Cyber Security Engineer Jobs - Doha Qatar

Quality Engineer ensures quality requirements for the organization. S/he identifies and drives continuous improvement projects by data analysis, inspections, and testing. Quality Specialist actively builds and spreads quality awareness within the organization by giving training and sharing best business practices. S/he supports the Quality Manager by deploying KONE’s quality strategy, governance, and goals.<br><br>Key Responsibilities:<br><br> Prioritize quality performance improvement based on data analysis Use continuous improvement methodologies to investigate non-conformances and determine root cause, identify corrective actions, and drive actions to closure Create and analyse large datasets from multiple platforms and analyse trends Support Quality Manager with target setting Perform in-process or product inspections and execute measures, tests, sampling methods, and other procedures to validate that requirements are met Maintain and update quality records required by the quality procedures Shares skills and knowledge with the organisation about quality methodology and tools, and ensures they understand and develop the capability to execute the learnings with established quality procedures and standards Supports the quality manager with internal and external audits Is responsible for coordinating preventive and corrective actions of Quality Improvement teams in her/his area.<br><br>Are you the one?<br><br>Bachelor's degree in Engineering Minimum 5 years of experience in a similar role Highly motivated, goal-oriented, diligent, organized self-starter with an orientation towards a high level of customer service Due to current labor regulations, this role is only open to Qatari nationals.<br><br>At KONE, we are focused on creating an innovative and collaborative working culture where we value the contribution of each individual. Employee engagement is a key focus area for us and we encourage participation and the sharing of information and ideas. Sustainability is an integral part of our culture and the daily practice. We follow ethical business practices and we seek to develop a culture of working together where co-workers trust and respect each other and good performance is recognized. In being a great place to work, we are proud to offer a range of experiences and opportunities that will help you to achieve your career and personal goals and enable you to live a healthy and balanced life.<br><br>Read more on www.kone.com/careers

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get To Know Our Team:<br><br>The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.<br><br>The Opportunity:<br><br>As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves customers and agents across all contact channels. You will work closely with Product, Operations, Analytics, Operations Efficiency, WFM, Dev Ops and engineering teams to deliver reliable data pipelines, scalable models, internal tools, and clear insights that improve customer experience and operational efficiency.<br><br>You are comfortable switching between engineering work (pipelines, data models, internal services, tooling, optimization) and analytics work (business questions, dashboards, deep‑dive analysis). You can talk to both engineers and business stakeholders in simple, clear language. At the Staff level, you will also shape CEG’s data and tooling strategy, influence cross‑team architecture, and raise the overall engineering and data bar for the team.<br><br>What You’ll Do:<br><br>Data Engineering<br><br>Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and serve data from CEG systems (case management, telephony, chat, bots, QA tools, WFM, CRM) and third‑party tools and logs. Develop and optimize data models (e.g., warehouse tables, marts, views) that power CEG reporting, monitoring, forecasting, QA, and experimentation. Ensure data quality, reliability, and observability:Implement validation checks, anomaly detection, and monitoring for key CEG datasets and metrics. Work with stakeholders to define and enforce data definitions, SLAs, and ownership for critical tables and metrics. Improve performance and cost efficiency of data jobs and queries (e.g., partitioning, indexing, query tuning, storage format optimization) for high‑volume CEG data (calls, chats, emails, cases, events). Collaborate with data platform and engineering teams to standardize tooling and best practices (e.g., version control, CI/CD for data and services, code review, documentation, runbooks).<br><br>Data Tools & Product Development<br><br>Design and build data tools and internal products for CEG (e.g., self‑service analytics, case monitoring dashboards, alerting systems, investigator tools, QA/review tools, agent performance views). Use languages such as Python, Java, Golang, or Java Script/Type Script to implement APIs, data services, and lightweight UIs that expose data in a usable way to agents, managers, and operations teams. Work closely with CEG product managers and operations to translate operational pain points into concrete data tools, from problem framing to delivery and iteration. Apply solid software engineering practices—testing, code reviews, CI/CD, observability—to data products so they are reliable, maintainable, and easy to extend. At Staff level, define and drive the roadmap for key CEG data tools and platforms, ensuring reuse across regions, lines of business, and channels.<br><br>Data Analytics & Business Impact<br><br>Partner with CEG product and business teams to translate questions into data problems and design clear analytic approaches. Build and maintain dashboards and reports (e.g., contact volumes, handling time, quality, customer outcomes, agent performance, spot alerts) that provide reliable metrics and self‑service access to data. Perform deep‑dive analysis to understand trends in contact patterns, customer issues, agent performance, and operational efficiency; identify root causes and propose practical, data‑driven recommendations. Define and maintain metrics and KPIs (e.g., CSAT, NPS, SLA, AHT, FCR, quality scores), ensuring consistent definitions across CEG teams and tools. Communicate findings in simple, business‑friendly language, including clear implications and recommended next steps.<br><br>Stakeholder & Team Collaboration <br><br>Act as a trusted data partner for CEG stakeholders (operations leaders, product managers, WFM, QA, training, policy, and regional leadership). Work with other data engineers, analysts, and scientists to align on data standards, reusable components, and shared datasets for CEG. Mentor junior and mid‑level team members on data engineering, analytics, and software engineering best practices. Contribute to continuous improvement of team workflows (code reviews, testing, documentation, runbooks, knowledge sharing, incident reviews). At Staff level, influence cross‑team architecture and ways of working, making sure CEG’s data ecosystem scales with business growth.<br>Required Qualifications:<br><br>8+ years working as a Data Engineer, Analytics Engineer, or Data Analyst in a data‑driven environment (Staff level typically 10+ or equivalent scope/impact). Strong SQL skills (complex joins, window functions, aggregation, query optimization). Experience with at least one major data warehouse / big data technology (e.g., Big Query, Snowflake, Redshift, Hive, Spark, Vertica, Star Rocks, or similar). Solid experience with ETL/ELT tools or orchestration frameworks (e.g., Airflow, dbt, internal frameworks). Proficiency in at least one programming language for data and services (e.g., Python, Java, Golang, Kotlin, or Java Script/Type Script). Experience building production‑grade data pipelines and/or data services with attention to quality, monitoring, and maintainability. Experience with BI / visualization tools (e.g., Tableau, Power BI, Superset, Metabase, Looker). Strong analytical thinking: comfortable framing business questions, exploring data, and turning results into clear insights. Ability to communicate complex topics in simple, concise language to non‑technical stakeholders.<br><br>Preferred Qualifications:<br><br>Experience with event‑driven data (logs, clickstream, customer journey, contact flows, tracking data). Knowledge of data modeling techniques (e.g., dimensional modeling, Kimball, data vault, star/snowflake schema). Experience with A/B testing, experimentation platforms, or causal analysis. Familiarity with ML pipelines or working with data science teams (e.g., routing models, QA scoring, forecasting, recommendations). Experience in online consumer products, travel, e‑commerce, or marketplaces. Hands‑on frontend or backend development experience (e.g., building internal tools in React/Next.js, Node.js, or similar frameworks) used by operations or support teams. Prior experience in a Staff or Tech‑Lead role, driving technical direction and mentoring multiple engineers/analysts.<br><br>#sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Us<br><br>Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable solutions.<br><br>Key Responsibilities<br><br>Builds positive working relationships with external parties such as the customer, suppliers, and contractors. Proactively resolve performance, scope, cost and schedule issues with the Client as they arise. Ability to identify and achieve the optimal technical and commercial position within the job context Monitor design activities, interdisciplinary data flow and communications. Responsible for design basis, design scopes and subsequent performance Manage, technical evaluations, risks identification, mitigation & control, project deliverables review, scope control & managing project variations, recovery planning, construction, commissioning, & project handover. Prepare Project Scope Statement. Design reviews and technical review meetings are scheduled, well documented and actions closed out. Client approvals are achieved without delay or rework. Consistently achieve above average client satisfaction rating for technical delivery. Management of disciplines to achieve scope completion at or below budget. Prompt claims identification, quantification and justification provided to project manager.<br><br>HSE Capability<br><br>Maintain HSE focus with the team to ensure OHSE requirements. Demonstrate behaviour and business practices commensurate with a culture of world’s best health, safety and environmental performance. <br><br>Education – Qualifications, Accreditation, Training<br><br>Full-Time Bachelor’s Degree in Engineering from an accredited university MME (Ministry of Municipality and Environment) engineering accreditation is a mandatory requirement. Candidates not holding this accreditation must be willing to achieve this within the probationary period. Chartered Professional Engineer (CPEng) status or undertaking the same will be an advantage<br><br>Industry Specific Experience<br><br>Extensive work experience in onshore projects at a senior level within the Oil & Gas industry. Must have experience of working with multidisciplinary teams Must have well developed engineering planning skills Preferably Middle East experience Experience working with an international engineering consultancy Experience in interface management with Statutory authorities and external stakeholders Strong experience in brownfield environment Mandatory experience in Pre-FEED and FEED phase <br><br>Moving forward together<br><br>We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We're building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard.<br><br>And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there's a path for you here.<br><br>And there's no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.

Position Overview:We are seeking a highly experienced Environmental & Sustainability Engineer to support in Qatar. The successful candidate will be responsible for managing environmental compliance, implementing sustainability initiatives, monitoring environmental performance, and ensuring that project activities comply with applicable environmental regulations, project requirements, and sustainability objectives.<br>Educational Qualification:Bachelor’s Degree in Environmental Engineering, Civil Engineering, Environmental Science, Sustainability, or a related discipline. BSc, BEng, BA, or equivalent qualification preferred. Additional professional certifications in environmental management or sustainability will be an advantage.<br>Experience:Minimum 15 years of total professional experience. Minimum 7 years of relevant/similar experience in environmental management, sustainability, or environmental engineering. Proven experience in environmental and sustainability roles on large-scale construction, infrastructure, building, or development projects. Qatar/GCC project experience will be an advantage. Experience with major environmental and sustainability standards, compliance requirements, and project environmental management systems is preferred.<br>Key Responsibilities:Develop, implement, and monitor environmental and sustainability plans for the project. Ensure project activities comply with applicable Qatar environmental regulations, client requirements, project specifications, and international environmental standards. Review and monitor the implementation of the Environmental Management Plan (EMP) and related procedures. Monitor environmental performance and identify potential environmental risks associated with construction activities. Conduct regular environmental inspections and site audits. Monitor and manage construction-related environmental aspects including dust, noise, vibration, waste, water, energy, emissions, soil, and biodiversity. Ensure proper implementation of waste management, recycling, and resource conservation initiatives. Monitor environmental permits, approvals, records, and compliance documentation. Review environmental reports, monitoring results, method statements, and relevant contractor submissions. Coordinate with contractors, subcontractors, consultants, client representatives, and regulatory authorities on environmental matters. Identify environmental non-conformities and ensure appropriate corrective and preventive actions are implemented. Develop and monitor sustainability initiatives to reduce environmental impacts and improve resource efficiency. Support the implementation of energy efficiency, water conservation, waste reduction, recycling, and sustainable construction practices. Monitor project sustainability targets and key environmental performance indicators (KPIs). Prepare environmental and sustainability reports for project management and relevant stakeholders. Conduct environmental awareness and sustainability training for project personnel and site teams. Maintain accurate environmental records, inspection reports, monitoring results, audit reports, and compliance documentation. Support environmental audits and regulatory inspections. Review and monitor contractor environmental and sustainability performance. Identify opportunities to improve the project's environmental performance and sustainability outcomes. Ensure environmental and sustainability requirements are incorporated into project planning, construction activities, and handover processes.<br>Required Skills:Strong knowledge of environmental management and sustainability principles within the construction industry. Good understanding of environmental regulations, compliance requirements, and environmental management systems. Knowledge of construction environmental impacts and mitigation measures. Experience in environmental monitoring, auditing, waste management, and pollution prevention. Strong knowledge of sustainability practices including energy, water, waste, and resource efficiency. Strong analytical, reporting, and documentation skills. Excellent communication and stakeholder coordination skills. Strong problem-solving and project management abilities. Ability to work effectively with multidisciplinary teams and project stakeholders.

Job Summary Serve as the mechanical engineer for overseas projects;Job responsibilities include but are not limited to: mechanical design, equipment selection, technical management, document design, review and verification, technical support for procurement (such as bidding document preparation, bid evaluation, clarification, drawing review, Factory Acceptance Test/FAT, etc.). Be responsible for coordinating with overseas clients, and solving project-related issues and problems raised by clients. Be responsible for completing other relevant work assigned by the client. Principal Responsibilities Communicate and coordinate with foreign clients on process design schemes, etc., and solve the problems of process discipline;Coordinate with client to solve relevant problems and close-out comments;Responsible for technical tender document review, technical clarification, bid evaluation document review and other work;Provide technical training and guidance on a regular basis, with no less than 10 times or 40 hours of training per year;Be responsible for completing other related work assigned by client. Education/Experience Requirements/ Certification Bachelor degree or above;More than 15 years of experience in offshore engineering (offshore platform, FPSO and semi-submersible platform, etc.) mechanical design；Familiar with professional knowledge of offshore engineering machinery, international standards (including but not limited to API, ASME, SHELL DEP, and Qatar Energy standards), as well as industry regulations and policies;Domestic candidates shall have English communication skills that meet work requirements (priority will be given to those with CET-6 score of 550 or above / TOEIC score of 700 or above); for foreign candidates, proficiency in both English and Chinese is preferred;Candidates with ASME VIII certification are preferred. Behavioral/Technical Skills: Proficient in using relevant office software such as Excel, Word, and PPT (Static Equipment Engineers shall be proficient in using PVELT and TANK software);Serious and rigorous in work, strong sense of responsibility, hard-working, and able to work overtime at any time according to work needs;Work seriously, rigorous, strong sense of responsibility, hard-working;Possess good learning ability and be able to take the initiative to learn new skills and knowledge;

Saipem is hiring!<br><br>Saipem is a global leader in the engineering and construction of major projects for the energy and infrastructure sectors, both offshore and onshore. Saipem is “One Company” organized into business lines: Asset Based Services, Drilling, Energy Carriers, Offshore Wind, Sustainable Infrastructures, Robotics & Industrialized Solutions. Always oriented towards technological innovation, the company’s purpose is “Engineering for a sustainable future”. As such Saipem is committed to supporting its clients on the energy transition pathway towards Net Zero, with increasingly digital means, technologies and processes geared for environmental sustainability. Listed on the Milan Stock Exchange, it is present in more than 50 countries around the world and employs about 30,000 people of over 130 nationalities.<br><br>Purpose Of The Position<br><br>As Instrumentation Engineer, you will respond to the Instrumentation Manager and be part of Saipem Qatar within Engineering Fixed Facilities Department.<br><br>How can you support us? Here below your responsibilities:<br><br>Mission.<br><br>Perform Project technical tasks assigned by the Instrumentation Discipline Lead consisting in design, checking, layout definition, installation drawings and material definition, validation, testing and engineering of process measuring sensors, process actuators, installation elements and process safety elements Interface and coordinate with the other Project Team Specialists and Designers Coordinate technical activities performed either by insourcing either by outsourcing<br><br>Tasks.<br><br>The Engineer executes the activities within his area of responsibility, ensuring the compliance with the QA/QC and HSE requirements<br><br>Tasks Include<br><br>A - Development Technology know how and Commercial support<br><br>B - Feasibility<br><br>C - Bidding phase/Commercial proposal development<br><br>▪ Prepare Instrumentation elements (tagged items and bulk material), quantities for cost and erection works estimates<br><br>▪ Support Discipline Lead to define man hours and cost estimat es<br><br>D - Project Execution<br><br>▪ Review Client technical documentation and requirements<br><br>▪ Coordinate subcontracted engineering activities and control subcontracted engineering documents<br><br>▪ Define engineering design basis and guidelines<br><br>▪ Prepare the technical documentation for Instrumentation elements material and services requisitions and prepare, according to internal procedures, the technical evaluations<br><br>▪ Provide technical support to Project Team<br><br>▪ Optimise Instrumentation design ensuring minimal cost and complexity in compliance with the contractual and safety requirements<br><br>▪ Prepare Instrumentation technical specifications<br><br>▪ Prepare Instrumentation data sheets<br><br>▪ Prepare Instrumentation installation specifications and drawings<br><br>▪ Prepare Instrumentation BOQs and MTOs<br><br>▪ Participate to P and ID mechanization<br><br>▪ Validate Vendor control valves and safety valves sizing calculations<br><br>▪ Validate Vendor measurements elements sizing calculations<br><br>▪ Coordinate engineering activities<br><br>▪ Ensure Instrumentation 3D modeling design activities<br><br>▪ Participate to F. A. T. activities ad Vendor workshop<br><br>E - Construction and start up<br><br>▪ Provide technical and engineering support to construction Team<br><br>What are we looking for?<br><br>Education: Master’s degree in Instrumentation Engineering (preferable) or other Instrumentation Engineering degree Experience: + 5 years EPC experience in instrumentation skills expert level. Languages: Proficient in English<br><br>Technical Skills / Knowledge With<br><br>EPC Experience Company Processes and Procedures Project Management Tools & Methodologies Technical support Bidding methodologies, standard codes and regulations Design criteria and guidelines<br><br>IT Skills<br><br>Office package (including Microsoft Project) Proficient in Microsoft Office Suite (Word, Excel, Power Point, Outlook) Advanced Microsoft Excel skills<br><br>What Can We Offer To You<br><br>Permanent Contract - Project-based position Corporate Benefits: We offer a comprehensive benefits package Working Hours: 45 hours weekly (9 hours x 5 days) Our One Saipem Way soft skills model leverages on skills development, career growth, opportunities to innovate through complex challenges by promoting communication and collaboration to achieve common goals. Location: Doha, Qatar<br><br>Additional Information<br><br>We support your development! Do you feel you might not fit this role perfectly? If you think you can contribute to our business development in the future, don’t hesitate to apply anyway through our spontaneous application form!<br><br>We embrace diversity! At Saipem, we believe that innovation thrives through diversity. Our culture is built on mutual respect, collaboration, inclusion and the belief that our differences drive our progress.<br><br>Safety and Sustainability matter to us! Operating in difficult and at times extreme situations, the focus is always on the health and safety of people and the preservation of the natural ecosystem.<br><br>Find out more on our career page here<br><br>One vision, many paths, limitless possibilities.<br><br>PRIVACY POLICY<br><br>In accordance with the Qatar's Personal Data Privacy Protection Law (PDPPL) enacted as Law No. 13 of 2016 (“GDPR”). All interested candidates (L. 903/03) are invited to consult the privacy policy (art 13, 14, D. Lgs 196/03 and art 13 GDPR 679/16).

Saipem is hiring!<br><br>Saipem is a global leader in the engineering and construction of major projects for the energy and infrastructure sectors, both offshore and onshore. Saipem is “One Company” organized into business lines: Asset Based Services, Drilling, Energy Carriers, Offshore Wind, Sustainable Infrastructures, Robotics & Industrialized Solutions. Always oriented towards technological innovation, the company’s purpose is “Engineering for a sustainable future”. As such Saipem is committed to supporting its clients on the energy transition pathway towards Net Zero, with increasingly digital means, technologies and processes geared for environmental sustainability. Listed on the Milan Stock Exchange, it is present in more than 50 countries around the world and employs about 30,000 people of over 130 nationalities.<br><br>Purpose Of The Position<br><br>As Instrumentation Engineer, you will respond to the Instrumentation Manager and be part of Saipem Qatar within Engineering Fixed Facilities Department.<br><br>How can you support us? Here below your responsibilities:<br><br>Mission.<br><br>Perform Project technical tasks assigned by the Instrumentation Discipline Lead consisting in design, checking, layout definition, installation drawings and material definition, validation, testing and engineering of process measuring sensors, process actuators, installation elements and process safety elements Interface and coordinate with the other Project Team Specialists and Designers Coordinate technical activities performed either by insourcing either by outsourcing<br><br>Tasks.<br><br>The Engineer executes the activities within his area of responsibility, ensuring the compliance with the QA/QC and HSE requirements<br><br>Tasks Include<br><br>A - Development Technology know how and Commercial support<br><br>B - Feasibility<br><br>C - Bidding phase/Commercial proposal development<br><br>▪ Prepare Instrumentation elements (tagged items and bulk material), quantities for cost and erection works estimates<br><br>▪ Support Discipline Lead to define man hours and cost estimat es<br><br>D - Project Execution<br><br>▪ Review Client technical documentation and requirements<br><br>▪ Coordinate subcontracted engineering activities and control subcontracted engineering documents<br><br>▪ Define engineering design basis and guidelines<br><br>▪ Prepare the technical documentation for Instrumentation elements material and services requisitions and prepare, according to internal procedures, the technical evaluations<br><br>▪ Provide technical support to Project Team<br><br>▪ Optimise Instrumentation design ensuring minimal cost and complexity in compliance with the contractual and safety requirements<br><br>▪ Prepare Instrumentation technical specifications<br><br>▪ Prepare Instrumentation data sheets<br><br>▪ Prepare Instrumentation installation specifications and drawings<br><br>▪ Prepare Instrumentation BOQs and MTOs<br><br>▪ Participate to P and ID mechanization<br><br>▪ Validate Vendor control valves and safety valves sizing calculations<br><br>▪ Validate Vendor measurements elements sizing calculations<br><br>▪ Coordinate engineering activities<br><br>▪ Ensure Instrumentation 3D modeling design activities<br><br>▪ Participate to F. A. T. activities ad Vendor workshop<br><br>E - Construction and start up<br><br>▪ Provide technical and engineering support to construction Team<br><br>What are we looking for?<br><br>Education: Master’s degree in Instrumentation Engineering (preferable) or other Instrumentation Engineering degree Experience: + 5 years EPC experience in instrumentation skills expert level. Languages: Proficient in English<br><br>Technical Skills / Knowledge With<br><br>EPC Experience Company Processes and Procedures Project Management Tools & Methodologies Technical support Bidding methodologies, standard codes and regulations Design criteria and guidelines<br><br>IT Skills<br><br>Office package (including Microsoft Project) Proficient in Microsoft Office Suite (Word, Excel, Power Point, Outlook) Advanced Microsoft Excel skills<br><br>What Can We Offer To You<br><br>Permanent Contract - Project-based position Corporate Benefits: We offer a comprehensive benefits package Working Hours: 45 hours weekly (9 hours x 5 days) Our One Saipem Way soft skills model leverages on skills development, career growth, opportunities to innovate through complex challenges by promoting communication and collaboration to achieve common goals. Location: Doha, Qatar<br><br>Additional Information<br><br>We support your development! Do you feel you might not fit this role perfectly? If you think you can contribute to our business development in the future, don’t hesitate to apply anyway through our spontaneous application form!<br><br>We embrace diversity! At Saipem, we believe that innovation thrives through diversity. Our culture is built on mutual respect, collaboration, inclusion and the belief that our differences drive our progress.<br><br>Safety and Sustainability matter to us! Operating in difficult and at times extreme situations, the focus is always on the health and safety of people and the preservation of the natural ecosystem.<br><br>Find out more on our career page here<br><br>One vision, many paths, limitless possibilities.<br><br>PRIVACY POLICY<br><br>In accordance with the Qatar's Personal Data Privacy Protection Law (PDPPL) enacted as Law No. 13 of 2016 (“GDPR”). All interested candidates (L. 903/03) are invited to consult the privacy policy (art 13, 14, D. Lgs 196/03 and art 13 GDPR 679/16).

Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases.<br><br>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br><br>In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.<br><br>What We Do<br><br>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br><br>About The Role<br><br>This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, Open Router, and other technologies, alongside your own technical expertise and approaches.<br><br>Key Responsibilities<br><br>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle Java Script-rendered content and changing site behavior Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes<br><br>Educational Qualifications<br><br>At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required) Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus<br><br>Academic and/or Professional Experience<br><br>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.<br><br>Technical Skills (Essential)<br><br>Strong experience in Python web scraping (Beautiful Soup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)<br><br>Additional Requirements<br><br>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to Git Hub is a plus English proficiency: Upper-intermediate (B2) or above (required)<br><br>Project time expectations <br><br>For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.<br><br>Compensation<br><br>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Building on our past. Ready for the future<br><br>Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now.<br><br>Key Responsibilities<br><br>Demonstrate a visible and active commitment to HSE management and its associated requirements in a project environment. A thorough knowledge of the regulations, codes and standards and a good understanding of onshore and offshore engineering practices applicable to topsides/plant layout and piping design for oil and gas facilities. Extensive current design experience is required in piping engineering, piping stress, pipe supports, topsides & onshore plant equipment layouts and detailed piping design, all gained with notable design contractors and/or oil/gas companies within the industry. Extensive knowledge of piping materials to guide staff in the preparation of piping, valve and SP Item specifications and subsequently ensure purchase to required standards. Experience in brown fields & asset services type project / contracts. Excellent technical and practical engineering skills and able to consistently deliver quality, accurate and timely work to Worley and its clients. An excellent knowledge of the fundamental requirements of the piping discipline, and the basic requirements of other disciplines. An excellent knowledge of applicable local and international standards and statutory and regulatory requirements. Competent in the use of relevant piping discipline specific software.<br><br>HSE Capability<br><br>Maintain HSE focus with the team to ensure OHSE requirements. Demonstrate behaviour and business practices commensurate with a culture of world’s best health, safety and environmental performance. Demonstrate a visible and active commitment to:personal well-being.healthy and safe workplaces and activities.<br>Industry Specific Experience<br><br>Extensive work experience at a senior level within the Oil & Gas industry in both Onshore and Offshore projects. Design & Engineering experience within the oil and gas industry, with recent experience leading a team of piping discipline engineers and designers. Extensive technical, practical and leadership experience in the piping discipline in the same or similar industry, including experience managing and leading multi-disciplinary projects and teams.<br><br>Qualifications<br><br>Education – Qualifications, Accreditation, Training: <br><br>Full-Time bachelor’s degree in mechanical engineering from an accredited university. MME (Ministry of Municipality and Environment) engineering accreditation is a mandatory requirement. Candidates not holding this accreditation must be willing to achieve this within the probationary period. Chartered Professional Engineer (CPEng) status or undertaking the same will be an advantage.<br><br>Moving forward together<br><br>We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law.<br><br>We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation.<br><br>And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology.<br><br>Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.

Akura Medical, a Shifamed portfolio company, is advancing a differentiated platform for the treatment of venous thromboembolism (VTE), which affects up to 900,000 Americans each year. The company recently received US IDE approval for its QUADRA-PE study evaluating the Katana™ Thrombectomy System in acute pulmonary embolism patients. In parallel, Akura Medical is developing Nav IQ™, a software platform that transforms CT angiograms into 3D pulmonary vascular models to enhance visualization, procedural planning, and clot assessment towards better safety, efficacy, and ease of use. Akura has recently completed a $53 million first close of its Series C financing, led by the Qatar Investment Authority, supporting the launch of a joint venture and a new R&D and manufacturing center in Doha, Qatar.<br><br>About Shifamed<br><br>Founded in 2009 by serial entrepreneur Amr Salahieh, Shifamed LLC is a privately held medical device innovation hub focused on the development of novel medical products to address clinical needs in the rapidly evolving fields of cardiology and ophthalmology.<br><br>Description:<br><br>Akura Medical, a Shifamed portfolio company, is seeking a highly skilled and motivated Sr. or Staff Software Engineer to contribute to the design, development, and integration of advanced medical imaging systems. In this role, you will serve as a senior technical contributor, applying your expertise to solve complex engineering problems while collaborating across multidisciplinary teams. You will play a critical role in developing innovative imaging technologies that meet regulatory standards and advance patient care. This is a full-time, on-site position at our new, R&D facility in Doha, Qatar.<br><br>Responsibilities, Skills & Hands-On Experience:<br><br>Contribute to the architecture, design, and integration of medical image processing systems, ensuring scalability, reliability, and compliance with regulatory requirements (e.g., FDA, ISO 13485). Develop and implement imaging algorithms, visualization tools, and system components. Collaborate closely with R&D, clinical, regulatory, and manufacturing teams to align technical deliverables with program objectives. Perform feasibility studies, risk assessments, and trade-off analyses to guide design decisions. Mentor junior engineers, sharing best practices in design, coding, and testing. Partner with external vendors and collaborators to support imaging-related initiatives. Develop and execute testing protocols, verification, and validation processes. Contribute to technical documentation, including regulatory submissions. Stay current with industry trends and emerging technologies in medical imaging, proposing improvements and new approaches.<br><br><br>Education & Work Experience:<br><br>Bachelor’s degree in Electrical Engineering, Biomedical Engineering, Computer Science, or related field (M. S. preferred).8+ years of experience in medical imaging systems design and development. Strong knowledge of imaging modalities (e.g., X-ray, MRI, ultrasound) and image processing algorithms. Proficiency in software development (e.g., MATLAB, Python, C++), visualization, and hardware integration. Experience with UI frameworks such as VTK and Qt/QML. Experience with cloud-based imaging applications and integration of AI/ML methods for computer vision/medical imaging. Solid understanding of regulatory and quality standards, including cybersecurity (e.g., ISO 13485, IEC 60601, FDA requirements). Track record of technical contributions, including patents, publications, or conference presentations in medical imaging. Strong problem-solving, communication, and collaboration skills. Ability to succeed in a fast-paced, entrepreneurial environment.<br><br><br>Our salary ranges are calculated by role, level, and location. Please note that your position within that range will be determined by your job-related knowledge, location, skills, experience, relevant education, and training/certifications.<br><br>NOTICE TO CANDIDATES: Please be aware that Shifamed and its portfolio companies do not conduct interviews or extend offers through mobile web chat applications. Please report any such occurrences to hr@shifamed.com.

Akura Medical, a Shifamed portfolio company, is advancing a differentiated platform for the treatment of venous thromboembolism (VTE), which affects up to 900,000 Americans each year. The company recently received US IDE approval for its QUADRA-PE study evaluating the Katana™ Thrombectomy System in acute pulmonary embolism patients. In parallel, Akura Medical is developing Nav IQ™, a software platform that transforms CT angiograms into 3D pulmonary vascular models to enhance visualization, procedural planning, and clot assessment towards better safety, efficacy, and ease of use. Akura has recently completed a $53 million first close of its Series C financing, led by the Qatar Investment Authority, supporting the launch of a joint venture and a new R&D and manufacturing center in Doha, Qatar.<br><br>About Shifamed<br><br>Founded in 2009 by serial entrepreneur Amr Salahieh, Shifamed LLC is a privately held medical device innovation hub focused on the development of novel medical products to address clinical needs in the rapidly evolving fields of cardiology and ophthalmology.<br><br>Description:<br><br>Akura Medical, a Shifamed portfolio company, is seeking a highly skilled and motivated Sr. or Staff Software Engineer to contribute to the design, development, and integration of advanced medical imaging systems. In this role, you will serve as a senior technical contributor, applying your expertise to solve complex engineering problems while collaborating across multidisciplinary teams. You will play a critical role in developing innovative imaging technologies that meet regulatory standards and advance patient care. This is a full-time, on-site position at our new, R&D facility in Doha, Qatar.<br><br>Responsibilities, Skills & Hands-On Experience:<br><br>Contribute to the architecture, design, and integration of medical image processing systems, ensuring scalability, reliability, and compliance with regulatory requirements (e.g., FDA, ISO 13485). Develop and implement imaging algorithms, visualization tools, and system components. Collaborate closely with R&D, clinical, regulatory, and manufacturing teams to align technical deliverables with program objectives. Perform feasibility studies, risk assessments, and trade-off analyses to guide design decisions. Mentor junior engineers, sharing best practices in design, coding, and testing. Partner with external vendors and collaborators to support imaging-related initiatives. Develop and execute testing protocols, verification, and validation processes. Contribute to technical documentation, including regulatory submissions. Stay current with industry trends and emerging technologies in medical imaging, proposing improvements and new approaches.<br><br><br>Education & Work Experience:<br><br>Bachelor’s degree in Electrical Engineering, Biomedical Engineering, Computer Science, or related field (M. S. preferred).8+ years of experience in medical imaging systems design and development. Strong knowledge of imaging modalities (e.g., X-ray, MRI, ultrasound) and image processing algorithms. Proficiency in software development (e.g., MATLAB, Python, C++), visualization, and hardware integration. Experience with UI frameworks such as VTK and Qt/QML. Experience with cloud-based imaging applications and integration of AI/ML methods for computer vision/medical imaging. Solid understanding of regulatory and quality standards, including cybersecurity (e.g., ISO 13485, IEC 60601, FDA requirements). Track record of technical contributions, including patents, publications, or conference presentations in medical imaging. Strong problem-solving, communication, and collaboration skills. Ability to succeed in a fast-paced, entrepreneurial environment.<br><br><br>Our salary ranges are calculated by role, level, and location. Please note that your position within that range will be determined by your job-related knowledge, location, skills, experience, relevant education, and training/certifications.<br><br>NOTICE TO CANDIDATES: Please be aware that Shifamed and its portfolio companies do not conduct interviews or extend offers through mobile web chat applications. Please report any such occurrences to hr@shifamed.com.

Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. <br><br>In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br><br>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br><br>What We Do<br><br>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br><br>About The Role<br><br>This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and Open Router alongside your own resourceful approaches.<br><br>Key Responsibilities<br><br>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage internal tools (Apify, Open Router) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle Java Script-rendered content and changing site behavior. Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes<br><br>Compensation<br><br>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.<br><br>How To Get Started<br><br>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.<br><br>Requirements<br><br>At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus Strong experience in Python web scraping (Beautiful Soup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to Git Hub is a plus English proficiency: Upper-intermediate (B2) or above (required)<br><br>Benefits<br><br>Why this freelance opportunity might be a great fit for you? <br><br>Work fully remote on your own schedule with just a laptop and stable internet connection. Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field. Participate in performance-based bonus programs that reward high-quality work and consistent delivery

Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. <br><br>In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br><br>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br><br>What We Do<br><br>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br><br>About The Role<br><br>This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and Open Router alongside your own resourceful approaches.<br><br>Key Responsibilities<br><br>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage internal tools (Apify, Open Router) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle Java Script-rendered content and changing site behavior. Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes<br><br>Compensation<br><br>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.<br><br>How To Get Started<br><br>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.<br><br>Requirements<br><br>At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus Strong experience in Python web scraping (Beautiful Soup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to Git Hub is a plus English proficiency: Upper-intermediate (B2) or above (required)<br><br>Benefits<br><br>Why this freelance opportunity might be a great fit for you? <br><br>Work fully remote on your own schedule with just a laptop and stable internet connection. Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field. Participate in performance-based bonus programs that reward high-quality work and consistent delivery

Job Location:<br><br>Banana Island Resort Doha By Anantara<br><br>Anantara Hotels & Resorts is a global luxury hotel and resort brand rooted in Thai culture, with an intrinsic sense of authentic hospitality. Inspired by the Sanskrit word meaning ‘without end’, our spirit embodies freedom, movement, and harmony. We believe every journey should leave a lasting impression — for our guests and for our people.<br><br>Founded in 2001 in Thailand, we have since expanded across the world, welcoming guests in some of the world’s most captivating locales — from pristine beaches and private islands to ancient sites and vibrant metropolises. If you are driven by a passion for generosity, warmth and heartfelt hospitality, Anantara offers a career without limits.<br><br>The Marine Electrical Engineer is responsible for the installation, operation, maintenance, troubleshooting, and repair of electrical and electronic systems onboard vessels or within marine facilities. The role ensures that all electrical equipment operates safely, efficiently, and in compliance with maritime regulations and company standards.<br><br>Key Responsibilities<br><br>Install, inspect, maintain, and repair marine electrical and electronic systems. Perform preventive and corrective maintenance on electrical equipment, including generators, motors, switchboards, transformers, and distribution systems. Troubleshoot electrical faults and implement effective solutions to minimize downtime. Maintain and repair navigation, communication, automation, alarm, and monitoring systems. Conduct testing, calibration, and commissioning of electrical equipment and control systems. Read and interpret electrical drawings, wiring diagrams, and technical manuals. Monitor the performance and reliability of onboard electrical systems. Ensure compliance with international maritime regulations, classification society requirements, and company safety standards. Coordinate with engineering, operations, and maintenance teams during repairs, dry dockings, and vessel upgrades. Maintain accurate maintenance records, inspection reports, and equipment documentation. Assist in planning maintenance schedules, spare parts inventory, and equipment procurement. Supervise contractors and technicians during electrical installation and repair work when required. Ensure adherence to Lockout/Tagout (LOTO), electrical safety procedures, and permit-to-work systems. Respond to emergency breakdowns and support troubleshooting during vessel operations.<br><br>Qualifications<br><br>Bachelor's Degree or Diploma in Electrical Engineering, Marine Electrical Engineering, Marine Engineering, or a related discipline. Professional certifications in marine electrical systems or electrical safety are an advantage. Valid STCW certification (for onboard positions), if applicable.<br><br>Experience<br><br>Minimum 3–5 years of experience in marine electrical engineering, ship maintenance, offshore operations, or shipbuilding. Experience working on commercial vessels, offshore support vessels, yachts, passenger ships, or marine facilities is preferred. Experience with marine automation and control systems is an advantage.<br><br>Not the right fit? Set up email alerts as new job postings become available that meet your interest!

Location: Doha, Qatar Position Type: Full-Time Experience: ~4 to 5 years<br>About Avey<br>Avey is a deep-tech company innovating AI to transform healthcare and improve lives across the globe. <br>Avey is on a mission to unlock the full potential of clinical care and make every health journey delightful.<br>We are looking for enthusiastic, hard-working professionals who are excited to contribute to and join Avey’s mission to create a solution that will have a real and positive effect on the world.<br>Position Overview:<br>We are hiring a Dev Ops Engineer to design, build, and operate cloud infrastructure across AWS, Kubernetes, Terraform, CI/CD, networking, secrets, and observability — including exposure to GPU/LLM workloads.<br>This is a hands-on role focused on infrastructure ownership, platform reliability, and continuous improvement.<br>What you’ll do:<br>• Own AWS infrastructure using Terraform (VPC, EKS, RDS, Elasti Cache, ECR, IAM, VPN, Private Link)• Operate Kubernetes (EKS): workloads, Helm, node groups (including GPU), RBAC, ingress• Build and improve CI/CD using Git Hub Actions with OIDC → AWS, Docker Buildx, automated deployments• Manage networking and edge layer (ALB, NLB, API Gateway / Kong, TLS, DNS, private connectivity)• Handle secrets and access using Vault, KMS, IRSA, and least-privilege IAM• Support GPU/LLM workloads (v LLM, model deployment, inference infra, scaling)• Own observability (Open Telemetry, logging, alerting, incident handling)• Partner with product teams for onboarding and platform usage• Follow safe operations practices and production discipline<br>Must-have:<br>• ~4 years Dev Ops / Platform / SRE experience• Strong AWS experience (VPC, EC2, EKS, IAM, ECR, S3, RDS)• Kubernetes (Deployments, Services, Ingress, RBAC, troubleshooting)• Terraform (modules, environments, state management)• CI/CD (Git Hub Actions, Docker build/push, secure auth)• Linux, Bash, AWS CLI, kubectl• Networking fundamentals (DNS, TLS, load balancing, private/public access)• Secrets management (Vault / AWS Secrets Manager)• Clear written communication<br>Tech stack:<br>• AWS (primary), Azure (optional)• Terraform• Docker, ECR, EKS, Helm• Git Hub Actions (OIDC → IAM)• ALB, NLB, API Gateway / Kong, VPC, Private Link• Vault, KMS, IRSA• RDS Postgre SQL, Elasti Cache / Valkey, S3• Open Telemetry, Open Observe• GPU EKS node groups, v LLM<br>Who thrives here:<br>• Ownership mindset across infrastructure• Strong debugging and production awareness• Comfortable working across teams• Interested in cloud + Kubernetes + AI infra<br>Note:<br>Avey is an equal opportunity employer. We encourage candidates from all backgrounds to apply.<br>This job description is not exhaustive and may be subject to change based on the evolving needs of the company.

Location: Doha, Qatar Position Type: Full-Time Experience: ~4 to 5 years<br>About Avey<br>Avey is a deep-tech company innovating AI to transform healthcare and improve lives across the globe. <br>Avey is on a mission to unlock the full potential of clinical care and make every health journey delightful.<br>We are looking for enthusiastic, hard-working professionals who are excited to contribute to and join Avey’s mission to create a solution that will have a real and positive effect on the world.<br>Position Overview:<br>We are hiring a Dev Ops Engineer to design, build, and operate cloud infrastructure across AWS, Kubernetes, Terraform, CI/CD, networking, secrets, and observability — including exposure to GPU/LLM workloads.<br>This is a hands-on role focused on infrastructure ownership, platform reliability, and continuous improvement.<br>What you’ll do:<br>• Own AWS infrastructure using Terraform (VPC, EKS, RDS, Elasti Cache, ECR, IAM, VPN, Private Link)• Operate Kubernetes (EKS): workloads, Helm, node groups (including GPU), RBAC, ingress• Build and improve CI/CD using Git Hub Actions with OIDC → AWS, Docker Buildx, automated deployments• Manage networking and edge layer (ALB, NLB, API Gateway / Kong, TLS, DNS, private connectivity)• Handle secrets and access using Vault, KMS, IRSA, and least-privilege IAM• Support GPU/LLM workloads (v LLM, model deployment, inference infra, scaling)• Own observability (Open Telemetry, logging, alerting, incident handling)• Partner with product teams for onboarding and platform usage• Follow safe operations practices and production discipline<br>Must-have:<br>• ~4 years Dev Ops / Platform / SRE experience• Strong AWS experience (VPC, EC2, EKS, IAM, ECR, S3, RDS)• Kubernetes (Deployments, Services, Ingress, RBAC, troubleshooting)• Terraform (modules, environments, state management)• CI/CD (Git Hub Actions, Docker build/push, secure auth)• Linux, Bash, AWS CLI, kubectl• Networking fundamentals (DNS, TLS, load balancing, private/public access)• Secrets management (Vault / AWS Secrets Manager)• Clear written communication<br>Tech stack:<br>• AWS (primary), Azure (optional)• Terraform• Docker, ECR, EKS, Helm• Git Hub Actions (OIDC → IAM)• ALB, NLB, API Gateway / Kong, VPC, Private Link• Vault, KMS, IRSA• RDS Postgre SQL, Elasti Cache / Valkey, S3• Open Telemetry, Open Observe• GPU EKS node groups, v LLM<br>Who thrives here:<br>• Ownership mindset across infrastructure• Strong debugging and production awareness• Comfortable working across teams• Interested in cloud + Kubernetes + AI infra<br>Note:<br>Avey is an equal opportunity employer. We encourage candidates from all backgrounds to apply.<br>This job description is not exhaustive and may be subject to change based on the evolving needs of the company.

Location: Doha, Qatar Position Type: Full-Time Experience: ~4 to 5 years<br>About Avey<br>Avey is a deep-tech company innovating AI to transform healthcare and improve lives across the globe. <br>Avey is on a mission to unlock the full potential of clinical care and make every health journey delightful.<br>We are looking for enthusiastic, hard-working professionals who are excited to contribute to and join Avey’s mission to create a solution that will have a real and positive effect on the world.<br>Position Overview:<br>We are hiring a Dev Ops Engineer to design, build, and operate cloud infrastructure across AWS, Kubernetes, Terraform, CI/CD, networking, secrets, and observability — including exposure to GPU/LLM workloads.<br>This is a hands-on role focused on infrastructure ownership, platform reliability, and continuous improvement.<br>What you’ll do:<br>• Own AWS infrastructure using Terraform (VPC, EKS, RDS, Elasti Cache, ECR, IAM, VPN, Private Link)• Operate Kubernetes (EKS): workloads, Helm, node groups (including GPU), RBAC, ingress• Build and improve CI/CD using Git Hub Actions with OIDC → AWS, Docker Buildx, automated deployments• Manage networking and edge layer (ALB, NLB, API Gateway / Kong, TLS, DNS, private connectivity)• Handle secrets and access using Vault, KMS, IRSA, and least-privilege IAM• Support GPU/LLM workloads (v LLM, model deployment, inference infra, scaling)• Own observability (Open Telemetry, logging, alerting, incident handling)• Partner with product teams for onboarding and platform usage• Follow safe operations practices and production discipline<br>Must-have:<br>• ~4 years Dev Ops / Platform / SRE experience• Strong AWS experience (VPC, EC2, EKS, IAM, ECR, S3, RDS)• Kubernetes (Deployments, Services, Ingress, RBAC, troubleshooting)• Terraform (modules, environments, state management)• CI/CD (Git Hub Actions, Docker build/push, secure auth)• Linux, Bash, AWS CLI, kubectl• Networking fundamentals (DNS, TLS, load balancing, private/public access)• Secrets management (Vault / AWS Secrets Manager)• Clear written communication<br>Tech stack:<br>• AWS (primary), Azure (optional)• Terraform• Docker, ECR, EKS, Helm• Git Hub Actions (OIDC → IAM)• ALB, NLB, API Gateway / Kong, VPC, Private Link• Vault, KMS, IRSA• RDS Postgre SQL, Elasti Cache / Valkey, S3• Open Telemetry, Open Observe• GPU EKS node groups, v LLM<br>Who thrives here:<br>• Ownership mindset across infrastructure• Strong debugging and production awareness• Comfortable working across teams• Interested in cloud + Kubernetes + AI infra<br>Note:<br>Avey is an equal opportunity employer. We encourage candidates from all backgrounds to apply.<br>This job description is not exhaustive and may be subject to change based on the evolving needs of the company.

Scale’s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of:<br><br>Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMsUpskilling and advisory services to spread the impact of AI<br><br>Scale is hiring ML Research Engineers to bridge the gap between emerging AI capabilities and mission-critical, real-world impact. In our Global Public Sector (GPS) division, we don’t just implement tools; we conduct applied research to solve the unique challenges of sovereign AI.<br><br>Your role is to move beyond off-the-shelf implementations. You will lead the research into Agent Design, Reliability, and AI Safety, developing novel system architectures that power high-stakes government applications. You will be the bridge between a research paper and a production-ready system that functions at scale.<br><br>The Mission<br><br>Applied Agent Research: Leading the design of reliable, multi-step agentic systems and long-horizon reasoning frameworks that can solve complex problems for national security and public policy. Systemic Evaluation & Red-Teaming: Developing rigorous benchmarks and evaluation protocols to ensure AI systems are safe, unbiased, and performant in high-stakes, non-commercial environments. Model Optimisation & Selection: Conducting deep-dive research into model performance (both open-weight and closed) to identify the best tools for niche domains, optimising them through context engineering, RAG, and other inference-time techniques.<br><br>What You Will Do<br><br>Architect Agentic Systems: Design and build agent architectures, the harnesses, tool-use protocols, and logic flows that allow LLMs to function as reliable, autonomous agents in complex workflows. Drive Reliability & Safety: Research and implement robust evaluation frameworks. This includes red-teaming for sovereign AI requirements and developing strategies to mitigate hallucinations in regulated data environments. Synthesise Deep Research: Build agents capable of autonomous information synthesis and long-horizon reasoning, enabling users to analyse massive datasets and extract actionable insights. Optimize for Niche Domains: Evaluate and adapt models for specialised use cases, such as LLM reasoning for low-resource languages, complex OCR tasks, or working in GPU-constrained environments Build Evaluation Frontiers: Create new, automated benchmarks that define what success looks like for AI in the public sector, ensuring our systems meet the highest standards of accuracy and sovereignty. Consult as a Technical Authority: Act as a subject matter expert for public sector leaders, advising on the practical limits, safety requirements, and performance trade-offs of emerging AI technologies.<br><br>Ideally, You Have<br><br>Engineering Rigour: Exceptional proficiency in Python and experience building agentic harnesses or AI infrastructure. You write production-ready code that is modular, scalable, and reliable. Applied Research Mindset: A track record of taking theoretical AI concepts and turning them into functional prototypes or products. You know how to read a paper and determine if its methods are actually viable for a production system. Evaluation Expertise: Experience in LLM benchmarking, red-teaming, or building evaluations that go beyond standard academic datasets. Advanced Degree: A Master’s or PhD in Computer Science, Mathematics, or a related field (with a focus on ML) is preferred, but we value demonstrated impact and engineering excellence.<br><br>Nice to Haves<br><br>Agentic Systems Expert: Deep experience in building multi-agent systems, including chain-of-thought optimisation and tool-calling reliability. Sovereign AI Experience: Experience working with highly regulated data environments, on-premise deployments, or sensitive government use cases. Inference Optimisation: Knowledge of how to optimise model performance for environments with limited GPU capacity or specific latency requirements. Zero-to-One Mindset: You are comfortable navigating ambiguity and enjoy defining research directions from scratch to solve a specific product or mission need.<br><br>For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process.<br><br>PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.<br><br>About Us:<br><br>At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U. S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.<br><br>We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. <br><br>We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.<br><br>We comply with the United States Department of Labor's Pay Transparency provision. <br><br>PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Scale’s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of:<br><br>Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMsUpskilling and advisory services to spread the impact of AI<br><br>Scale is hiring ML Research Engineers to bridge the gap between emerging AI capabilities and mission-critical, real-world impact. In our Global Public Sector (GPS) division, we don’t just implement tools; we conduct applied research to solve the unique challenges of sovereign AI.<br><br>Your role is to move beyond off-the-shelf implementations. You will lead the research into Agent Design, Reliability, and AI Safety, developing novel system architectures that power high-stakes government applications. You will be the bridge between a research paper and a production-ready system that functions at scale.<br><br>The Mission<br><br>Applied Agent Research: Leading the design of reliable, multi-step agentic systems and long-horizon reasoning frameworks that can solve complex problems for national security and public policy. Systemic Evaluation & Red-Teaming: Developing rigorous benchmarks and evaluation protocols to ensure AI systems are safe, unbiased, and performant in high-stakes, non-commercial environments. Model Optimisation & Selection: Conducting deep-dive research into model performance (both open-weight and closed) to identify the best tools for niche domains, optimising them through context engineering, RAG, and other inference-time techniques.<br><br>What You Will Do<br><br>Architect Agentic Systems: Design and build agent architectures, the harnesses, tool-use protocols, and logic flows that allow LLMs to function as reliable, autonomous agents in complex workflows. Drive Reliability & Safety: Research and implement robust evaluation frameworks. This includes red-teaming for sovereign AI requirements and developing strategies to mitigate hallucinations in regulated data environments. Synthesise Deep Research: Build agents capable of autonomous information synthesis and long-horizon reasoning, enabling users to analyse massive datasets and extract actionable insights. Optimize for Niche Domains: Evaluate and adapt models for specialised use cases, such as LLM reasoning for low-resource languages, complex OCR tasks, or working in GPU-constrained environments Build Evaluation Frontiers: Create new, automated benchmarks that define what success looks like for AI in the public sector, ensuring our systems meet the highest standards of accuracy and sovereignty. Consult as a Technical Authority: Act as a subject matter expert for public sector leaders, advising on the practical limits, safety requirements, and performance trade-offs of emerging AI technologies.<br><br>Ideally, You Have<br><br>Engineering Rigour: Exceptional proficiency in Python and experience building agentic harnesses or AI infrastructure. You write production-ready code that is modular, scalable, and reliable. Applied Research Mindset: A track record of taking theoretical AI concepts and turning them into functional prototypes or products. You know how to read a paper and determine if its methods are actually viable for a production system. Evaluation Expertise: Experience in LLM benchmarking, red-teaming, or building evaluations that go beyond standard academic datasets. Advanced Degree: A Master’s or PhD in Computer Science, Mathematics, or a related field (with a focus on ML) is preferred, but we value demonstrated impact and engineering excellence.<br><br>Nice to Haves<br><br>Agentic Systems Expert: Deep experience in building multi-agent systems, including chain-of-thought optimisation and tool-calling reliability. Sovereign AI Experience: Experience working with highly regulated data environments, on-premise deployments, or sensitive government use cases. Inference Optimisation: Knowledge of how to optimise model performance for environments with limited GPU capacity or specific latency requirements. Zero-to-One Mindset: You are comfortable navigating ambiguity and enjoy defining research directions from scratch to solve a specific product or mission need.<br><br>For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process.<br><br>PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.<br><br>About Us:<br><br>At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U. S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.<br><br>We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. <br><br>We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.<br><br>We comply with the United States Department of Labor's Pay Transparency provision. <br><br>PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Substation Engineer<br>Key Requirements2–8 years of experience in Power Utility, Oil & Gas, or Data Center projects Strong hands-on experience with:SCADA platforms: Schneider Eco Struxure Power Operation (EPO/PSO) PLCs: Schneider Quantum, M340, M580, Siemens S7Substation Automation Systems (SAS) Load Shedding, Load Sharing, and Power Management Systems (PMS) IEC 61850-based Digital Substations System Engineering, FAT, SAT, Site Commissioning, Troubleshooting, and Testing<br>Technical Skills✅ IEC 61850✅ IEC 60870-5-104✅ Modbus✅ OPC✅ PRP / HSR / RSTP / VLAN Architectures✅ Hirschmann or Siemens Industrial Switches✅ IEDs, Protection Relays, RTUs, Energy Meters<br>Preferred Experience OT Cybersecurity (IEC/ISA 62443) Industrial firewalls, IDS, Syslog Servers Windows Domain Administration Oil & Gas (Onshore/Offshore) site execution experience Comfortable working on-site for more than 50% of the year Frequent international travel for commissioning and validation activities