Machine operator Jobs
1021 Jobs Found
Qatar - Doha
We are looking for an AMI Systems Specialist to support Advanced Metering Infrastructure operations, ensuring reliable communication, system availability, and data integrity between field meters and central systems.<br>Responsibilities:Monitor and manage AMI systems including Head End System (HES), Meter Data Management (MDM), and communication networks Identify, troubleshoot, and resolve AMI issues related to connectivity, data flow, and system performance; escalate complex issues to vendors or higher support levels as required Analyze AMI operational data and generate system performance reports; maintain system logs, incident records, and documentation Coordinate with IT, metering, telecom, and field teams to ensure system reliability and support configuration updates and minor enhancements Ensure compliance with ISO, ISMS, BCMS, and cybersecurity policies; adhere to corporate HSE and operational procedures<br>Requirements:Bachelor's Degree in Electrical Engineering, Information Technology, or related discipline Minimum 4 years of experience in AMI system monitoring, MDM/HES operations, or similar utility environments Strong knowledge of smart metering technologies, AMI communication protocols, and network troubleshooting Strong analytical, reporting, and documentation skills; good communication and teamwork abilities Proficient in English (Arabic is preferred)
toto
Qatar - Qatar
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>BORNAN SPORTS TECHNOLOGY is a company specialized in technological innovation applied to sports. We develop technological products for all types of sporting events, large or small, nationally and internationally. Our company is proud to offer a comprehensive range of services, including results, timing and television graphics in real time. Throughout the year, we will be participating in multiple major sporting events across Latin America and Asia, and we are looking for motivated individuals who are excited to travel internationally and operate on site at sports venues. Your role will involve capturing real time sports data for the discipline assigned to you, working directly from the venue while watching the matches live. Before traveling, you will receive in depth training at our office in Lusail, Qatar. Accommodation and transportation are covered by the company. This is a permanent intermittent contract, allowing you to collaborate with us across different sporting events around the world.</p><p>What You Will Do?</p><ul><li>Travel to sports venues in various countries to operate onsite.</li><li>Record and input live, real time sports data with precision and speed.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Qualifications & Skills We Are Looking For:</p><ul><li>Studies related to sports or technology.</li><li>Previous experience in sporting events is an advantage.</li><li>Advanced level of English, both spoken and written, a test will be conducted.</li><li>Additional languages are a plus.</li><li>Genuine passion for sports and new technologies.</li><li>Good knowledge of Microsoft Office.</li><li>Strong teamwork skills, initiative, and the ability to stay focused under pressure.</li></ul><p></p></section>
Halliburton
Qatar - Doha
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>We are looking for the right people people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world s largest providers of products and services to the global energy industry.</p>
<p> </p>
<div> <div> <div> <b>Job Duties</b>
</div> <div>Under direct supervision, assists the Service Supervisor during all phases of providing slickline services. Assists with pre-job product and service equipment preparation (assembly, test, mobilization) and service performance at the well site. Assists with post-job mobilization, clean up and repair of service equipment and products. Repairs/redresses well pressure control equipment in preparation for the next job. Assists with process documentation as prescribed by HMS. Applies all relevant company HSE policies and procedures in all aspects of the job. Given the nature of oil field service work, all employees must be able to execute written and verbal instructions and effectively exchange information with peers and superiors that will increase the likelihood of job success. Every employee must be able to work as an effective team member. The ability to perform basic mathematical calculations involving addition, subtraction, multiplication, and division is also required. Basic reading comprehension and writing skills are required as well. Basic computer skills are preferred. This is a development position with the expectation that all Service Operators will advance to the Service Specialist position. This is a development position with the expectation that all Service Operators will advance to the Service Specialist position. Develops and demonstrates general knowledge of all slick line services and related products. Develops and demonstrates in-depth knowledge of the slick line tools and related products provided in his/her geographic area. Develops and demonstrates WPCE operation and maintenance knowledge and skills. Develops and demonstrates a working knowledge of slickline unit operation (engine, drive train, and hydraulics), minor unit maintenance, and process documentation required during prepare resources, mobilization, perform services and demobilization mainstay processes.</div> </div> <div> <div><br></div></div></div></div></section>
toto
Qatar - Doha
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><div>
<div>
<strong>Main Purpose</strong>
</div>
<div>
<p><span><span><span>The main role of the Technician is to perform preventive and corrective maintenance, to assist his team, and to support the improvement efforts in the department in order to increase the performance. Furthermore, to report any fault on the equipment to the Engineer, TO, STO.</span></span></span></p>
</div>
<div>
<strong>Accountabilities</strong>
</div>
<ul>
<li><span><span><span>Do the PPM assigned correctly and on time.</span></span></span></li>
<li><span><span><span>Perform corrective tasks and complete them on time.</span></span></span></li>
<li><span><span><span>Ensure high quality of their work.</span></span></span></li>
<li><span><span><span>Assist subcontractors to perform the work assigned to them.</span></span></span></li>
<li><span><span><span>Report defects, issues, breakdowns, damages, etc., to the Fault Reporting Center or Engineer, TO, STO.</span></span></span></li>
<li><span><span><span>Follow the duty roster.</span></span></span></li>
<li><span><span><span>Report any spare part requirements and availability.</span></span></span></li>
<li><span><span><span>Follow all instructions as given by the TO,STO, Engineers.</span></span></span></li>
<li><span><span><span>Take care of the tools, test tools and equipment.</span></span></span></li>
<li><span><span><span>Perform other related duties as assigned.</span></span></span></li>
</ul>
<div>
<strong>Operational</strong>
</div>
<ul>
<li><span><span><span>Comply with the Company standards specifically related to personal hygiene, dress code and behaviour.</span></span></span></li>
<li><span><span><span>Comply with health procedures, quality and in general all the relatives of HSEQ.</span></span></span></li>
<li><span><span><span>Follow the rules and regulations from the client and from FMM s HSEQ Management System, which includes attending all training sessions you are invited to and by reading the documents provided to them.</span></span></span></li>
<li><span><span><span>Escalate to their line manager any lack of proper equipment or tools for doing the work.</span></span></span></li>
<li><span><span><span>Report any accident, incident, near miss or health event at work to their line manager.</span></span></span></li>
</ul>
<div>
<strong>Qualification</strong>
</div>
<ul>
<li><span><span><span>ITI Certificate/Diploma or equivalent</span></span></span></li>
<li><span><span><span>Knowledge of regulations (e.g., OSHA, MSDS, NFPA, BS).</span></span></span></li>
<li><span><span><span>Problem solving skills.</span></span></span></li>
<li><span><span><span>Ability to work with tight deadlines and within constraints.</span></span></span></li>
<li><span><span><span>Teamwork.</span></span></span></li>
</ul>
</div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><span><span><span>ITI Certificate/Diploma or equivalent</span></span></span></p>
<p><span><span><span>Knowledge of regulations (e.g., OSHA, MSDS, NFPA, BS).</span></span></span></p>
<p><span><span><span>Problem solving skills.</span></span></span></p>
<p><span><span><span>Ability to work with tight deadlines and within constraints.</span></span></span></p>
<p><span><span><span>Teamwork.</span></span></span></p><p></p></section>
toto
Qatar - Doha
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Provide exceptional and personalized telephone service, ensuring every interaction reflects the elegance and warmth of Raffles Doha.</p>
<p>Handle all incoming and outgoing calls efficiently, courteously, and in accordance with luxury hospitality standards.</p>
<p>Serve as the communication hub of the hotel by accurately directing calls and coordinating guest requests across departments.</p>
<p>Manage wake-up calls, guest messages, voicemail, and emergency communication procedures with accuracy and confidentiality.</p>
<p>Anticipate guest needs and deliver prompt assistance and follow-up to ensure a seamless guest experience.</p>
<p>Maintain comprehensive knowledge of hotel facilities, services, promotions, dining venues, and local attractions.</p>
<p>Support VIP guests and special requests with discretion, professionalism, and attention to detail.</p>
<p>Coordinate effectively with Front Office, Concierge, Housekeeping, Engineering, and other departments to ensure timely service delivery.</p>
<p>Operate telecommunications systems efficiently and maintain accurate records and communication logs.</p>
<p>Uphold the highest standards of grooming, communication etiquette, and professionalism in line with the Raffles brand culture.</p>
<p>Respond calmly and professionally during high-pressure situations while adhering to hotel safety and emergency procedures.</p>
<p>Contribute to a collaborative team environment focused on delivering memorable luxury experiences.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>What will you bring to this role?</strong></p>
<ul>
<li>Previous experience in a luxury hotel, hospitality, or customer service environment preferred.</li>
<li>Excellent verbal communication skills with a polished and professional telephone etiquette.</li>
<li>Strong command of English; additional language skills are an advantage.</li>
<li>Exceptional interpersonal and guest engagement skills with a warm and service-oriented personality.</li>
<li>Ability to remain composed, discreet, and professional in a fast-paced luxury hospitality environment.</li>
<li>Strong organizational skills with the ability to multitask and prioritize effectively.</li>
<li>Proficiency in hotel communication systems, MS Office, and Opera or similar property management systems preferred.</li>
<li>High attention to detail and commitment to accuracy in handling guest information and requests.</li>
<li>Ability to work collaboratively with cross-functional teams to deliver seamless guest experiences.</li>
<li>Flexible to work rotating shifts, weekends, and public holidays as required by hotel operations.</li>
<li>Embrace the Raffles brand promise and luxury in your role and in all your interactions.</li>
<li>Foster an inclusive environment where every individual feels valued and respected</li>
<li>Create an environment where colleagues are empowered, supported and recognized</li>
</ul><p></p></section>
Qatar - Doha
Love football (soccer) and have an entrepreneurial mindset?<br><br>Stranger Soccer is expanding across key cities worldwide and is seeking a License Owner to launch and grow the Stranger Soccer operation in Doha.<br><br>This is not a salaried management role—it's an opportunity for an entrepreneurial individual to build and operate something of their own while making football more accessible in their local community. We're looking for someone ambitious, community-driven, and passionate about the game.<br><br>Does This Sound Like You?<br><br>Visit www.strangersoccer.com and explore the "Bring Stranger Soccer to Your City" section to learn more.<br><br>If this opportunity aligns with your goals, complete the interest form to start the conversation. We also recommend downloading the Stranger Soccer app to experience the platform firsthand.<br><br>Your Responsibilities<br><br>Launch and grow the Stranger Soccer brand in Doha Recruit, train, and manage a small local team (2-3 people), supported by Official Hosts Secure suitable football venues and regular playing opportunities Drive marketing and customer growth through digital and local initiatives Oversee game operations while delivering an outstanding player experience Work closely with Stranger Soccer HQ, supported by established operations and technology teams<br><br>What We're Looking For<br><br>Passion for football and strong connections within the local football community Experience in management, operations, sales, or customer-facing roles An entrepreneurial mindset and ability to work independently A strong sense of ownership and ambition to grow Stranger Soccer locally Motivation to deliver results, with rewards tied to performance and growth<br><br>About Stranger Soccer<br><br>Football is loved by billions, yet many still struggle to play regularly. Stranger Soccer makes playing football as easy and convenient as going for a jog or visiting the gym.<br><br>Our app lets players discover nearby games, book a spot, and simply turn up to play.<br><br>Founded in Singapore, Stranger Soccer now operates across 10+ cities and has delivered over 100,000 games worldwide. We're looking for passionate License Owners who want to bring this experience to their communities—whether you call it Fussball, Fútbol, Calcio, or football.<br><br>Our Mission<br><br>To make playing football as easy as going for a jog.<br><br>Our Vision<br><br>A world where playing football is as popular and accessible as watching football.<br><br>Ready to be part of the journey?<br><br>We'd love to hear from you.
Qatar - Doha
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>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.
Qatar - Doha
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.
Qatar - Doha
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.
Qatar - Doha
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 Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. 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 engineering team plays at Agoda is critical as business users, product managers, 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 ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.<br><br>Why Agoda Engineering Team (ML role)?<br><br>Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API’s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.<br><br>In this Role, you will get to:<br><br>Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines. Be comfortable navigating the following technology stack: Python3, Scala Spark, scripting (Bash/Python), Hadoop, SQL, S3 etc. Should be able to understand internals of ML models such as Light GBM, Random Forest, CNN, Regression models, etc Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality. Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks. We believe in end-to-end ownership; this role will involve taking and building systems that enable us to deliver ML models to production at a scale.<br><br>What You’ll need to Succeed:<br><br>Bachelor’s degree in computer science /information systems/engineering/related field 6+ years of experience in software engineering with a minimum of 4+ years in MLExpert in SQL, Python3, and JVM based programming language – ie, Java or Scala Expert in software design/design patterns, functional programming and object-oriented programming. Analytical problem-solving capabilities & experience. A strong engineering driven mindset will be required to succeed in this role.<br><br>It’s great if you have:<br><br>Good understanding of Hadoop ecosystems and Big Data architecture and techologies Experience working with Open-source products Experience with Scala development Working in an agile environment using test driven methodologies Systems administration skills in Linux<br><br>Benefits<br><br>Hybrid Working Model WFH Set Up Allowance30 Days of Remote Working from anywhere globally every year Employee discount for accommodation globally Global team of 90+ nationalities40+ offices and 25+ countries Annual CSR / Volunteer Time off Benevity Subscription for employee donations Volunteering opportunities globally Free Headspace subscription Free Odilo & Udemy subscriptions Access to Employee Assistance Program (third party for personal and workplace support) Enhanced Parental Leave Life, TPD & Accident Insurance<br><br>#telaviv #jerusalem #IT #ENG #4 #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 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #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 #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5<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.
Qatar - Doha
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 Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. 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 engineering team plays at Agoda is critical as business users, product managers, 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 ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.<br><br>Why Agoda Engineering Team (ML role)?<br><br>Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API’s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.<br><br>In this Role, you will get to:<br><br>Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines. Be comfortable navigating the following technology stack: Python3, Scala Spark, scripting (Bash/Python), Hadoop, SQL, S3 etc. Should be able to understand internals of ML models such as Light GBM, Random Forest, CNN, Regression models, etc Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality. Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks. We believe in end-to-end ownership; this role will involve taking and building systems that enable us to deliver ML models to production at a scale.<br><br>What You’ll need to Succeed:<br><br>Bachelor’s degree in computer science /information systems/engineering/related field 6+ years of experience in software engineering with a minimum of 4+ years in MLExpert in SQL, Python3, and JVM based programming language – ie, Java or Scala Expert in software design/design patterns, functional programming and object-oriented programming. Analytical problem-solving capabilities & experience. A strong engineering driven mindset will be required to succeed in this role.<br><br>It’s great if you have:<br><br>Good understanding of Hadoop ecosystems and Big Data architecture and techologies Experience working with Open-source products Experience with Scala development Working in an agile environment using test driven methodologies Systems administration skills in Linux<br><br>Benefits<br><br>Hybrid Working Model WFH Set Up Allowance30 Days of Remote Working from anywhere globally every year Employee discount for accommodation globally Global team of 90+ nationalities40+ offices and 25+ countries Annual CSR / Volunteer Time off Benevity Subscription for employee donations Volunteering opportunities globally Free Headspace subscription Free Odilo & Udemy subscriptions Access to Employee Assistance Program (third party for personal and workplace support) Enhanced Parental Leave Life, TPD & Accident Insurance<br><br>#telaviv #jerusalem #IT #ENG #4 #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 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #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 #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5<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.
Qatar - Doha
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 Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. 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 engineering team plays at Agoda is critical as business users, product managers, 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 ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.<br><br>Why Agoda Engineering Team (ML role)?<br><br>Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API’s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.<br><br>In this Role, you will get to:<br><br>Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines. Be comfortable navigating the following technology stack: Python3, Scala Spark, scripting (Bash/Python), Hadoop, SQL, S3 etc. Should be able to understand internals of ML models such as Light GBM, Random Forest, CNN, Regression models, etc Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality. Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks. We believe in end-to-end ownership; this role will involve taking and building systems that enable us to deliver ML models to production at a scale.<br><br>What You’ll need to Succeed:<br><br>Bachelor’s degree in computer science /information systems/engineering/related field 6+ years of experience in software engineering with a minimum of 4+ years in MLExpert in SQL, Python3, and JVM based programming language – ie, Java or Scala Expert in software design/design patterns, functional programming and object-oriented programming. Analytical problem-solving capabilities & experience. A strong engineering driven mindset will be required to succeed in this role.<br><br>It’s great if you have:<br><br>Good understanding of Hadoop ecosystems and Big Data architecture and techologies Experience working with Open-source products Experience with Scala development Working in an agile environment using test driven methodologies Systems administration skills in Linux<br><br>Benefits<br><br>Hybrid Working Model WFH Set Up Allowance30 Days of Remote Working from anywhere globally every year Employee discount for accommodation globally Global team of 90+ nationalities40+ offices and 25+ countries Annual CSR / Volunteer Time off Benevity Subscription for employee donations Volunteering opportunities globally Free Headspace subscription Free Odilo & Udemy subscriptions Access to Employee Assistance Program (third party for personal and workplace support) Enhanced Parental Leave Life, TPD & Accident Insurance<br><br>#telaviv #jerusalem #IT #ENG #4 #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 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #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 #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5<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.
Confidential
Qatar - Qatar
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>A grinder operates machinery to grind metal, plastic, or other materials to precise specifications. This role is crucial in manufacturing and fabrication processes.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>10/12th Passed</p><ul><li>Set up and operate grinding machines.</li><li>Read and interpret blueprints and technical drawings.</li><li>Monitor machine operations to ensure quality standards.</li><li>Perform routine maintenance and troubleshooting on equipment.</li><li>Measure and inspect finished products for accuracy.</li><li>Maintain a clean and safe work environment.</li></ul><p></p></section>
Qatar Energy
Qatar
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<strong>Primary Purpose of the Job</strong><br><p>Operate and adjust production facilities as directed by General Operator/ Senior Operator within designated limits to ensure maximum recovery/injection on assigned shift.</p><br> <br><strong>Required Experience and Skills</strong><br><p>Minimum 4 years' experience in operating process plant in the oil or petrochemical industry.</p><br> <br><strong>Educational Qualifications</strong><br><p>Completion of Secondary (12 years) education followed by 3 years formal technical training in process plant operations plus relevant short courses in safety, plant operations or equivalent. For nationals TAFE or equivalent.</p><br> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Minimum qualification: <b>10th Pass / High School</b><br><b>2–3 years of experience</b> as Technical Helper in <b>Rolling Mill / Steel Industry / Heavy Industrial environment</b><br>Must be able to <b>read, write, and speak English (Mandatory)</b><br>Physically fit and able to work in <b>high-temperature industrial plant conditions</b><br>Basic understanding of <b>steel production and rolling mill operations</b><br>Knowledge of <b>safety procedures and PPE usage in industrial sites</b><br>Valid Qatar ID preferred<br>Immediate availability preferred<br>Interested candidates can share their cvs to 31313903/ bency@madre-me.com<br></span><br><span>RequirementsAssist operators and technicians in <b>rolling mill operations</b><br>Support in <b>handling raw materials, billets, rods, and steel products</b><br>Perform <b>material movement, loading, unloading, and stacking activities</b><br>Assist in <b>machine setup, basic adjustment, and operational support</b><br>Carry out <b>housekeeping and cleaning of work area and machinery</b><br>Support in <b>gas cutting, slinging, hammering, and material preparation tasks</b><br>Follow all <b>safety rules, PPE requirements, and HSE standards</b><br>Report any <b>equipment faults, hazards, or abnormalities to supervisors</b><br>Assist in <b>maintenance support activities during shutdown or breakdowns</b><br>Coordinate with team members for <b>smooth production flow in rolling operations</b><br></span><br> </div>
toto
Qatar
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span></span><p><span><span><span>We are urgently looking for experienced Machinists (Lathe) for a reputed Oil & Gas / Petrochemical company in Qatar. The ideal candidate should have strong hands-on experience in conventional lathe machine operations, machining industrial components, and working in heavy industrial environments. </span></span></span><br></p><br>
<span><span><span>Candidates must be capable of reading technical drawings, operating precision measuring instruments, and maintaining high-quality machining standards as per industry requirements.</span></span></span>
<br>
<span><span><span>Key Responsibilities:</span></span></span>
<br>
<span><span><span>• Operate conventional lathe machines for machining and repairing industrial components.</span></span></span>
<br>
<span><span><span>• Perform turning, threading, boring, drilling, and facing operations as per technical drawings and specifications.</span></span></span>
<br>
<span><span><span>• Use precision measuring instruments such as vernier calipers, micrometers, gauges, and measuring tools for accurate machining.</span></span></span>
<br>
<span><span><span>• Inspect finished products to ensure compliance with quality and dimensional standards.</span></span></span>
<br>
<span><span><span>• Carry out routine maintenance and cleaning of machines and work area.</span></span></span>
<br>
<span><span><span>• Follow safety procedures and company regulations within workshop and plant environments.</span></span></span>
<br>
<span><span><span>• Coordinate with supervisors and maintenance teams to complete assigned jobs within deadlines.</span></span></span>
<br>
<br><span>Requirements
</span><ul>
<li><span><span><span><span>Minimum 5 years of experience as a Lathe Machine Operator / Machinist in Oil & Gas, Petrochemical, Refinery, Power Plant, or heavy industrial sectors.</span></span></span></span><br></li>
<li><span><span><span>Strong knowledge of conventional lathe machine operations and machining techniques.</span></span></span><br></li>
<li><span><span><span>Ability to read engineering drawings and technical specifications.</span></span></span></li>
<li><span><span><span>Experience in machining industrial equipment components is preferred.</span></span></span><br></li>
<li><span><span><span>Good communication and teamwork skills.</span></span></span><br></li>
<li><span><span><span>Physically fit and capable of working in industrial environments.</span></span></span><br></li>
</ul>
<br>
</div>
Halliburton
Qatar - Doha
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Under broad direction, supervises the day to day activities of Slickline service personnel and shop personnel to meet customer requirements. Employee may be involved in the hiring of crews and disciplinary action of those crews. Job primarily focuses on the personnel development of crews, through mentoring and on the job training, as well as ensuring service delivery excellence and customer satisfaction through process adherence. Mentors and assesses competence of Slickline Service Supervisors, Service Operators and Operator Assistants. The Service leader provides guidance on specific job designs based on downhole conditions as part of the Design of Service process. The Service Leader will need to Interact with the customer&aposs representatives at the well site to seek feedback about the crew and troubleshoot any execution issues that may occur. The service leader ensures that all activities are performed in a manner that complies with HMS processes and regulatory requirements and invokes the Management of Change process if there is a deviation required from the process. In addition based on location, the Slickline service leader may perform other duties that include but not limited to gathering job performance data, customer feedback and job packet processing.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>A high school diploma is required with 3 years of experience as a Service Supervisor.</p><p></p></section>
toto
Qatar - Qatar
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><b>Job De</b>scription</p><p>We are urgently looking for experienced Machinists (Lathe) for a reputed Oil & Gas / Petrochemical company in Qatar. The ideal candidate should have strong hands-on experience in conventional lathe machine operations, machining industrial components, and working in heavy industrial environments.</p><p><br></p><p>Candidates must be capable of reading technical drawings, operating precision measuring instruments, and maintaining high-quality machining standards as per industry requirements.</p><p><br></p><p><br></p><p><b>Key Responsibilities:</b></p><p>• Operate conventional lathe machines for machining and repairing industrial components.</p><p>• Perform turning, threading, boring, drilling, and facing operations as per technical drawings and specifications.</p><p>• Use precision measuring instruments such as vernier calipers, micrometers, gauges, and measuring tools for accurate machining.</p><p>• Inspect finished products to ensure compliance with quality and dimensional standards.</p><p>• Carry out routine maintenance and cleaning of machines and work area.</p><p>• Follow safety procedures and company regulations within workshop and plant environments.</p><p>• Coordinate with supervisors and maintenance teams to complete assigned jobs within deadlines.</p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><b>Requirements</b></p><p>Minimum 5 years of experience as a Lathe Machine Operator / Machinist in Oil & Gas, Petrochemical, Refinery, Power Plant, or heavy industrial sectors.</p><p>Strong knowledge of conventional lathe machine operations and machining techniques.</p><p>Ability to read engineering drawings and technical specifications.</p><p>Experience in machining industrial equipment components is preferred.</p><p>Good communication and teamwork skills.</p><p>Physically fit and capable of working in industrial environments.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><br></p><ul> </ul><p></p></section>
Qatar
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>The Equipment Readiness Technician is responsible for ensuring equipment is delivered on time and according to operational demands. The Equipment Readiness Technician improves the reliability of Division equipment assets and increases the utilization and efficiency of assets. This person reduces the cost of service delivery (CoSD). </p><ul><li>Assist the Equipment Readiness Lead and Engineer with equipment preparation for jobs.</li><li>Execute work orders (WOs) as assigned, generally involving noninvasive maintenance related to final preparation of surface and downhole equipment and ready boxes.</li><li>Verify the status of equipment certifications and calibrations.</li><li>Perform or assist in final function testing such as calibration, inspection, certification or verification, which may include Wireline Operational Combination Check, pressure test, measurement calibration, metrological inspection.</li><li>Execute WOs as assigned through the Computerized Maintenance Management System for the Division, ensuring compliance with standard work and WO data accuracy and completeness.</li><li>Help prepare and organize required documentation related to such activities as calibrations, function tests, material certifications, inspections and, if necessary, third-party quality control and inspections.</li><li>Prepare equipment and associated critical spares for shipment and staging to a pre-determined location or loading zone.</li><li>Load equipment onto trucks in the absence of base or operational planning support, or the Equipment Readiness Operator or Technician.</li><li>Adopt a continuous improvement work ethic and participate in initiatives to improve efficiency and productivity in equipment readiness, CoSD, and asset utilization through maintenance processes.</li><li>Comply with Division Technology Lifecycle Management standards and the Competency Management System.</li></ul><ul><li><span>2-5 years of experience in the workshop</span></li><li>Diploma in Mechanical Engineering or related discipline</li><li>Strong communication, planning , and problem-solving skills</li></ul><br><br><p>SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, national origin, age, disability, or other characteristics protected by law.</p><br> </div>
Schneider Electric - UAE
Qatar - Qatar
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Your Role Magic happens when you bring great people together! Architecture & Solution Design Define end-to-end UOC solution architectures on AVEVA System Platform / Operations Management Interface (OMI): object model design, galaxy topology, redundancy, and multi-site federation. Lead the end-to-end design and architecture of AVEVA UOC solutions, including System Platform configuration, Galaxy design, and integration of plug-in applications, analytics, GIS mapping, CCTV, ERP, and engineering data (P&IDs, historians, SCADA). Translate business and operational requirements into a scalable UOC architecture, selecting and adapting industry solution templates and content-library components for the relevant vertical (oil & gas, power, mining, water/wastewater, data centers, smart cities, renewables). Design the data integration layer across OT and IT sources: PI System and other historians, DCS/SCADA (via OPC UA/DA, MQTT), alarm systems, CMMS, LIMS, and enterprise applications, respecting IEC 62443 zone and conduit models. Lead the information design of control room and collaboration environments: KPI hierarchies, role-based displays, and escalation logic grounded in high-performance HMI principles (ISA-101) and abnormal situation management practice. Architect deployments for constrained environments: air-gapped and firewalled national oil company sites, DMZ-hosted architectures, and offline installation and patching regimes. Delivery Leadership Lead UOC delivery teams through requirements workshops, design, configuration, FAT/SAT, commissioning, and operational handover. Plan and control the technical scope: estimates, work breakdown, design reviews, and quality gates across the project lifecycle. Run operator and stakeholder engagement: display design reviews with panel operators, shift supervisors, and integrated operations leadership to ensure adoption, not just installation. Coordinate with client OT/IT, cybersecurity, and infrastructure teams on servers, virtualization, networking, and domain integration. Practice Development & Pre-Sales Act as the practice's UOC technical authority in pre-sales: demonstrations, proof-of-concept builds, solution write-ups, and RFQ/RFP technical responses. Codify reusable practice IP: reference architectures, display style guides, object template libraries, integration adapters, and delivery runbooks under the practice document register. Work with the practice's industrial AI engineers to surface analytics and AI outputs (soft sensors, anomaly detection, alarm analytics, AI-generated shift insights) into UOC displays as actionable operator guidance. Mentor application engineers toward independent System Platform/OMI delivery capability. Quality, Security & Governance Ensure compliance with client cybersecurity requirements and IEC 62443 across all interfaces between the UOC environment and OT systems. Maintain configuration management, backup/recovery strategy, and as-built documentation for all UOC environments. Define operational KPIs, alarms, and role-based visualizations that unify data across multiple sites, fleets, or departments into a single command-and-control view.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><b>About You</b></p><p>Required</p><p>Bachelor s degree in engineering (Electrical, Instrumentation, Chemical, or Computer Science).</p><p>10+ years in industrial automation or operations software delivery, with 5+ years hands-on AVEVA System Platform (Wonderware) experience including OMI, and at least two delivered UOC or integrated operations center programme.</p><p>Strong integration track record: OPC UA/DA, MQTT/Sparkplug, historian interfaces (PI System, AVEVA Historian), and REST/SQL-based enterprise integration.</p><p>Solid understanding of control room operations, alarm management (ISA-18.2/IEC 62682), and high-performance HMI design (ISA-101).</p><p>Working knowledge of OT infrastructure: Windows Server, virtualization (VMware/Hyper-V), Active Directory, thin clients, and network segregation in IEC 62443-governed environments.</p><p>Demonstrated team leadership on multi-engineer delivery projects, including estimation and design review responsibility.</p><p>Strong client-facing skills, with experience running workshops, presenting technical solutions, and managing stakeholder expectations.</p><p>Preferred</p><p>GCC delivery experience with national oil companies and familiarity with their approval, HSE, and site processes.</p><p>Experience with AVEVA PI Vision, AVEVA Reports, and mobile/remote operations use cases.</p><p>Exposure to AVEVA AIM/digital twin integration and 3D/engineering data surfacing in operations displays.</p><p>Scripting/development capability (Python, .NET/C#, JavaScript) for custom OMI apps, adapters, and automation of configuration tasks.</p><p>Familiarity with AI/ML in operations: predictive analytics, alarm rationalization analytics, and LLM-assisted operator support concepts.</p><p>Familiarity with AVEVA CONNECT and the AVEVA Flex subscription/licensing model.</p><p>AVEVA certifications in System Platform/OMI.</p><p>Arabic language skills are an advantage.</p><p></p></section>