Engineering Jobs in Qatar

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 Process Engineer, you will respond/report to the Process Lead/Engineering Manager and be part of our company’s various projects, within Engineering Fixed Facilities Department.<br><br>How can you support us? Here are below your responsibilities:<br><br>Mission<br><br>Elaborate, define, size and validate - within a process team - the various items, units and technical deliverables to be implemented in the Project. Work under the supervision of the Process Lead.<br><br>Tasks<br><br>Develop Heat and Material Balances using simulation software Develop Process Flow diagrams to show unit operations necessary to convert feedstocks into on-specification products, in the most economical manner Define and size Equipment and Instrumentation to be implemented and issue relevant Process Data sheets Elaborate Piping and Instrumentation Diagrams (P and IDs) Perform hydraulic and thermal calculations on piping systems, in steady state and transient operation Define the utilities requirements and design the associated systems Define quantities and characteristics of effluents to be disposed to the environment Ensure the preparation of Operating Manual and Test Run procedures Implement contractual design philosophy Check technical quality of calculations, SW simulations and deliverables produced by junior engineers Take part of the multidisciplinary project reviews such as P and IDs, HAZOP, 3D Model<br><br>What are we looking for?<br><br>Education<br><br>Engineering Degree, preferably in Chemical Engineering or related discipline<br><br>Experience<br><br>Minimum of 8 years’ experience as Process Engineer within EPC/EPCI, Oil & Gas, Energy, or Industrial projects Experience working within multidisciplinary engineering teams is an advantage<br><br>Languages<br><br>Proficient in English (written and spoken) Ability to work effectively within multinational project teams<br><br>Technical Skills / Knowledge<br><br>Knowledge of process simulation tools Familiarity with Process Flow Diagrams and P&IDsExperience with hydraulic and thermal calculations Understanding of utilities systems, environmental discharges, and operating procedures Knowledge of HAZOP and multidisciplinary engineering reviews<br><br>IT Skills<br><br>Process simulation software Microsoft Office Suite (Excel, Word, Power Point, Outlook)<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 (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)

Note: This is a long-term, stable part-time job that supports remote work. Please read the recruitment requirements carefully and fill out the application form accurately. Thank you.<br>WHAT YOU NEED to Have Doctorate PhD or equivalent advanced degree in the subject area Has published at least 5 papers in SCI / SSCI journals within/during the past Three years Thorough understanding of research methodologies and ethical principles within the relevant discipline Excellent analytical and critical thinking skills Strong written communication skills, with the ability to provide clear, concise, and constructive feedback Ability to adhere to deadlines and manage time effectively Commitment to maintaining confidentiality and objectivity Prior experience as a peer reviewer for academic journals is highly desirable Familiarity with online manuscript submission and review systems<br>WHAT YOU WILL DOAssess Novelty: Evaluate whether the manuscript is original and adds new knowledge or insights to the field of study. Evaluate Study Design and Methodology: Check whether the study design and methods are appropriate, comprehensive, and clearly described to ensure reproducibility. Literature Review: Ensure the manuscript thoroughly incorporates and cites relevant, up-to-date research in the field. Analyse Results and Conclusions: Determine whether results are presented clearly and appropriately, and whether conclusions are supported by the data and significant to the field. Provide Constructive Feedback: Suggest improvements and highlight any flaws, omissions, or ethical concerns. Recommend Publication: Based on your evaluation, the journal editor will decide whether the manuscript should be accepted, revised, or rejected.

Note: This is a long-term, stable part-time job that supports remote work. Please read the recruitment requirements carefully and fill out the application form accurately. Thank you.<br>WHAT YOU NEED to Have Doctorate PhD or equivalent advanced degree in the subject area Has published at least 5 papers in SCI / SSCI journals within/during the past Three years Thorough understanding of research methodologies and ethical principles within the relevant discipline Excellent analytical and critical thinking skills Strong written communication skills, with the ability to provide clear, concise, and constructive feedback Ability to adhere to deadlines and manage time effectively Commitment to maintaining confidentiality and objectivity Prior experience as a peer reviewer for academic journals is highly desirable Familiarity with online manuscript submission and review systems<br>WHAT YOU WILL DOAssess Novelty: Evaluate whether the manuscript is original and adds new knowledge or insights to the field of study. Evaluate Study Design and Methodology: Check whether the study design and methods are appropriate, comprehensive, and clearly described to ensure reproducibility. Literature Review: Ensure the manuscript thoroughly incorporates and cites relevant, up-to-date research in the field. Analyse Results and Conclusions: Determine whether results are presented clearly and appropriately, and whether conclusions are supported by the data and significant to the field. Provide Constructive Feedback: Suggest improvements and highlight any flaws, omissions, or ethical concerns. Recommend Publication: Based on your evaluation, the journal editor will decide whether the manuscript should be accepted, revised, or rejected.

Job Description<br><br>The Project Engineer will assist the Package Lead and Project Management team in administering the project management and construction supervision functions across the day-to-day activities on a large project. The Project Engineer will participate in review and approval of all submittals and shop drawings by the contractors and will be involved in quality control and quality assurance by undertaking daily site inspections and witnessing testing & commissioning.<br><br>Under the direction and guidance of the Package Lead and Project Management team, performs daily site inspection tasks to confirm the compliance and quality of the construction works by contractors. Inspects various facets of work on the construction site and performs continuous surveillance of assigned construction activities to ensure compliance with all applicable codes, standards, specifications and contract drawings/ shop drawings. Document non-conformances and may participate in determining appropriate resolution.<br><br>Key roles and responsibilities:<br><br>Oversee and inspect all construction work and ensure that installation activities comply with contractual obligations and quality control standards. Follow-up with the contractors’ construction and quality assurance & control team. Ensures that the project quality control procedures are used for the construction work and monitors it for improvement. Performs works inspection requests and material inspection requests on a daily basis. Support the Lead Engineer in reviewing construction submittals, shop drawings, method statements, as-built drawings, o & m manuals, spare parts etc., from project construction commencement to close-out including defects liability period. Collaborates with project and construction management team to eliminate any hazards associated with the work that may adversely affect the environment or the safety or health of project team/ stake holders. Reviews and interprets discipline design drawings and specifications to ensure current revision level and correct technical execution of the work. Provides resolution for technical engineering problems within the assigned discipline(s); coordinates application of solutions to ensure progress on site. Witnessing the quality control testing as necessary. Witnessing the Testing & Commissioning tasks. Monitors the physical progress percentage and report to the Package Lead/ Planning Lead/ Quantity Surveyor. Organizes the accumulation of assigned discipline data for the final project turnover and report. Initiates and maintains records, back charge procedures, progress reports, etc., as required. Provides comment and status on the work inspection requests, organize to release to the contractors in timely manner. Comply with Internal KPIs for timely site inspections and releasing of inspection comments. Performs other responsibilities associated with this position as may be appropriate. <br><br>To be successful in this role, you should have:<br><br>Degree in relevant Engineering disciplines (minimum four years course or longer) – Civil, Structural, Architectural, Mechanical, Electrical, Electronics (for ELV systems). Minimum of 10 to 12 years postgraduate years of work experience and a minimum of 5 years of work experience in GCC countries. MME registration in Qatar is preferred.<br><br>Interested? Apply now.

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 Process Engineer, you will respond/report to the Process Lead/Engineering Manager and be part of our company’s various projects, within Engineering Fixed Facilities Department.<br><br>How can you support us? Here are below your responsibilities:<br><br>Mission<br><br>Elaborate, define, size and validate - within a process team - the various items, units and technical deliverables to be implemented in the Project. Work under the supervision of the Process Lead.<br><br>Tasks<br><br>Develop Heat and Material Balances using simulation software Develop Process Flow diagrams to show unit operations necessary to convert feedstocks into on-specification products, in the most economical manner Define and size Equipment and Instrumentation to be implemented and issue relevant Process Data sheets Elaborate Piping and Instrumentation Diagrams (P and IDs) Perform hydraulic and thermal calculations on piping systems, in steady state and transient operation Define the utilities requirements and design the associated systems Define quantities and characteristics of effluents to be disposed to the environment Ensure the preparation of Operating Manual and Test Run procedures Implement contractual design philosophy Check technical quality of calculations, SW simulations and deliverables produced by junior engineers Take part of the multidisciplinary project reviews such as P and IDs, HAZOP, 3D Model<br><br>What are we looking for?<br><br>Education<br><br>Engineering Degree, preferably in Chemical Engineering or related discipline<br><br>Experience<br><br>Minimum of 8 years’ experience as Process Engineer within EPC/EPCI, Oil & Gas, Energy, or Industrial projects Experience working within multidisciplinary engineering teams is an advantage<br><br>Languages<br><br>Proficient in English (written and spoken) Ability to work effectively within multinational project teams<br><br>Technical Skills / Knowledge<br><br>Knowledge of process simulation tools Familiarity with Process Flow Diagrams and P&IDsExperience with hydraulic and thermal calculations Understanding of utilities systems, environmental discharges, and operating procedures Knowledge of HAZOP and multidisciplinary engineering reviews<br><br>IT Skills<br><br>Process simulation software Microsoft Office Suite (Excel, Word, Power Point, Outlook)<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 (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)

Note: This is a long-term, stable part-time job that supports remote work. Please read the recruitment requirements carefully and fill out the application form accurately. Thank you.<br>WHAT YOU NEED to Have Doctorate PhD or equivalent advanced degree in the subject area Has published at least 5 papers in SCI / SSCI journals within/during the past Three years Thorough understanding of research methodologies and ethical principles within the relevant discipline Excellent analytical and critical thinking skills Strong written communication skills, with the ability to provide clear, concise, and constructive feedback Ability to adhere to deadlines and manage time effectively Commitment to maintaining confidentiality and objectivity Prior experience as a peer reviewer for academic journals is highly desirable Familiarity with online manuscript submission and review systems<br>WHAT YOU WILL DOAssess Novelty: Evaluate whether the manuscript is original and adds new knowledge or insights to the field of study. Evaluate Study Design and Methodology: Check whether the study design and methods are appropriate, comprehensive, and clearly described to ensure reproducibility. Literature Review: Ensure the manuscript thoroughly incorporates and cites relevant, up-to-date research in the field. Analyse Results and Conclusions: Determine whether results are presented clearly and appropriately, and whether conclusions are supported by the data and significant to the field. Provide Constructive Feedback: Suggest improvements and highlight any flaws, omissions, or ethical concerns. Recommend Publication: Based on your evaluation, the journal editor will decide whether the manuscript should be accepted, revised, or rejected.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are recruiting&nbsp;for a <strong>Cost Engineer </strong>with the following details :</p><br> <p><strong>Location: Doha, Qatar </strong></p><br> <p><strong>Duration : Jul 2025 – Dec 2027</strong></p><br> <p><strong>Work Scheme : Residential, Single status</strong></p><br> <p>Job Requirements&nbsp;</p><br> <ul> <li>With a minimum of 6 years of experience in similar activities for Oil and Gas projects.</li> <li>The ideal candidate should have experience using SAP, Power BI, and MS Office.</li> <li>A degree in Economics, Finance, Business Administration, Engineering, or an equivalent field is required.</li> </ul> <br> </div>

Role Description As a Survey Engineer, you will perform field and office-based survey work to support infrastructure, land development, and construction projects. This full-time, on-site role is based in Doha, Qatar. Day-to-day responsibilities include planning and conducting land and engineering surveys, setting out works, collecting accurate field data using total stations, GPS, and other surveying instruments, and ensuring proper data recording and documentation. You will collaborate with project managers, civil engineers, and CAD technicians to translate survey data into detailed drawings, reports, and digital models. <br>Qualifications Strong technical proficiency in Land Surveying and Civil Engineering for infrastructure and construction projects. Hands-on experience with Computer-Aided Design (CAD) & Civil 3D tools for preparing and reviewing survey drawings and plans. Proven Supervisory Skills to lead and coordinate survey crews and manage on-site activities. Experience in Inspection of survey work, site conditions, and as-built verification to ensure accuracy and compliance. Bachelor’s degree in Surveying Engineering, Civil Engineering, Geomatics, or a related field. Familiarity with GPS, total stations, leveling instruments, and relevant surveying software. Strong attention to detail, numerical accuracy, and problem-solving abilities. Effective communication skills in English & Arabic; ability to work collaboratively in multicultural teams. Prior experience in the Qatar and knowledge of local standards and regulations is an advantage.<br>Company Description Survey Technologies (STS), established in May 2015 in Qatar, is an MM Class A Surveying Engineering company providing advanced geomatics and spatial data solutions across the Gulf region. The company delivers specialized services in land surveying and mapping, mobile mapping with GPS integration, and 3D laser scanning and UAV mapping. STS also supports infrastructure development through road surveying, underground utility detection, and urban and zoning surveys. Additional capabilities include GIS design and implementation, as well as environmental and ecological studies. Driven by technology and precision, STS contributes to smart decision-making for Qatar’s infrastructure growth and sustainability goals.

Role Description As a Survey Engineer, you will perform field and office-based survey work to support infrastructure, land development, and construction projects. This full-time, on-site role is based in Doha, Qatar. Day-to-day responsibilities include planning and conducting land and engineering surveys, setting out works, collecting accurate field data using total stations, GPS, and other surveying instruments, and ensuring proper data recording and documentation. You will collaborate with project managers, civil engineers, and CAD technicians to translate survey data into detailed drawings, reports, and digital models. <br>Qualifications Strong technical proficiency in Land Surveying and Civil Engineering for infrastructure and construction projects. Hands-on experience with Computer-Aided Design (CAD) & Civil 3D tools for preparing and reviewing survey drawings and plans. Proven Supervisory Skills to lead and coordinate survey crews and manage on-site activities. Experience in Inspection of survey work, site conditions, and as-built verification to ensure accuracy and compliance. Bachelor’s degree in Surveying Engineering, Civil Engineering, Geomatics, or a related field. Familiarity with GPS, total stations, leveling instruments, and relevant surveying software. Strong attention to detail, numerical accuracy, and problem-solving abilities. Effective communication skills in English & Arabic; ability to work collaboratively in multicultural teams. Prior experience in the Qatar and knowledge of local standards and regulations is an advantage.<br>Company Description Survey Technologies (STS), established in May 2015 in Qatar, is an MM Class A Surveying Engineering company providing advanced geomatics and spatial data solutions across the Gulf region. The company delivers specialized services in land surveying and mapping, mobile mapping with GPS integration, and 3D laser scanning and UAV mapping. STS also supports infrastructure development through road surveying, underground utility detection, and urban and zoning surveys. Additional capabilities include GIS design and implementation, as well as environmental and ecological studies. Driven by technology and precision, STS contributes to smart decision-making for Qatar’s infrastructure growth and sustainability goals.

Job Description<br><br>Must Have<br><br> 4+ years of software or machine-learning engineering experience, including hands-on experience deploying models to production. Demonstrated track record operationalizing models developed by data scientists into reliable, scalable, and observable production systems. Production experience with classical machine-learning workloads — distinct from generative-AI application development. Strong collaboration skills across data science, software engineering, and platform teams. Commitment to building reliable, well-engineered, and maintainable systems. <br><br>Nice to Have<br><br> Experience with feature stores and large-scale or streaming data pipelines. Knowledge of infrastructure-as-code (e.g., Terraform) and cloud cost optimization. Experience with workflow orchestration tools (e.g., Apache Airflow). Familiarity with model-serving frameworks and API design for inference. Light exposure to generative-AI or LLM deployment. Experience operating systems in a regulated or enterprise environment. Cloud or MLOps certifications. <br><br>Responsibilities<br><br> Build, deploy, and maintain production machine-learning pipelines, from data ingestion and feature processing through to model serving. Operationalize models developed by data scientists, ensuring reliability, scalability, reproducibility, and performance. Implement MLOps practices including CI/CD for machine learning, model versioning, automated retraining, and model registries. Design and maintain feature pipelines and, where relevant, feature stores. Set up monitoring and alerting for model performance, data drift, and system health, and respond to degradation. Optimize inference latency, throughput, and resource cost for deployed models. Containerize and orchestrate machine-learning workloads using Docker and Kubernetes on Oracle Cloud Infrastructure (OCI). Automate and harden data and model workflows to reduce manual intervention. Collaborate with data scientists on model handoff, packaging, and success metrics. Work with software engineers to integrate models into client-facing applications and services. Apply software-engineering best practices including testing, code review, and documentation to machine-learning systems. Troubleshoot and resolve production issues across the model-serving stack. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, or a related field; equivalent experience accepted. Strong Python engineering skills and production experience with ML frameworks such as scikit-learn, Tensor Flow, or PyTorch. Hands-on experience with MLOps tooling (e.g., MLflow, Kubeflow) and CI/CD pipelines. Proficiency with containerization and orchestration (Docker, Kubernetes). Experience building and maintaining data pipelines and processing large datasets. Experience with cloud infrastructure, ideally Oracle Cloud Infrastructure (OCI) and OCI Data Science. Understanding of model monitoring, drift detection, and retraining strategies. Solid software-engineering fundamentals including testing and version control.

Job Description<br><br>Must Have<br><br> 3–5 years of software engineering experience, including hands-on experience building LLM or generative-AI features. Production experience with RAG pipelines, embeddings, and vector databases. Demonstrated ability to design, test, and refine prompts and orchestration logic for LLM-driven workflows. Focus on the generative-AI application layer — distinct from classical model training and MLOps. Enthusiasm for working with fast-moving generative-AI technologies. <br><br>Nice to Have<br><br> Exposure to OCI Generative AI services or other cloud AI platforms. Familiarity with agent frameworks and tool integration. Experience deploying applications to the cloud, ideally Oracle Cloud Infrastructure (OCI). Awareness of responsible-AI and safety considerations. Experience with vector database tuning and retrieval optimization. AI or cloud certifications. <br><br>Responsibilities<br><br> Develop generative-AI features and applications using large language models and foundation-model APIs. Implement retrieval-augmented generation (RAG) pipelines, including document processing, embeddings, and vector search. Design, test, and refine prompts and orchestration logic for LLM-driven workflows. Build and integrate agentic components, tool-calling, and multi-step flows. Integrate AI capabilities into applications and services, including OCI Generative AI services. Evaluate model outputs against quality criteria and implement guardrails and validation checks. Build evaluation sets and run experiments to compare prompts, models, and configurations. Collaborate with senior AI engineers and product teams to deliver working AI features. Iterate on solutions based on evaluation results, performance, and user feedback. Document AI components, prompts, and integration patterns for maintainability. Contribute to internal reusable components and accelerators for generative-AI delivery. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field; equivalent experience accepted. Proficiency in Python and experience with LLM frameworks (e.g., Lang Chain, Llama Index) and foundation-model APIs. Working knowledge of RAG, embeddings, and vector databases. Understanding of prompt engineering and orchestration techniques. Ability to evaluate and improve the quality and reliability of AI outputs. Solid general software-engineering skills, including version control and testing. Experience integrating APIs and building application features.

Note: This is a long-term, stable part-time job that supports remote work. Please read the recruitment requirements carefully and fill out the application form accurately. Thank you.<br>WHAT YOU NEED to Have Doctorate PhD or equivalent advanced degree in the subject area Has published at least 5 papers in SCI / SSCI journals within/during the past Three years Thorough understanding of research methodologies and ethical principles within the relevant discipline Excellent analytical and critical thinking skills Strong written communication skills, with the ability to provide clear, concise, and constructive feedback Ability to adhere to deadlines and manage time effectively Commitment to maintaining confidentiality and objectivity Prior experience as a peer reviewer for academic journals is highly desirable Familiarity with online manuscript submission and review systems<br>WHAT YOU WILL DOAssess Novelty: Evaluate whether the manuscript is original and adds new knowledge or insights to the field of study. Evaluate Study Design and Methodology: Check whether the study design and methods are appropriate, comprehensive, and clearly described to ensure reproducibility. Literature Review: Ensure the manuscript thoroughly incorporates and cites relevant, up-to-date research in the field. Analyse Results and Conclusions: Determine whether results are presented clearly and appropriately, and whether conclusions are supported by the data and significant to the field. Provide Constructive Feedback: Suggest improvements and highlight any flaws, omissions, or ethical concerns. Recommend Publication: Based on your evaluation, the journal editor will decide whether the manuscript should be accepted, revised, or rejected.

Required Network Engineer with 8+ years of Cisco Data Center Networking experience. Strong hands-on expertise in Cisco ACI including Nexus 9K hardware, leaf?spine fabric design and sizing, ACI policy model and APIC operations. Solid L3 routing skills (BGP, OSPF) and data center security concepts. Experience with automation using REST APIs, Terraform, and Ansible. In-depth knowledge of ACI logical objects such as tenants, VRFs, bridge domains, EPGs, contracts, L3Out design and implementation, and service graphs with PBR. Hands-on experience with F5 Application Delivery Controllers (LTM, APM) and enterprise firewalls including Palo Alto, Fortinet, and Check Point. Strong automation and scripting skills using IaC tools (Ansible, Terraform) and CI/CD pipelines with Git-based workflows. Proficient in Linux CLI, TCP/IP, DNS, load balancing, and monitoring tools such as Prometheus, Grafana, and ELK for proactive troubleshooting.

Primary Purpose Of The Job<br><br>Provide professional advice, expertise and practical assistance to OV organization<br><br>in managing OV Manpower Call-Off Contract, new tendering / contractual matters (if any)<br><br>from inception of tender scope preparation until closeout of contracts.<br><br>Required Experience And Skills<br><br>15 years multi-disciplinary experience, including 10 years in an oil & gas industry<br><br>or with major industrial structures in the preparation/evaluation/negotiation of<br><br>tenders/contracts of large scale contracts with complexity and diversity.<br><br>Educational Qualifications<br><br>BSc in Engineering Discipline or Quantity Surveying. A postgraduate qualification<br><br>in Contract Management or Project Management desirable.

Primary Purpose Of The Job<br><br>Perform comprehensive Project Planning / Scheduling, Progress monitoring / reporting and<br><br>Time Management functions. Prepare Cost Estimates / Budgets, Cost Forecast / Cost<br><br>Reports. Report monthly Value of Work Done (VOWD), Monthly Invoice Payment / Accruals<br><br>and highlight areas of concern for management consideration and action.<br><br>Required Experience And Skills<br><br>1- Expert knowledge in Planning, Scheduling and Cost Engineering activities including<br><br>Schedule preparation and Cost estimation at various phases of the Project.<br><br>2- Should be a great team player.<br><br>3- Should be proficient in spoken & written English.<br><br>4-Able to read / understand engineering drawings / work packs, well developed analytical<br><br>skills and very good knowledge of internationally acceptable norms.<br><br>5-Good computer skills and proficient user of PRIMAVERA (P6) / MS PROJECT<br><br>planning software, Excel, Power Point etc.<br><br>Educational Qualifications<br><br>Bachelor Degree in an Engineering Discipline, minimum of 10 years of experience in<br><br>Cost Engineering and Project Management in the Oil and Gas Industries and offshore<br><br>Projects.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Highly experienced Drilling Fluids Engineer with over 15 years of international oil and gas industry experience , specializing in the design, implementation, monitoring, and optimization of drilling fluid systems for complex drilling operations, including Extended Reach Drilling (ERD) , high-angle, horizontal, HPHT, and deepwater wells. Proven track record of delivering safe, cost-effective, and technically sound fluid solutions that maximize drilling performance, wellbore stability, and reservoir protection while ensuring compliance with company standards, regulatory requirements, and environmental policies.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Highly experienced Drilling Fluids Engineer with over 15 years of international oil and gas industry experience</li><li>Specializing in the design, implementation, monitoring, and optimization of drilling fluid systems for complex drilling operations, including Extended Reach Drilling (ERD) , high-angle, horizontal, HPHT, and deepwater wells.</li><li>Proven track record of delivering safe, cost-effective, and technically sound fluid solutions that maximize drilling performance, wellbore stability, and reservoir protection while ensuring compliance with company standards, regulatory requirements, and environmental policies.</li><li>Benefit of Working with Visuna? A dedicated member of the team responsible for your placements and welfare Some of the best day rates in the industry FREE worldwide insurance and Medevac cover whist on a Placement 24/7 access to our specialist support team Assistance and advice on a range of business topics FREE access to our Competency Scheme Increased exposure to potential clients and more placement opportunities</li></ul><p></p></section>

Job Description<br><br>Must Have<br><br> 4+ years of software or machine-learning engineering experience, including hands-on experience deploying models to production. Demonstrated track record operationalizing models developed by data scientists into reliable, scalable, and observable production systems. Production experience with classical machine-learning workloads — distinct from generative-AI application development. Strong collaboration skills across data science, software engineering, and platform teams. Commitment to building reliable, well-engineered, and maintainable systems. <br><br>Nice to Have<br><br> Experience with feature stores and large-scale or streaming data pipelines. Knowledge of infrastructure-as-code (e.g., Terraform) and cloud cost optimization. Experience with workflow orchestration tools (e.g., Apache Airflow). Familiarity with model-serving frameworks and API design for inference. Light exposure to generative-AI or LLM deployment. Experience operating systems in a regulated or enterprise environment. Cloud or MLOps certifications. <br><br>Responsibilities<br><br> Build, deploy, and maintain production machine-learning pipelines, from data ingestion and feature processing through to model serving. Operationalize models developed by data scientists, ensuring reliability, scalability, reproducibility, and performance. Implement MLOps practices including CI/CD for machine learning, model versioning, automated retraining, and model registries. Design and maintain feature pipelines and, where relevant, feature stores. Set up monitoring and alerting for model performance, data drift, and system health, and respond to degradation. Optimize inference latency, throughput, and resource cost for deployed models. Containerize and orchestrate machine-learning workloads using Docker and Kubernetes on Oracle Cloud Infrastructure (OCI). Automate and harden data and model workflows to reduce manual intervention. Collaborate with data scientists on model handoff, packaging, and success metrics. Work with software engineers to integrate models into client-facing applications and services. Apply software-engineering best practices including testing, code review, and documentation to machine-learning systems. Troubleshoot and resolve production issues across the model-serving stack. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, or a related field; equivalent experience accepted. Strong Python engineering skills and production experience with ML frameworks such as scikit-learn, Tensor Flow, or PyTorch. Hands-on experience with MLOps tooling (e.g., MLflow, Kubeflow) and CI/CD pipelines. Proficiency with containerization and orchestration (Docker, Kubernetes). Experience building and maintaining data pipelines and processing large datasets. Experience with cloud infrastructure, ideally Oracle Cloud Infrastructure (OCI) and OCI Data Science. Understanding of model monitoring, drift detection, and retraining strategies. Solid software-engineering fundamentals including testing and version control.

Required Network Engineer with 8+ years of Cisco Data Center Networking experience. Strong hands-on expertise in Cisco ACI including Nexus 9K hardware, leaf?spine fabric design and sizing, ACI policy model and APIC operations. Solid L3 routing skills (BGP, OSPF) and data center security concepts. Experience with automation using REST APIs, Terraform, and Ansible. In-depth knowledge of ACI logical objects such as tenants, VRFs, bridge domains, EPGs, contracts, L3Out design and implementation, and service graphs with PBR. Hands-on experience with F5 Application Delivery Controllers (LTM, APM) and enterprise firewalls including Palo Alto, Fortinet, and Check Point. Strong automation and scripting skills using IaC tools (Ansible, Terraform) and CI/CD pipelines with Git-based workflows. Proficient in Linux CLI, TCP/IP, DNS, load balancing, and monitoring tools such as Prometheus, Grafana, and ELK for proactive troubleshooting.

Job Description<br><br>Must Have<br><br> 3–5 years of software engineering experience, including hands-on experience building LLM or generative-AI features. Production experience with RAG pipelines, embeddings, and vector databases. Demonstrated ability to design, test, and refine prompts and orchestration logic for LLM-driven workflows. Focus on the generative-AI application layer — distinct from classical model training and MLOps. Enthusiasm for working with fast-moving generative-AI technologies. <br><br>Nice to Have<br><br> Exposure to OCI Generative AI services or other cloud AI platforms. Familiarity with agent frameworks and tool integration. Experience deploying applications to the cloud, ideally Oracle Cloud Infrastructure (OCI). Awareness of responsible-AI and safety considerations. Experience with vector database tuning and retrieval optimization. AI or cloud certifications. <br><br>Responsibilities<br><br> Develop generative-AI features and applications using large language models and foundation-model APIs. Implement retrieval-augmented generation (RAG) pipelines, including document processing, embeddings, and vector search. Design, test, and refine prompts and orchestration logic for LLM-driven workflows. Build and integrate agentic components, tool-calling, and multi-step flows. Integrate AI capabilities into applications and services, including OCI Generative AI services. Evaluate model outputs against quality criteria and implement guardrails and validation checks. Build evaluation sets and run experiments to compare prompts, models, and configurations. Collaborate with senior AI engineers and product teams to deliver working AI features. Iterate on solutions based on evaluation results, performance, and user feedback. Document AI components, prompts, and integration patterns for maintainability. Contribute to internal reusable components and accelerators for generative-AI delivery. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field; equivalent experience accepted. Proficiency in Python and experience with LLM frameworks (e.g., Lang Chain, Llama Index) and foundation-model APIs. Working knowledge of RAG, embeddings, and vector databases. Understanding of prompt engineering and orchestration techniques. Ability to evaluate and improve the quality and reliability of AI outputs. Solid general software-engineering skills, including version control and testing. Experience integrating APIs and building application features.

Job Description<br><br>Must Have<br><br> 4+ years of software or machine-learning engineering experience, including hands-on experience deploying models to production. Demonstrated track record operationalizing models developed by data scientists into reliable, scalable, and observable production systems. Production experience with classical machine-learning workloads — distinct from generative-AI application development. Strong collaboration skills across data science, software engineering, and platform teams. Commitment to building reliable, well-engineered, and maintainable systems. <br><br>Nice to Have<br><br> Experience with feature stores and large-scale or streaming data pipelines. Knowledge of infrastructure-as-code (e.g., Terraform) and cloud cost optimization. Experience with workflow orchestration tools (e.g., Apache Airflow). Familiarity with model-serving frameworks and API design for inference. Light exposure to generative-AI or LLM deployment. Experience operating systems in a regulated or enterprise environment. Cloud or MLOps certifications. <br><br>Responsibilities<br><br> Build, deploy, and maintain production machine-learning pipelines, from data ingestion and feature processing through to model serving. Operationalize models developed by data scientists, ensuring reliability, scalability, reproducibility, and performance. Implement MLOps practices including CI/CD for machine learning, model versioning, automated retraining, and model registries. Design and maintain feature pipelines and, where relevant, feature stores. Set up monitoring and alerting for model performance, data drift, and system health, and respond to degradation. Optimize inference latency, throughput, and resource cost for deployed models. Containerize and orchestrate machine-learning workloads using Docker and Kubernetes on Oracle Cloud Infrastructure (OCI). Automate and harden data and model workflows to reduce manual intervention. Collaborate with data scientists on model handoff, packaging, and success metrics. Work with software engineers to integrate models into client-facing applications and services. Apply software-engineering best practices including testing, code review, and documentation to machine-learning systems. Troubleshoot and resolve production issues across the model-serving stack. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, or a related field; equivalent experience accepted. Strong Python engineering skills and production experience with ML frameworks such as scikit-learn, Tensor Flow, or PyTorch. Hands-on experience with MLOps tooling (e.g., MLflow, Kubeflow) and CI/CD pipelines. Proficiency with containerization and orchestration (Docker, Kubernetes). Experience building and maintaining data pipelines and processing large datasets. Experience with cloud infrastructure, ideally Oracle Cloud Infrastructure (OCI) and OCI Data Science. Understanding of model monitoring, drift detection, and retraining strategies. Solid software-engineering fundamentals including testing and version control.