Maintenance Engineer Jobs in Qatar

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>About us Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable solutions.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Note: Recruiter to copy a Job Description here. For instructions on how to do this, please click the link below or view the document "How to copy from a Word Document" located on the Taleo Support site under the section titled Quick Reference Guides. How to copy from a Word Document Note: Recruiter to paste Qualifications/Requirements of the job here.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Manage end-to-end handover process in compliance with Ashghal requirements</p><ul><li><p>Ensure timely submission and approval of all PDLM deliverables</p></li><li><p>Coordinate with consultants, stakeholders, and authorities</p></li><li><p>Track asset documentation, drawings, clearances, and approvals</p></li><li><p>With a solid background in Ashghal handover procedures and can efficiently drive project close-out.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>8-10 yrs total experience with minimum 5 years of experience in Ashghal infrastructure/road projects</p><ul><li><p>Proven experience coordinating with GEC and PWA</p></li><li><p>Must have previous Ashghal and Consultant approval</p></li><li><p>Strong expertise in PDLM system and related handover deliverables</p></li><li><p>Thorough knowledge of non-PWA assets and stakeholder coordination</p></li><li><p>Experienced in preparing, compiling, and closing all handover documentation</p></li><li><p>Experienced in preparing, compiling, and closing all handover documentation</p></li><li><p>Strong coordination and communication skills</p></li><li><p>Bachelor's degree in Civil/Construction Engineering or related field</p></li><li><p>with MMUP/UPDA</p></li><li><p>Local hire with valid Qatar ID &amp; Driving license</p></li><li><p>Can join immediately</p></li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><span><span><span>Responsible for monitoring installation, testing, inspection, and quality compliance of instrumentation, automation, PLC, and DCS systems.</span></span></span><br><span><span><span>​</span></span></span><br></span><p><b><span><span><span>Key Responsibilities:</span></span></span></b></p><br><ul><li><span><span><span>Monitor instrumentation installation, testing, calibration, and inspection activities.</span></span></span></li><li><span><span><span>Review and approve ITPs, method statements, work instructions, and QA/QC documents.</span></span></span></li><li><span><span><span>Verify instrument material delivery, storage, installation, and testing against project requirements.</span></span></span></li><li><span><span><span>Conduct actual, witness, and surveillance inspections as per approved ITP.</span></span></span></li><li><span><span><span>Monitor contractor and subcontractor activities.</span></span></span></li><li><span><span><span>Maintain inspection records, traceability, and daily quality reports.</span></span></span><br></li></ul><span>​</span><br><br><br><span>Requirements</span><ul><li><span><span><span>Bachelor’s Degree in Instrumentation / Automation Engineering or equivalent.</span></span></span></li><li><span><span><span>Electrical qualification is desirable.</span></span></span></li><li><span><span><span>Minimum </span></span><b><span><span>8 years of experience</span></span></b><span><span> in large oil &amp; gas / petrochemical instrumentation works.</span></span></span></li><li><span><span><span>Experience in PLC, DCS, field instruments, control systems, installation, testing, and QA/QC inspection.</span></span></span></li><li><span><span><span>Good knowledge of international codes, project specifications, ITPs, and quality records.</span></span></span></li><li><span><span><span>Fluent in English and proficient in MS Office.</span></span></span><br></li></ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><span><span><span>Leads project planning, integrated schedule control, critical path analysis, progress monitoring, risk updates, and management reporting.</span></span></span><br><span><span><span>​</span></span></span><br></span><p><b><span><span><span>Key Responsibilities:</span></span></span></b></p><br><ul><li><span><span><span>Lead planning, scheduling, and project controls activities.</span></span></span></li><li><span><span><span>Review and approve contractor schedules, WBS, progress measurement systems, and planning procedures.</span></span></span></li><li><span><span><span>Conduct critical path analysis and report schedule risks to management.</span></span></span></li><li><span><span><span>Monitor engineering, procurement, construction, pre-commissioning, and commissioning progress.</span></span></span></li><li><span><span><span>Prepare senior management reports, presentations, dashboards, and corrective action plans.</span></span></span></li><li><span><span><span>Coordinate planning interfaces between EPC contractors, subcontractors, and project teams.</span></span></span></li></ul><br><span>Requirements</span><ul><li><span><span><span>BSc in Engineering or equivalent.</span></span></span></li><li><span><span><span>Primavera P6, Microsoft Project, and PMP Certification are mandatory.</span></span></span></li><li><span><span><span>Minimum </span></span><b><span><span>20 years of experience</span></span></b><span><span> in oil &amp; gas / petrochemical projects.</span></span></span></li><li><span><span><span>Minimum </span></span><b><span><span>10 years of experience</span></span></b><span><span> in senior planning roles on large-scale EPC projects.</span></span></span></li><li><span><span><span>Strong knowledge of project controls, schedule integration, progress measurement, EPC planning, risk analysis, and management reporting.</span></span></span></li><li><span><span><span>Fluent in English and proficient in planning software.</span></span></span><br></li></ul><br> </div>

Company Description Skantec Management Solutions is a global leader specializing in engineering and project management consultancy services. The company focuses on delivering high-quality recruitment and engineering solutions for the oil and gas, energy, and petrochemical sectors. With a commitment to providing expertise across global markets, Skantec Management Solutions is dedicated to supporting its clients with innovative and efficient solutions. The organization takes pride in fostering a professional and inclusive work environment.<br>Role Description-Support System Completion Manager; oversee Turn Over Package (TOP).-Lead walkdowns, manage Punch-List, ensure system handovers.-Prepare/manage reports & dossiers (MS Office + project tools).<br>Requirements:-Engineering degree.-3 to 5+ years in plant projects (system completion/commissioning).-Strong in walkdown management, TOP control, reporting.-Proficient in MS Office & project documentation tools.

Company Description Skantec Management Solutions is a global leader specializing in engineering and project management consultancy services. The company focuses on delivering high-quality recruitment and engineering solutions for the oil and gas, energy, and petrochemical sectors. With a commitment to providing expertise across global markets, Skantec Management Solutions is dedicated to supporting its clients with innovative and efficient solutions. The organization takes pride in fostering a professional and inclusive work environment.<br>Role Description-Support System Completion Manager; oversee Turn Over Package (TOP).-Lead walkdowns, manage Punch-List, ensure system handovers.-Prepare/manage reports & dossiers (MS Office + project tools).<br>Requirements:-Engineering degree.-3 to 5+ years in plant projects (system completion/commissioning).-Strong in walkdown management, TOP control, reporting.-Proficient in MS Office & project documentation tools.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> Lead, plan, and manage all Electrical &amp; Instrumentation activities at site</p> <p> Supervise E&amp;I teams and subcontractors to ensure timely and quality project delivery</p> <p> Coordinate project execution including installation, testing, commissioning, and handover activities</p> <p> Ensure compliance with project specifications, safety standards, and client requirements</p> <p> Monitor project progress, resolve technical issues, and support successful project completion</p> <p> Skills Required: Strong leadership and team management abilities</p> <p> Excellent technical knowledge in E&amp;I systems and Oil &amp; Gas projects</p> <p> Effective communication and coordination skills</p> <p> Strong problem-solving and project execution capabilities</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p> Bachelor s Degree in Electrical or Instrumentation Engineering</p> <p> Minimum 10+ years of experience in the Oil &amp; Gas industry</p> <p> Proven experience leading E&amp;I teams on large-scale projects</p> <p> Strong expertise in installation, testing, and commissioning activities</p> <p> Experience managing subcontractors and multidisciplinary teams</p><p></p></section>

Role Overview<br>Responsible for preparing accurate cost estimates, BOQs, and technical/commercial proposals for BMS projects by reviewing drawings, specifications, and coordinating with suppliers and project teams.<br>Key Responsibilities<br>* Prepare cost estimates, BOMs, and tender proposals for BMS projects* Review drawings, specifications, and system requirements* Coordinate with suppliers for quotations and technical inputs* Support BMS system design and material selection* Handle technical clarifications with clients & consultants* Assist in tender submission and project handover activities<br>Requirements<br>* B. E. / B. Tech in EEE / Instrumentation or related field* Experience in BMS engineering or estimation preferred* Strong knowledge of BMS and HVAC control systems* Proficiency in MS Excel and Auto CAD<br>Important<br>* Immediate joiners only* Candidates currently based in Qatar only<br>📩 Interested candidates can send their CV.recruitment@mackins.com.qa

Role Overview<br>Responsible for preparing accurate cost estimates, BOQs, and technical/commercial proposals for BMS projects by reviewing drawings, specifications, and coordinating with suppliers and project teams.<br>Key Responsibilities<br>* Prepare cost estimates, BOMs, and tender proposals for BMS projects* Review drawings, specifications, and system requirements* Coordinate with suppliers for quotations and technical inputs* Support BMS system design and material selection* Handle technical clarifications with clients & consultants* Assist in tender submission and project handover activities<br>Requirements<br>* B. E. / B. Tech in EEE / Instrumentation or related field* Experience in BMS engineering or estimation preferred* Strong knowledge of BMS and HVAC control systems* Proficiency in MS Excel and Auto CAD<br>Important<br>* Immediate joiners only* Candidates currently based in Qatar only<br>📩 Interested candidates can send their CV.recruitment@mackins.com.qa

Job description:<br><br> Job Purpose Provide a variety of Machinery Control Engineering support to contribute to department objectives in meeting Company strategy. Perform as Subject Matter Expert and as Technical Authority in Machinery control area. Key Job Accountabilities Provide a variety of machinery control system engineering support to contribute to the division strategy and goals. That includes design reviews, studies, failure analysis and advanced troubleshooting. Define and document surveillance and administration programs for critical Control Systems to achieve high standards of reliability, availability, and cyber security. Define and document best practices within the area of expertise and recommend performance improvement initiatives. Act as Subject Matter Expert and/or as Technical Authority in area of specialization. Manage plans and work schedules to ensure effective completion of tasks and activities, meeting the section and division KPIs. Provide technical input related to area of expertise to other disciplines and functions as per requirements to support their business objectives. Control and supervise the activities undertaken by contractors, consultants, and service providers. Guide less experienced engineers in implementing the company integrity and reliability systems. Define Competency development plan and mentor National Developees to develop their capabilities and their knowledge. Qualifications Bachelor’s degree in Engineering. Knowledge and Experience 10 years’ experience in an oil and gas environment. Experience in Turbo Machinery control Applications such as from GE, CCC or Triconex. Knowledgeable of relevant international standards such as IEC, ANSI/ISA and API RP and their application is necessary. Fluent in English language (demonstrated verbal and written skills). Computer literate, and competent with a variety of engineering software tools.

Job description:<br><br> Job Purpose Provide a variety of Machinery Control Engineering support to contribute to department objectives in meeting Company strategy. Perform as Subject Matter Expert and as Technical Authority in Machinery control area. Key Job Accountabilities Provide a variety of machinery control system engineering support to contribute to the division strategy and goals. That includes design reviews, studies, failure analysis and advanced troubleshooting. Define and document surveillance and administration programs for critical Control Systems to achieve high standards of reliability, availability, and cyber security. Define and document best practices within the area of expertise and recommend performance improvement initiatives. Act as Subject Matter Expert and/or as Technical Authority in area of specialization. Manage plans and work schedules to ensure effective completion of tasks and activities, meeting the section and division KPIs. Provide technical input related to area of expertise to other disciplines and functions as per requirements to support their business objectives. Control and supervise the activities undertaken by contractors, consultants, and service providers. Guide less experienced engineers in implementing the company integrity and reliability systems. Define Competency development plan and mentor National Developees to develop their capabilities and their knowledge. Qualifications Bachelor’s degree in Engineering. Knowledge and Experience 10 years’ experience in an oil and gas environment. Experience in Turbo Machinery control Applications such as from GE, CCC or Triconex. Knowledgeable of relevant international standards such as IEC, ANSI/ISA and API RP and their application is necessary. Fluent in English language (demonstrated verbal and written skills). Computer literate, and competent with a variety of engineering software tools.

Job Summary We are seeking an experienced Senior Java Developer to design, develop, and support enterprise-grade microservices for digital banking and enterprise applications. The ideal candidate will have strong expertise in Java 17/21, Spring Boot 3.x, RESTful APIs, Microservices Architecture, Oracle Database, CI/CD, and containerized deployments. The role involves end-to-end ownership of application components, including solution design, development, testing, deployment, production support, and performance optimization while working in Agile delivery teams. Key Responsibilities Software Design & Development Design, develop, and maintain enterprise-grade Java applications. Build scalable, secure, and high-performance microservices. Design RESTful APIs and service contracts. Implement business logic using Spring Boot 3.x. Develop reusable, maintainable, and production-ready code. Ensure coding standards and best practices are followed. Microservices Development Design microservice architecture. Define service boundaries. Develop inter-service communication mechanisms. Implement resilience, fault tolerance, and error handling. Develop API endpoints and service integrations. Implement observability, logging, and monitoring. Database Development Develop applications using Oracle Database. Design and optimize SQL queries. Implement data persistence using Spring Data JPA. Develop JPA Specifications. Perform SQL performance tuning. Optimize database access and transactions. API Development Design and develop REST APIs. Define API contracts. Integrate with internal and external systems. Support API versioning and lifecycle management. Ensure API security and performance. Testing & Quality Assurance Develop Unit Tests using JUnit 5. Write Mockito-based test cases. Develop Integration Tests. Achieve required code coverage. Perform defect analysis and bug fixing. Support User Acceptance Testing (UAT). CI/CD & Dev Ops Manage source code using Git. Support CI/CD pipelines. Build applications using Maven. Manage Maven multi-module projects. Deploy applications to:Kubernetes Open Shift Microsoft Azure Support automated deployments. Production Support Investigate production incidents. Debug application, integration, and database issues. Support release management. Perform root cause analysis. Ensure application stability and availability. Code Quality & Documentation Participate in peer code reviews. Maintain technical documentation. Document APIs and services. Ensure compliance with development standards. Maintain governed dependency management. Collaboration Work closely with:Solution Architects Business Analysts QA Engineers Dev Ops Engineers Product Owners Infrastructure Teams Participate in Agile ceremonies. Support sprint planning and backlog refinement. Education Bachelor's Degree in:Computer Science Information Technology Software Engineering Computer Engineering Or equivalent qualification Required Experience Minimum 9+ years of Java development experience. Strong hands-on experience with Java 17/21 (Java 25 exposure is an advantage). Experience building enterprise microservices. Experience in Agile software delivery. Experience supporting enterprise production environments.

Job Summary We are seeking an experienced Senior Java Developer to design, develop, and support enterprise-grade microservices for digital banking and enterprise applications. The ideal candidate will have strong expertise in Java 17/21, Spring Boot 3.x, RESTful APIs, Microservices Architecture, Oracle Database, CI/CD, and containerized deployments. The role involves end-to-end ownership of application components, including solution design, development, testing, deployment, production support, and performance optimization while working in Agile delivery teams. Key Responsibilities Software Design & Development Design, develop, and maintain enterprise-grade Java applications. Build scalable, secure, and high-performance microservices. Design RESTful APIs and service contracts. Implement business logic using Spring Boot 3.x. Develop reusable, maintainable, and production-ready code. Ensure coding standards and best practices are followed. Microservices Development Design microservice architecture. Define service boundaries. Develop inter-service communication mechanisms. Implement resilience, fault tolerance, and error handling. Develop API endpoints and service integrations. Implement observability, logging, and monitoring. Database Development Develop applications using Oracle Database. Design and optimize SQL queries. Implement data persistence using Spring Data JPA. Develop JPA Specifications. Perform SQL performance tuning. Optimize database access and transactions. API Development Design and develop REST APIs. Define API contracts. Integrate with internal and external systems. Support API versioning and lifecycle management. Ensure API security and performance. Testing & Quality Assurance Develop Unit Tests using JUnit 5. Write Mockito-based test cases. Develop Integration Tests. Achieve required code coverage. Perform defect analysis and bug fixing. Support User Acceptance Testing (UAT). CI/CD & Dev Ops Manage source code using Git. Support CI/CD pipelines. Build applications using Maven. Manage Maven multi-module projects. Deploy applications to:Kubernetes Open Shift Microsoft Azure Support automated deployments. Production Support Investigate production incidents. Debug application, integration, and database issues. Support release management. Perform root cause analysis. Ensure application stability and availability. Code Quality & Documentation Participate in peer code reviews. Maintain technical documentation. Document APIs and services. Ensure compliance with development standards. Maintain governed dependency management. Collaboration Work closely with:Solution Architects Business Analysts QA Engineers Dev Ops Engineers Product Owners Infrastructure Teams Participate in Agile ceremonies. Support sprint planning and backlog refinement. Education Bachelor's Degree in:Computer Science Information Technology Software Engineering Computer Engineering Or equivalent qualification Required Experience Minimum 9+ years of Java development experience. Strong hands-on experience with Java 17/21 (Java 25 exposure is an advantage). Experience building enterprise microservices. Experience in Agile software delivery. Experience supporting enterprise production environments.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>To drive sales growth and manage procurement processes for oil and gas piping materials, ensuring high-quality supply chain management, excellent customer service, and compliance with industry standards in the GCC region especially in Qatar</p><p>Must have strong experience in selling and sourcing oil and gas materials, especially piping, valves, and related products, within the GCC region.</p><p>Develop and implement sales strategies to achieve the targets set by management. </p><p>Identify and pursue new business opportunities in key markets. </p><p>Build and maintain strong relationships with existing and potential client </p><p>Prepare and present proposals, quotations and monitor market trends </p><p>Identify and evaluate suppliers to ensure the procurement of high-quality products at competitive prices. </p><p>Negotiate contracts and agreements with suppliers to secure the best terms. </p><p>Meeting with clients and initiating marketing activities to grab business opportunities </p><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Must have strong experience in sales and procurement of piping materials for the oil and gas industry in the GCC region.</p><p>Bachelor's Degree in Engineering or a related field, business administration, or a related field. </p><p>Minimum 5 years of experience in a related field. </p><p>Sales Engineering and Technical Support and Communication skills </p><p>Proven experience in sales, sourcing, and marketing, preferably within O&amp;G industry in GCC</p><p>Strong negotiation, communication, and presentation skills. </p><p>Ability to work independently and as&nbsp;part&nbsp;of&nbsp;a&nbsp;team.</p><p>Local Hire only</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Key Responsibilities<br></span><ul><li>Design, build, and maintain scalable data infrastructure supporting AMI systems<br></li><li>Develop and manage data pipelines integrating multiple data sources into AMI platforms<br></li><li>Ensure data quality, consistency, availability, and performance for AMI monitoring and analytics teams<br></li><li>Design, optimize, and maintain databases capable of handling large-scale metering data volumes<br></li><li>Support real-time and batch data processing requirements<br></li><li>Collaborate with IT, cybersecurity, and operations teams to ensure secure and reliable data flow<br></li><li>Monitor system performance and resolve data pipeline issues and bottlenecks<br></li><li>Document data architecture, workflows, and operational procedures<br></li><li>Ensure compliance with IT governance, information security, and ISO standards<br></li><li>Support disaster recovery and business continuity planning related to data systems<br></li><li>Perform other duties as assigned by management<br></li></ul><br><span>RequirementsRequirements<br></span><ul><li>Bachelor's degree in Computer Science, Information Systems, or a related discipline<br></li><li>Cloud / Data Engineering certification (AWS, Azure, or GCP)<br></li><li>Minimum 9 years of relevant experience in data engineering or similar roles<br></li><li>Expertise in data pipeline design and development<br></li><li>Proficiency in databases and big data technologies (Hadoop, Spark)<br></li><li>Strong analytical, problem-solving, and system optimization skills<br></li><li>Experience working with large-scale data systems, preferably utility or AMI environments<br></li><li>Strong coordination and communication skills<br></li><li>Ability to work in cross-functional teams including IT, cybersecurity, and operations<br></li><li>Written and spoken English is essential; Arabic is preferred<br></li></ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <ul> <li><strong>Electrical Subsea System Pre-commissioning &amp; Commissioning:</strong> Define / Review the methodology for identification and representation of Electrical systems and subsystems boundary limits for project break down into commissionable systems aiding planning preparation and execution.</li> <li>Execution of HV Subsea cable system testing (including HV cable, HV cable Joints and HV Cable Termination) and testing of HV / LV Umbilical and Topside Umbilical Termination Units.</li> <li>Strong background in installation, commissioning (testing), troubleshooting and Energization of Electrical Substation Equipment (132 kV GIS, HV Transformers, HV Reactors, HV Switchgears 33 kV, 6.6 kV, and LV Switchgears, Protection relays, VSD, ENMCS, etc.) and development of HV Switching programs.</li> <li><strong>HV Cable and Umbilical Integration:</strong> Define / implement the requirements for HV power cables and umbilical (including Fiber Optic cable for SCADA Integration) for the transmission of electrical power supply and communication signals from the Onshore facilities to offshore platforms.</li> <li><strong>Vendor Management:</strong> Review technical deliverables, datasheets, and procurement specifications for HV subsea Cable and Umbilical and being Company representative for the FAT and SAT test.</li> </ul><br><ul> <li>Proven professional work experience, skills, or operational practices on marine facilities (Offshore)</li> </ul><br><ul> <li><strong>Salary:</strong><ul> <li>Day Rate in QAR Plus Allowance</li> </ul></li> <li><strong>Work Schedule:</strong><ul> <li>9 Hours / 6 Days</li> </ul></li> </ul> <ul> <li><strong>Duration:</strong> <ul> <li>1 year with possible extension</li> </ul> </li> <li><strong>Location:</strong> <ul> <li>Qatar</li> </ul> </li> </ul> </div>

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> 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> 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.

Primary Purpose Of The Job<br><br>Manage the review, approval, and issuance of e CPW/PTW for Asset operator’s users, tenants, and contractors, to ensure all the activities performed in the Industrial City boundary area are in line with Qatar Energy/ Industrial Cities Guidelines, Regulations and Procedures.<br><br>Develop and supervise inspection program, methodologies and schedules to ensure that all activities/projects related to Asset operator’s, tenants and contractors etc. in RLIC/MIC/DCA are in compliance with requirements and conditions as specified in applicable permits and procedures which are in compliance with Qatar Energy regulations.<br><br>Required Experience And Skills<br><br>10 years total experience with at least five years in oil and gas.<br><br> Working knowledge of discipline activities such as construction, testing, commissioning, and understanding of engineering principles. In depth working knowledge of engineering and HSE codes and standards. Ability to read engineering drawings.<br><br>Educational Qualifications<br><br>Bachelor of Science in Engineering in any discipline