Maintenance Engineer Jobs in Qatar
3637 Jobs Found
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> 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.
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<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation isproject-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational engineering problems that simulate real engineering workflows; Create problems requiring Python programming to solve engineering calculations and simulations; Ensure problems are computationally intensive and require numerical methods or iterative solutions; Develop problems involving system design, optimization, and analysis; Base problems on real research challenges or practical applications from engineering practice; Verify solutions using Python with standard engineering libraries; Document problem statements clearly and provide verified correct answers What we look for This opportunity is a good fit for engineers with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Mechanical Engineering or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Understanding of practical engineering constraints and approximations; Strong written English (C1+); Professional certifications (e.<br>g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
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<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation isproject-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational engineering problems that simulate real engineering workflows; Create problems requiring Python programming to solve engineering calculations and simulations; Ensure problems are computationally intensive and require numerical methods or iterative solutions; Develop problems involving system design, optimization, and analysis; Base problems on real research challenges or practical applications from engineering practice; Verify solutions using Python with standard engineering libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for engineers with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Electrical Engineering or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Understanding of practical engineering constraints and approximations; Strong written English (C1+); Professional certifications (e.<br>g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
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<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation isproject-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational engineering problems that simulate real engineering workflows; Create problems requiring Python programming to solve engineering calculations and simulations; Ensure problems are computationally intensive and require numerical methods or iterative solutions; Develop problems involving system design, optimization, and analysis; Base problems on real research challenges or practical applications from engineering practice; Verify solutions using Python with standard engineering libraries; Document problem statements clearly and provide verified correct answers What we look for This opportunity is a good fit for engineers with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Mechanical Engineering or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Understanding of practical engineering constraints and approximations; Strong written English (C1+); Professional certifications (e.<br>g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
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<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational physics problems that simulate real physics research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; Base problems on real research challenges or practical applications from physics practice; Verify solutions using Python with standard physics simulation libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for optical engineers with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Physics (Theoretical, Experimental, or Computational) or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with numerical simulation methods; Ability to design problems that mirror real physics research workflows; Creative thinking in problem design across diverse physics areas; Familiarity with physics modeling and approximation techniques; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $35 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
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<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational physics problems that simulate real physics research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; Base problems on real research challenges or practical applications from physics practice; Verify solutions using Python with standard physics simulation libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for optical engineers with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Physics (Theoretical, Experimental, or Computational) or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with numerical simulation methods; Ability to design problems that mirror real physics research workflows; Creative thinking in problem design across diverse physics areas; Familiarity with physics modeling and approximation techniques; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $35 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
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<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation isproject-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational engineering problems that simulate real engineering workflows; Create problems requiring Python programming to solve engineering calculations and simulations; Ensure problems are computationally intensive and require numerical methods or iterative solutions; Develop problems involving system design, optimization, and analysis; Base problems on real research challenges or practical applications from engineering practice; Verify solutions using Python with standard engineering libraries; Document problem statements clearly and provide verified correct answers What we look for This opportunity is a good fit for engineers with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Mechanical Engineering or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Understanding of practical engineering constraints and approximations; Strong written English (C1+); Professional certifications (e.<br>g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
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<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation isproject-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational engineering problems that simulate real engineering workflows; Create problems requiring Python programming to solve engineering calculations and simulations; Ensure problems are computationally intensive and require numerical methods or iterative solutions; Develop problems involving system design, optimization, and analysis; Base problems on real research challenges or practical applications from engineering practice; Verify solutions using Python with standard engineering libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for engineers with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Electrical Engineering or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Understanding of practical engineering constraints and approximations; Strong written English (C1+); Professional certifications (e.<br>g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
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<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational physics problems that simulate real physics research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; Base problems on real research challenges or practical applications from physics practice; Verify solutions using Python with standard physics simulation libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for optical engineers with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Physics (Theoretical, Experimental, or Computational) or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with numerical simulation methods; Ability to design problems that mirror real physics research workflows; Creative thinking in problem design across diverse physics areas; Familiarity with physics modeling and approximation techniques; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $35 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
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<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational physics problems that simulate real physics research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; Base problems on real research challenges or practical applications from physics practice; Verify solutions using Python with standard physics simulation libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for optical engineers with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Physics (Theoretical, Experimental, or Computational) or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with numerical simulation methods; Ability to design problems that mirror real physics research workflows; Creative thinking in problem design across diverse physics areas; Familiarity with physics modeling and approximation techniques; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $35 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
<ul><li>Execute precise testing procedures to verify product conformity to specifications and industry standards.</li><li>Conduct detailed inspections of raw materials, in-process components, and finished goods, identifying deviations.</li><li>Document all testing results, observations, and non-conformances accurately in compliance with quality systems.</li><li>Operate and maintain calibrated testing equipment, ensuring its readiness and reliability for accurate measurements.</li><li>Collaborate with production and engineering teams to troubleshoot quality issues and implement corrective actions.</li><li>Perform root cause analysis on defects and contribute to the development of preventative measures.</li><li>Maintain a clean and organized work area, adhering to safety protocols and Good Manufacturing Practices (GMP).</li><li>Participate in internal audits and support external regulatory inspections by providing necessary documentation.</li><li>Contribute to the continuous improvement of quality control processes and methodologies.</li><li>Ensure adherence to all relevant quality standards and regulatory requirements throughout the production lifecycle.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Strong attention to detail and a methodical approach to problem-solving.</p></li><li><p>Excellent documentation and record-keeping skills.</p></li><li><p>Ability to interpret technical drawings and specifications.</p></li><li><p>Effective communication skills, both written and verbal, to report findings clearly.</p></li><li><p>High School Diploma or equivalent; Associate's degree in a technical field preferred.</p></li><li><p>Proven experience (1+ years) in a Quality Assurance or Quality Control role within a plastic manufacturing, HDPE pipe extrusion, or a similar industry.</p></li><li><p>Familiarity with ISO 9001 or other relevant quality management systems.</p></li><li><p>Proficiency in using measurement tools such as calipers, micrometers, and gauges.</p></li></ul>
Key Responsibilities<br>Pre-Award Procurement<br>• Execute procurement strategies aligned with project objectives, budgets, and quality requirements.• Conduct supplier sourcing, market analysis, and supplier evaluations.• Lead commercial and contractual negotiations to secure the best value for projects.• Manage the procurement process from requisition through purchase order award.• Monitor supplier performance and identify cost-saving opportunities.• Support and mentor junior procurement professionals.<br>Post-Award Expediting<br>• Manage expediting activities from PO issuance to final delivery at site.• Track procurement and delivery schedules to ensure timely project execution.• Coordinate supplier kick-off meetings and monitor supplier deliverables.• Work closely with Engineering, Construction, Logistics, and Project teams.• Resolve vendor delays, logistics challenges, and material shortages.• Ensure compliance with contractual obligations and procurement standards.• Provide regular progress reports to project stakeholders and senior management.<br>Requirements8+ years of overall experience Minimum 5 years in EPC Oil & Gas procurement and expediting roles Strong experience in both pre-award and post-award activities SAP/ERP experience is mandatory Strong negotiation, supplier management, and commercial skills GCC experience is an advantage Bachelor's Degree in Supply Chain, Commerce, or related discipline CIPS or equivalent Supply Chain qualification is highly regarded
Primary Purpose Of The Job<br><br>Performs a variety of process engineering duties in the plant. Incudes monitoring performance of plants and facilities, preparing daily performance summary, and recommending corrective actions to deal with abnormalities. Prepares studies to develop, test and implement changes in plant operations.<br><br>Required Experience And Skills<br><br>Minimum 6 years hands-on experience in process/operations in Refinery or Linear Alkyl Benzene plant. Fluent in spoken and written English language. Good personal & oral communication skills. Proficient in Process simulation tools in Refinery or in Linear Alkyl Benzene plant. Professional usage of Refinery Information System (RIS), Process Historian Data (PHD), Laboratory information system, SAP, off-site Automation software’s applications and PC software, such as, Microsoft Project, Excel, Graphics/Presentation packages, Workflow charting … etc. Good knowledge of ISO 9001:2015, ISO17025 and ISO 14000 requirements to be able to implement the Refinery's IMS procedures. Good comprehension of applicable International Standards in Refinery. Analytical skills in Refinery or LAB plant economics business. Presentation and communication skills, ability to draft effective written Technical documents.<br><br>Educational Qualifications<br><br>BSc in Chemical Engineering or in Petroleum Processing Engineering.
Primary Purpose Of The Job<br><br>Performs a variety of process engineering duties in the plant. Incudes monitoring performance of plants and facilities, preparing daily performance summary, and recommending corrective actions to deal with abnormalities. Prepares studies to develop, test and implement changes in plant operations.<br><br>Required Experience And Skills<br><br>Minimum 6 years hands-on experience in process/operations in Refinery or Linear Alkyl Benzene plant. Fluent in spoken and written English language. Good personal & oral communication skills. Proficient in Process simulation tools in Refinery or in Linear Alkyl Benzene plant. Professional usage of Refinery Information System (RIS), Process Historian Data (PHD), Laboratory information system, SAP, off-site Automation software’s applications and PC software, such as, Microsoft Project, Excel, Graphics/Presentation packages, Workflow charting … etc. Good knowledge of ISO 9001:2015, ISO17025 and ISO 14000 requirements to be able to implement the Refinery's IMS procedures. Good comprehension of applicable International Standards in Refinery. Analytical skills in Refinery or LAB plant economics business. Presentation and communication skills, ability to draft effective written Technical documents.<br><br>Educational Qualifications<br><br>BSc in Chemical Engineering or in Petroleum Processing Engineering.
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<strong>Primary Purpose of the Job</strong><br><p>Provides specialist technical support to Department’s Divisions for major facilities, e.g. Common Cooling Water System, Desalinated and Potable water networks, Waste Management facilities, Treated water distribution and other facilities and utilities. This includes establishment of Engineering Standards and Technical Guidelines for the Department's facilities and RLC projects incorporating the latest Process, Engineering, Safety and Environmental Technology; troubleshooting technical problems by conducting research involving fundamental engineering principles.</p><br> <br><strong>Required Experience and Skills</strong><br><ul><li>A minimum of 12-15 years varied experience is required in the relevant Engineering discipline. This should include conceptual and facilities design, project design and management, start-up, troubleshooting and commissioning of facilities in the Oil, Gas and Petrochemical Industry. This experience should include a minimum of 5 to 8 years in a senior supervisory position on major projects.</li><li>Strong communication, influencing, presentation and negotiation skills.</li><li>Computer literate with proven skills in Technical and Simulation packages.</li><li>Strong leadership and motivational skills. Capable of working under tight deadlines.</li></ul> <br><strong>Educational Qualifications</strong><br><p>B.E or B.Sc. Degree in Electrical Engineering Discipline with Chartered membership of the relevant institute or organization. </p><br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & 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><p>Moving forward together We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We're building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there's a path for you here. And there's no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.</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 & Responsibilities</p><div class="paragraph"><p>Lead project team through all aspects of technology selection, design basis, and process design. Provides input and leads the review of contractor design of PFDs, P&IDs, plot plans, heat and energy material balances, design of new chemicals, process design, etc. Ensure design has appropriate Advance Process Control System tools incorporated for process optimization. Review and provide feedback on designs, equipment selections, and construction plans with other project team members. Participate in project HAZOPs, alarm objective analysis, and project MOC HSE evaluations after HAZOP. Leads process control, interlock, shutdown logic, DCS graphical display, alarm display design. Review and approve necessary operations procedures and training from a project process perspective to include normal operation, startup, shutdown, environmental limits, and emergency shutdown. Participate in the MOC process by providing technical inputs and evaluating recommendations to ensure operational feasibility and compliance with safety standards. Arrange process-related expert consulting services as needed. Coordinate all project economic studies with Strategy Group.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><div><h4>Education</h4><p><strong>Required (Qualification1 / Discipline):</strong> Bachelor's Degree in Engineering (Chemical/ Electrical / Mechanical/ Civil).</p><p><strong>Preferred (Qualification1 / Discipline):</strong> Master Degree in Engineering (Chemical/ Electrical / Mechanical/ Civil).</p></div><div><h4>Experience</h4><p><strong>Required (Years2 / Job Level3 / Industry):</strong> 5-7 years of experience in the O&G Industry.</p><p><strong>Preferred (Years2 / Job Level3 / Industry):</strong> Similar experience in Petrochemicals Industry.</p></div><div><h4>Languages</h4><p><strong>Required (Language / Level4):</strong> English - proficient</p><p><strong>Preferred (Language / Level4):</strong> Arabic - working knowledge</p></div><div><h4>Reference</h4><p>Qualifications : High School, Higher National Diploma, 3-year Diploma, Bachelor, Masters</p><p>Years : Up to 3 years, 3-5 years, 5-7 years, 7-10 years, 10+ years, and 15+ years</p><p>Job Level : Staff, Analyst, Specialist, Supervisor, Mid-Management, Senior Management, Executive</p><p>Language Level : Basic, Working Knowledge, Proficient</p></div><p></p></section>
Primary Purpose Of The Job<br><br>Perform comprehensive Project Planning, Scheduling, Progress monitoring, Progress Verification and reporting activities necessary to achieve the successful execution of the assigned Project(s) from initiation to close-out.<br><br>Required Experience And Skills<br><br>Minimum 15 years’ experience in planning of projects in Oil & Gas including large capital and/or portfolio projects with onshore brownfield and greenfield projects including gas processing plants, refineries, onshore pipelines, etc. Preferably minimum 5 years’ experience in National Oil Companies and/or International Oil Companies. Experience in EPC project lifecycle, encompassing engineering, procurement, construction & commissioning Experience in pre-commissioning and commissioning planning, including system-wise handover strategies Experience in developing and managing shutdown schedules covering the full cycle: pre-shutdown preparation, shutdown execution and post-shutdown activities. Experience includes project planning, scheduling & phasing, project control & monitoring, forecasting, trending, risk assessment, variations/claims analysis, progress verification. High level of computer literacy with MS Office and relevant Project Control software including Primavera. Skills in Primavera Risk Analysis and Power BI are preferable. Work experience in the GCC is desirable Well-developed analytical and reporting skills.<br><br>Educational Qualifications<br><br>B. Sc. or equivalent in an Engineering Discipline. Preferably Certified PMP or equivalent certifications/memberships.
Primary Purpose Of The Job<br><br>Perform comprehensive Project Planning, Scheduling, Progress monitoring, Progress Verification and reporting activities necessary to achieve the successful execution of the assigned Project(s) from initiation to close-out.<br><br>Required Experience And Skills<br><br>Minimum 15 years’ experience in planning of projects in Oil & Gas including large capital and/or portfolio projects with onshore brownfield and greenfield projects including gas processing plants, refineries, onshore pipelines, etc. Preferably minimum 5 years’ experience in National Oil Companies and/or International Oil Companies. Experience in EPC project lifecycle, encompassing engineering, procurement, construction & commissioning Experience in pre-commissioning and commissioning planning, including system-wise handover strategies Experience in developing and managing shutdown schedules covering the full cycle: pre-shutdown preparation, shutdown execution and post-shutdown activities. Experience includes project planning, scheduling & phasing, project control & monitoring, forecasting, trending, risk assessment, variations/claims analysis, progress verification. High level of computer literacy with MS Office and relevant Project Control software including Primavera. Skills in Primavera Risk Analysis and Power BI are preferable. Work experience in the GCC is desirable Well-developed analytical and reporting skills.<br><br>Educational Qualifications<br><br>B. Sc. or equivalent in an Engineering Discipline. Preferably Certified PMP or equivalent certifications/memberships.