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Responsibilities<br><br> Conduct preventive and corrective maintenance activities to ensure the efficient and reliable operation of equipment and machinery Troubleshoot and diagnose problems and develop and execute maintenance plans to minimize downtime and disruptions Analyst data to identify trends, diagnose problems and develop solutions to improve equipment reliability and performance Collaborate with production teams, management and suppliers to develop and execute maintenance plans that meet organization goals and priorities Ensure that those conducting maintenance activities are in compliance with safety standards and regulations, and identify and mitigate potential safety hazards Develop and maintain technical documentation, schematics and procedures to support maintenance activities Participate in ongoing training and development programmer to enhance skills and knowledge <br><br>Qualifications<br><br> A bachelor's degree in engineering or a related field 3 years of relevant work experience in mechanical, electrical or industrial maintenance Strong understanding of engineering principles and knowledge of equipment and machinery Ability to analyst information, diagnose problems and develop solutions <br><br>This job is provided by Shine.com

Responsibilities<br><br> Conduct preventive and corrective maintenance activities to ensure the efficient and reliable operation of equipment and machinery Troubleshoot and diagnose problems and develop and execute maintenance plans to minimize downtime and disruptions Analyst data to identify trends, diagnose problems and develop solutions to improve equipment reliability and performance Collaborate with production teams, management and suppliers to develop and execute maintenance plans that meet organization goals and priorities Ensure that those conducting maintenance activities are in compliance with safety standards and regulations, and identify and mitigate potential safety hazards Develop and maintain technical documentation, schematics and procedures to support maintenance activities Participate in ongoing training and development programmer to enhance skills and knowledge <br><br>Qualifications<br><br> A bachelor's degree in engineering or a related field 3 years of relevant work experience in mechanical, electrical or industrial maintenance Strong understanding of engineering principles and knowledge of equipment and machinery Ability to analyst information, diagnose problems and develop solutions <br><br>This job is provided by Shine.com

Responsibilities<br><br> Conduct preventive and corrective maintenance activities to ensure the efficient and reliable operation of equipment and machinery Troubleshoot and diagnose problems and develop and execute maintenance plans to minimize downtime and disruptions Analyst data to identify trends, diagnose problems and develop solutions to improve equipment reliability and performance Collaborate with production teams, management and suppliers to develop and execute maintenance plans that meet organization goals and priorities Ensure that those conducting maintenance activities are in compliance with safety standards and regulations, and identify and mitigate potential safety hazards Develop and maintain technical documentation, schematics and procedures to support maintenance activities Participate in ongoing training and development programmer to enhance skills and knowledge <br><br>Qualifications<br><br> A bachelor's degree in engineering or a related field 3 years of relevant work experience in mechanical, electrical or industrial maintenance Strong understanding of engineering principles and knowledge of equipment and machinery Ability to analyst information, diagnose problems and develop solutions <br><br>This job is provided by Shine.com

Responsibilities<br><br> Conduct preventive and corrective maintenance activities to ensure the efficient and reliable operation of equipment and machinery Troubleshoot and diagnose problems and develop and execute maintenance plans to minimize downtime and disruptions Analyst data to identify trends, diagnose problems and develop solutions to improve equipment reliability and performance Collaborate with production teams, management and suppliers to develop and execute maintenance plans that meet organization goals and priorities Ensure that those conducting maintenance activities are in compliance with safety standards and regulations, and identify and mitigate potential safety hazards Develop and maintain technical documentation, schematics and procedures to support maintenance activities Participate in ongoing training and development programmer to enhance skills and knowledge <br><br>Qualifications<br><br> A bachelor's degree in engineering or a related field 3 years of relevant work experience in mechanical, electrical or industrial maintenance Strong understanding of engineering principles and knowledge of equipment and machinery Ability to analyst information, diagnose problems and develop solutions <br><br>This job is provided by Shine.com

Responsibilities<br><br> Conduct preventive and corrective maintenance activities to ensure the efficient and reliable operation of equipment and machinery Troubleshoot and diagnose problems and develop and execute maintenance plans to minimize downtime and disruptions Analyst data to identify trends, diagnose problems and develop solutions to improve equipment reliability and performance Collaborate with production teams, management and suppliers to develop and execute maintenance plans that meet organization goals and priorities Ensure that those conducting maintenance activities are in compliance with safety standards and regulations, and identify and mitigate potential safety hazards Develop and maintain technical documentation, schematics and procedures to support maintenance activities Participate in ongoing training and development programmer to enhance skills and knowledge <br><br>Qualifications<br><br> A bachelor's degree in engineering or a related field 3 years of relevant work experience in mechanical, electrical or industrial maintenance Strong understanding of engineering principles and knowledge of equipment and machinery Ability to analyst information, diagnose problems and develop solutions <br><br>This job is provided by Shine.com

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>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.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Minimum 6 years hands-on experience in process/operations in Refinery or Linear Alkyl Benzene plant.</li><li>Fluent in spoken and written English language.</li><li>Good personal &amp; oral communication skills.</li><li>Proficient in Process simulation tools in Refinery or in Linear Alkyl Benzene plant.</li><li>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.</li><li>Good knowledge of ISO 9001:2015, ISO17025 and ISO 14000 requirements to be able to implement the Refinery's IMS procedures.</li><li>Good comprehension of applicable International Standards in Refinery.</li><li>Analytical skills in Refinery or LAB plant economics business.</li><li>Presentation and communication skills, ability to draft effective written Technical documents.</li><li>BSc in Chemical Engineering or in Petroleum Processing Engineering.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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 Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling; Not prompt engineering; Not cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; English proficiency — B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<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 20-25 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> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $75 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>

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.

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.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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>

Oversee the operation, maintenance, testing, calibration, replacement, and performance monitoring of all types of water metering systems to ensure reliable and accurate measurement. Diagnose, troubleshoot, and resolve technical issues related to water meters, metering accessories, communication devices, and associated systems to maintain operational reliability. Monitor water meter installation, replacement, upgrade, commissioning, and maintenance activities to ensure compliance with quality standards, project schedules, and technical requirements. Review and analyze water meter performance data, identify trends and operational issues, and prepare technical reports with findings, recommendations, and corrective actions. Support continuous improvement initiatives to enhance water metering technologies, measurement accuracy, asset reliability, and operational efficiency. Develop, implement, and monitor preventive, predictive, and corrective maintenance programs to maximize the performance and lifecycle of water metering systems. Conduct technical inspections, site assessments, testing, and verification of water metering installations to ensure compliance with approved specifications and contractual requirements. Provide technical expertise on water metering systems, equipment selection, technology evaluation, and industry best practices to support engineering and operational activities. Perform any other duties and responsibilities assigned by the immediate supervisor or management to support departmental and organizational objectives.

An Operations Process Engineeroptimizes manufacturing, production, or industrial workflows to maximize efficiency, quality, and safety while reducing costs. Key duties include analyzing process trends, troubleshooting equipment issues, developing standard operating procedures (SOPs), and implementing new, cost-effective technologies. They work to improve production capacity and ensure compliance with safety/regulatory standards.<br><br>Key Responsibilities And Duties<br><br> Process Optimization: Analyze existing manufacturing processes to improve efficiency, productivity, and yield.<br><br> Design Implementation: Design, test, and install new equipment or process upgrades to enhance production capabilities.<br><br> Troubleshooting: Identify, diagnose, and resolve daily operational and equipment issues to minimize downtime.<br><br> Documentation Compliance: Develop and maintain technical documentation, including SOPs, Process Flow Diagrams (PFD), and Failure Mode and Effects Analysis (FMEA).<br><br> Safety Quality: Ensure processes comply with safety, environmental, and quality standards, such as ISO.<br><br> Data Analysis: Monitor process KPIs, such as cycle times and yield rates, to inform data-driven decisions.<br><br> Training Collaboration: Train operators on new processes and collaborate with maintenance, quality, and production teams.<br><br>This job is provided by Shine.com

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.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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.&nbsp;</p><br> </div>

<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><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>

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.