Linux - Unix Systems Administrator Jobs in Oman
277 Jobs Found
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p><b>Overview of the role:</b></p><p>Ensuring overall customer satisfaction by providing excellent service experience, with optimum the operational cost</p><p> </p><p> </p><p><b>What you will do:-</b></p><p>Description of Accountability:</p><p> </p><p><b>Sales Generation & Target Achievement: -</b></p><ul><li>Identify new and potential clients requiring AMC for air conditioning units (residential, commercial, and industrial).</li><li>Proactively pursue new leads through cold calls, site visits, references, and digital inquiries.</li><li>Convert expired or inactive clients into renewed AMC business through structured follow-up and negotiation.</li><li>Consistently meet or exceed assigned monthly and quarterly AMC sales targets.</li></ul><p> </p><p><b>Strategic Client Management –</b></p><ul><li>Develop and maintain strong professional relationships with key decision-makers and facility managers.</li><li>Clearly explain AMC benefits, terms, and scope of work to ensure customer buy-in and prevent future disputes.</li><li>Handle escalations promptly and collaborate with the service team to ensure SLA compliance. and prevent future disputes.</li><li>Handle escalations promptly and collaborate with the service team to ensure SLA compliance</li></ul><p> </p><p><b>Payment Collection & Accountability –</b></p><ul><li>Take complete ownership of AMC payment collections — from invoicing to closure.</li><li>Follow up rigorously on overdue payments and ensure zero aging beyond the defined credit period.</li><li>Work closely with accounts to resolve discrepancies and maintain accurate ledgers</li></ul><p> </p><p><b>Daily Reporting & CRM Updates –</b></p><ul><li>Submit structured daily reports covering</li><li>Number of client meetings and calls made</li><li>Leads generated and follow-up status</li><li>AMC quotations shared and orders secured</li><li>Collections made and outstanding issues</li><li>Maintain up-to-date and accurate records Escalate any client or operational delays to management proactively.</li></ul><p> </p><p><b>Market Intelligence & Competitor Awareness –</b></p><ul><li>Continuously gather and report market data on competitor pricing, service gaps, and potential opportunities.</li><li>Suggest improvements in AMC offerings based on feedback and industry trends</li></ul><p> </p> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><p><b>Required Skills to be successful:</b></p><p> </p><ul><li>Customer-focused approach with quality orientation</li><li>Effective communication and coordination skills</li><li>Problem-solving and analytical ability</li><li>Ability to manage multiple priorities and meet deadlines</li></ul><p> </p><p><b>What equips you for the role:</b></p><p> </p><ul><li>8-10 years of experience in Sales, Client Management preferably in consumer electronics and air conditioning field</li><li>Diploma /Graduation in relevant field.</li><li>Knowledge of English written and spoken.</li><li>Having good customer handling skills</li><li>Should have valid Oman Driving License.</li><li>Knowledge of Spoken Arabic language</li></ul><p><br></p></div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<strong>1. Welding Procedure Development</strong><ul><li>Prepare and review:<ul><li>WPS (Welding Procedure Specifications)</li><li>PQR (Procedure Qualification Records)</li></ul></li><li>Ensure procedures comply with applicable codes such as:<ul><li>ASME Section IX</li><li>AWS D1.1</li><li>API / ISO standards</li></ul></li><li>Coordinate procedure qualification tests and approvals.</li></ul><strong>2. Technical Support to Fabrication</strong><ul><li>Provide technical guidance to welding supervisors and production teams.</li><li>Resolve welding-related issues on shop floor.</li><li>Interpret drawings, weld maps, and specifications.</li></ul><strong>3. Welder Qualification</strong><ul><li>Plan and conduct welder qualification tests (WQT).</li><li>Ensure welders are qualified in accordance with project and code requirements.</li><li>Maintain welder qualification records and continuity logs.</li></ul><strong>4. Welding Consumables Control</strong><ul><li>Specify and approve welding consumables (electrodes, wires, flux).</li><li>Ensure proper storage, baking, and handling of consumables.</li><li>Monitor usage and ensure compliance with procedures.</li></ul><strong>5. Welding Quality Assurance</strong><ul><li>Coordinate with QA/QC team on:<ul><li>Fit-up inspections</li><li>Visual inspections</li><li>NDT requirements (RT, UT, MPI, DPI)</li></ul></li><li>Analyze weld defects and recommend corrective actions.</li><li>Monitor welding repair rates and improve quality performance.</li></ul><strong>6. Process Monitoring & Optimization</strong><ul><li>Monitor welding parameters and efficiency.</li><li>Optimize welding processes for:<ul><li>Productivity improvement</li><li>Cost reduction</li><li>Quality enhancement</li></ul></li><li>Support implementation of advanced welding techniques where applicable.</li></ul><strong>7. Documentation & Reporting</strong><ul><li>Maintain welding documentation including:<ul><li>WPS/PQR records</li><li>Welder qualification logs</li><li>Welding traceability records</li></ul></li><li>Prepare reports on:<ul><li>Weld status</li><li>Defect analysis</li><li>Productivity metrics</li></ul></li></ul> </div>
<p><h4>Energy Jobline overview</h4>
<p>Energy Jobline is the largest and fastest growing global energy job board and energy hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.</p>
<p>We focus on the oil & gas, renewables, engineering, power, and nuclear markets as well as emerging technologies in EV, battery, and fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.</p>
<h4>Role overview</h4>
<p>We are seeking an experienced PCC Instrumentation Lead Engineer to lead and execute instrumentation related precommissioning and commissioning activities on a large-scale LNG facility. The role carries full responsibility for instrumentation systems readiness from mechanical completion through commissioning, startup support, and handover to operations.</p>
<p>This is a site based leadership role, suited to senior instrumentation commissioning professionals with strong EPC project experience.</p>
<h4>Key responsibilities</h4>
<ul>
<li>Lead all instrumentation PCC activities in line with the commissioning philosophy and schedule</li>
<li>Provide technical and execution leadership to instrumentation system engineers and field teams</li>
<li>Ensure instrumentation systems are fully prepared for:
<ul>
<li>Precommissioning</li>
<li>Commissioning</li>
<li>Startup and initial operation</li>
</ul>
</li>
<li>Coordinate and supervise key activities including:
<ul>
<li>Instrument installation verification and inspection</li>
<li>Loop checking and functional testing</li>
<li>Cause & effect testing</li>
<li>Instrument calibration and validation</li>
<li>Control valve testing and stroking</li>
<li>Analyzer commissioning</li>
</ul>
</li>
<li>Verify mechanical completion (MC) and manage punch list clearance for instrumentation scope</li>
<li>Coordinate closely with electrical, process, operations, construction, HSE, and QA/QC teams</li>
<li>Review and approve instrumentation commissioning procedures, test packs, and dossiers</li>
<li>Support DCS, ESD, F&G, and PLC system testing in coordination with vendors and automation teams</li>
<li>Manage SIMOPS, PTW compliance, and safe execution of live system testing</li>
<li>Report on progress, constraints, and risks to the commissioning manager</li>
</ul>
<h4>Mandatory requirements (strict)</h4>
<h5>Education</h5>
<p>Bachelor’s degree in instrumentation, control, electrical, or related engineering discipline</p>
<h5>Experience</h5>
<ul>
<li>Minimum 10 years experience in oil & gas or LNG projects</li>
<li>Proven role as instrumentation lead during precommissioning and commissioning phases</li>
<li>Strong hands-on experience with:
<ul>
<li>Instrument loop checks</li>
<li>Control systems and safety systems commissioning</li>
<li>Large EPC project environments</li>
<li>Extensive site based LNG or gas processing facility experience</li>
</ul>
</li>
<li>Candidates without direct instrumentation commissioning leadership experience will not be considered</li>
</ul>
<h5>Technical expertise</h5>
<ul>
<li>Strong knowledge of:
<ul>
<li>Instrumentation commissioning workflows and system handover</li>
<li>DCS, ESD, F&G, PLC, and analyzer systems</li>
<li>Commissioning documentation, test packs, and system dossiers</li>
</ul>
</li>
<li>Ability to interpret:
<ul>
<li>P&IDs and cause & effect charts</li>
<li>Instrument loop diagrams and hookups</li>
<li>Control system architecture drawings</li>
</ul>
</li>
</ul>
<h5>Leadership & professional skills</h5>
<ul>
<li>Proven ability to lead multidisciplinary instrumentation teams</li>
<li>Strong coordination and interface management skills</li>
<li>Practical, hands-on problem solver</li>
<li>Clear verbal and written communication in English</li>
<li>Comfortable working in high pressure, multicultural site environments</li>
</ul>
<h4>Ideal background</h4>
<ul>
<li>EPC contractor commissioning background</li>
<li>LNG precommissioning, commissioning, and startup exposure</li>
<li>Middle East project experience</li>
</ul></p><p></p>
<p><h4>Energy Jobline overview</h4>
<p>Energy Jobline is the largest and fastest growing global energy job board and energy hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.</p>
<p>We focus on the oil & gas, renewables, engineering, power, and nuclear markets as well as emerging technologies in EV, battery, and fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.</p>
<h4>Role overview</h4>
<p>We are seeking an experienced PCC Instrumentation Lead Engineer to lead and execute instrumentation related precommissioning and commissioning activities on a large-scale LNG facility. The role carries full responsibility for instrumentation systems readiness from mechanical completion through commissioning, startup support, and handover to operations.</p>
<p>This is a site based leadership role, suited to senior instrumentation commissioning professionals with strong EPC project experience.</p>
<h4>Key responsibilities</h4>
<ul>
<li>Lead all instrumentation PCC activities in line with the commissioning philosophy and schedule</li>
<li>Provide technical and execution leadership to instrumentation system engineers and field teams</li>
<li>Ensure instrumentation systems are fully prepared for:
<ul>
<li>Precommissioning</li>
<li>Commissioning</li>
<li>Startup and initial operation</li>
</ul>
</li>
<li>Coordinate and supervise key activities including:
<ul>
<li>Instrument installation verification and inspection</li>
<li>Loop checking and functional testing</li>
<li>Cause & effect testing</li>
<li>Instrument calibration and validation</li>
<li>Control valve testing and stroking</li>
<li>Analyzer commissioning</li>
</ul>
</li>
<li>Verify mechanical completion (MC) and manage punch list clearance for instrumentation scope</li>
<li>Coordinate closely with electrical, process, operations, construction, HSE, and QA/QC teams</li>
<li>Review and approve instrumentation commissioning procedures, test packs, and dossiers</li>
<li>Support DCS, ESD, F&G, and PLC system testing in coordination with vendors and automation teams</li>
<li>Manage SIMOPS, PTW compliance, and safe execution of live system testing</li>
<li>Report on progress, constraints, and risks to the commissioning manager</li>
</ul>
<h4>Mandatory requirements (strict)</h4>
<h5>Education</h5>
<p>Bachelor’s degree in instrumentation, control, electrical, or related engineering discipline</p>
<h5>Experience</h5>
<ul>
<li>Minimum 10 years experience in oil & gas or LNG projects</li>
<li>Proven role as instrumentation lead during precommissioning and commissioning phases</li>
<li>Strong hands-on experience with:
<ul>
<li>Instrument loop checks</li>
<li>Control systems and safety systems commissioning</li>
<li>Large EPC project environments</li>
<li>Extensive site based LNG or gas processing facility experience</li>
</ul>
</li>
<li>Candidates without direct instrumentation commissioning leadership experience will not be considered</li>
</ul>
<h5>Technical expertise</h5>
<ul>
<li>Strong knowledge of:
<ul>
<li>Instrumentation commissioning workflows and system handover</li>
<li>DCS, ESD, F&G, PLC, and analyzer systems</li>
<li>Commissioning documentation, test packs, and system dossiers</li>
</ul>
</li>
<li>Ability to interpret:
<ul>
<li>P&IDs and cause & effect charts</li>
<li>Instrument loop diagrams and hookups</li>
<li>Control system architecture drawings</li>
</ul>
</li>
</ul>
<h5>Leadership & professional skills</h5>
<ul>
<li>Proven ability to lead multidisciplinary instrumentation teams</li>
<li>Strong coordination and interface management skills</li>
<li>Practical, hands-on problem solver</li>
<li>Clear verbal and written communication in English</li>
<li>Comfortable working in high pressure, multicultural site environments</li>
</ul>
<h4>Ideal background</h4>
<ul>
<li>EPC contractor commissioning background</li>
<li>LNG precommissioning, commissioning, and startup exposure</li>
<li>Middle East project experience</li>
</ul></p><p></p>
<p>Electrical Activities:</p><ul><li><p>Installation of Electrical systems including power, lighting, earthing & Lightning protection.</p></li><li><p>Cable tray, conduit , cabling & termination works.</p></li><li><p>Installation of DBs, MDBs, SMDBs & associated equipment.</p></li><li><p>Fire alarm, emergency lighting & other ELV system installation.</p></li><li><p>Testing, commissioning & handover of electrical systems.</p></li><li><p>Ensure compliance with drawings, specifications & safety standards.</p></li><li><p>Coordinate with other trades and maintain site progress.</p></li></ul><p>Plumbing Activities:</p><ul><li><p>Installation of cold & hot water supply systems.</p></li><li><p>Installation of sanitary drainage, waste & vent systems</p></li><li><p>Installation of soil, waste, rainwater (SWR) & storm water systems</p></li><li><p>Installation of fixtures, fittings & plumbing accessories.</p></li><li><p>Testing, flushing & commissioning of plumbing systems.</p></li><li><p>Ensure compliance with drawings, specifications & standards</p></li><li><p>Coordinate with other trades and maintain site progress</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's degree in Electrical Engineering, ensuring a strong foundational knowledge of MEP systems.</p></li><li><p>Minimum of 5 years of experience in MEP engineering, with a proven track record in commercial or industrial projects.</p></li><li><p>Professional Engineering (PE) license or similar certification, demonstrating recognized expertise in the field.</p></li><li><p>Experience with Building Information Modeling (BIM) software, such as Revit, to facilitate advanced design processes.</p></li></ul>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>Apprenti-e Data Engineer F/H</p><br><br><p>Alternance</p><br><br><p>1 - 2 ans</p><br><br><p>Etudiant</p><br><br><p>Temps complet</p><br><br><p>Safran Aircraft Engines réceptionne, stocke et analyse les données de vol et de flotte de son parc de moteurs CFM56 et LEAP. Ces données sont utilisées afin :<br>- D'analyser en temps quasi réel la santé des moteurs et de proposer des actions de maintenance en cas de dérive. <br>- De réaliser des retours d'expérience sur le comportement flotte en lien avec la rentabilité des contrats de service<br>- De proposer des architectures moteurs avancées pour de futurs concepts<br>Intégré-e à la direction du Support Client, département « Fleet Data Management », au sein de l'équipe « Monitoring Advanced Systems », vous aurez les missions suivantes :<br>o Explorer différentes pistes sur une architecture AWS pour créer des pipelines visant à extraire de la donnée et créer des KPI<br>o Développer des outils de création d'indicateurs de disponibilité de la donnée<br>o Développer des outils d'indication de la qualité de la chaîne de données<br>o Caractériser l'architecture de collecte vis-à-vis des objectifs de rapidité de traitement et proposer des améliorations<br>Dans le cadre de ces travaux vous serez amené-e à échanger avec les bureaux d'études et différents services du support client.</p><br><br><p>Possibilité de télétravail<br>Formations disponibles<br>accès au CSE</p><br><br><p>Etudiant-e en recherche d'apprentissage après au minimum un BAC+4. Vous menez des études orientées autour de la data, avez de bonnes bases en programmation (Python de préférence, SQL, Scala, Spark, …) et souhaitez renforcer ces compétences dans un milieu industriel de terrain.<br>Autonome, vous êtes reconnu-e pour votre curiosité, rigueur, réactivité nécessaire au travail sur des projets transverses.<br>Bonne maitrise de l'anglais requise. <br>Une connaissance du monde aéronautique et du Big Data sont des plus.</p><br><br><br> </div>
<p><h4>Description</h4>
<p>Remote junior AI engineer – computer vision<br>
Location: Remote<br>
Employment type: Full-time (8 hours) remotely<br>
Experience level: Junior (2+ years)</p>
<p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p>
<p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p>
<p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p>
<p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p>
<h4>Role overview</h4>
<p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p>
<h4>Requirements</h4>
<ul>
<li>Develop and train computer vision models for image and video analysis.</li>
<li>Implement solutions for object detection, image classification, segmentation, and tracking.</li>
<li>Prepare and manage datasets, including data cleaning, labeling, and augmentation.</li>
<li>Optimize models for GPU performance, inference speed, and scalability.</li>
<li>Deploy AI models into production using APIs and containerized services.</li>
<li>Integrate computer vision models with broader AI and analytics platforms.</li>
<li>Collaborate with software engineers, data scientists, and product teams.</li>
<li>Maintain documentation and ensure code quality and reproducibility.</li>
</ul>
<h4>Required skills & qualifications</h4>
<ul>
<li>Minimum 2 years of hands-on experience in AI, machine learning, or deep learning with a focus on computer vision.</li>
<li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li>
<li>Strong knowledge of computer vision concepts and algorithms.</li>
<li>Practical experience with CNN-based models and modern computer vision architectures.</li>
<li>Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).</li>
<li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li>
<li>Understanding of model evaluation, metrics, and performance optimization.</li>
<li>Experience deploying models in cloud or on-premises environments.</li>
<li>Familiarity with Docker and basic MLOps practices.</li>
<li>Excellent English communication skills (written and spoken).</li>
</ul>
<h4>Nice to have</h4>
<ul>
<li>Experience with video analytics or real-time inference.</li>
<li>Exposure to vision transformers or multimodal AI.</li>
<li>Experience with GPU-based training and inference.</li>
<li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li>
<li>Background in domains such as healthcare, smart cities, or industrial AI.</li>
</ul>
<h4>Benefits</h4>
<ul>
<li>Work on practical, production-grade computer vision solutions.</li>
<li>Access to GPU infrastructure and modern AI tooling.</li>
<li>Collaborative, engineering-focused work environment.</li>
<li>Opportunities for growth and advanced AI exposure.</li>
<li>Competitive compensation package.</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>Remote junior AI engineer – computer vision<br>
Location: Remote<br>
Employment type: Full-time (8 hours) remotely<br>
Experience level: Junior (2+ years)</p>
<p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p>
<p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p>
<p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p>
<p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p>
<h4>Role overview</h4>
<p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p>
<h4>Requirements</h4>
<ul>
<li>Develop and train computer vision models for image and video analysis.</li>
<li>Implement solutions for object detection, image classification, segmentation, and tracking.</li>
<li>Prepare and manage datasets, including data cleaning, labeling, and augmentation.</li>
<li>Optimize models for GPU performance, inference speed, and scalability.</li>
<li>Deploy AI models into production using APIs and containerized services.</li>
<li>Integrate computer vision models with broader AI and analytics platforms.</li>
<li>Collaborate with software engineers, data scientists, and product teams.</li>
<li>Maintain documentation and ensure code quality and reproducibility.</li>
</ul>
<h4>Required skills & qualifications</h4>
<ul>
<li>Minimum 2 years of hands-on experience in AI, machine learning, or deep learning with a focus on computer vision.</li>
<li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li>
<li>Strong knowledge of computer vision concepts and algorithms.</li>
<li>Practical experience with CNN-based models and modern computer vision architectures.</li>
<li>Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).</li>
<li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li>
<li>Understanding of model evaluation, metrics, and performance optimization.</li>
<li>Experience deploying models in cloud or on-premises environments.</li>
<li>Familiarity with Docker and basic MLOps practices.</li>
<li>Excellent English communication skills (written and spoken).</li>
</ul>
<h4>Nice to have</h4>
<ul>
<li>Experience with video analytics or real-time inference.</li>
<li>Exposure to vision transformers or multimodal AI.</li>
<li>Experience with GPU-based training and inference.</li>
<li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li>
<li>Background in domains such as healthcare, smart cities, or industrial AI.</li>
</ul>
<h4>Benefits</h4>
<ul>
<li>Work on practical, production-grade computer vision solutions.</li>
<li>Access to GPU infrastructure and modern AI tooling.</li>
<li>Collaborative, engineering-focused work environment.</li>
<li>Opportunities for growth and advanced AI exposure.</li>
<li>Competitive compensation package.</li>
</ul></p><p></p>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Generative AI developer (experience 1 to 2 years) Early-career AI/ML Engineer supporting the development and deployment of Generative AI solutions (LLMs, RAG systems). Focus on hands-on implementation, integration, and learning-by-delivery, under guidance.</p><p>Must Have:</p><ul><li>Strong foundation in Python (data handling, APIs, scripts)</li><li>Understanding of APIs, Docker, or deployment workflows</li><li>Exposure to deploying ML/AI models (even in projects/internships)</li><li>Understanding of embeddings, retrieval flow</li><li>Hands-on exposure through projects</li><li>Experience working with GPT/Llama APIs</li><li>Ability to structure prompts and evaluate outputs</li><li>Vector Databases (Exposure Level) - Familiarity with FAISS / Chroma / Pinecone and basic usage in projects.</li><li>ML Fundamentals: Core concepts - overfitting, evaluation metrics, basic algorithms. Ability to reason about model behavior.</li></ul><p>Core Responsibilities (Execution Under Guidance)</p><ul><li>Assist in building RAG-based GenAI solutions for enterprise use cases.</li><li>Develop Python-based services/APIs integrating LLMs.</li><li>Support data preprocessing, embeddings, and retrieval pipelines.</li><li>Contribute to model deployment and integration tasks.</li><li>Debug and improve existing pipelines under supervision.</li><li>Work closely with senior engineers to understand production constraints (latency, cost, accuracy)</li></ul><p>Good to Have</p><ul><li>LangChain / LlamaIndex exposure</li><li>Cloud basics (Azure / AWS / GCP)</li><li>Basic understanding of CI/CD or MLOps concepts</li><li>Internship/project experience in GenAI or ML use cases</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Must Have:</p><ul><li>Strong foundation in Python (data handling, APIs, scripts)</li><li>Understanding of APIs, Docker, or deployment workflows</li><li>Exposure to deploying ML/AI models (even in projects/internships)</li><li>Understanding of embeddings, retrieval flow</li><li>Hands-on exposure through projects</li><li>Experience working with GPT/Llama APIs</li><li>Ability to structure prompts and evaluate outputs</li><li>Vector Databases (Exposure Level) - Familiarity with FAISS / Chroma / Pinecone and basic usage in projects.</li><li>ML Fundamentals: Core concepts - overfitting, evaluation metrics, basic algorithms. Ability to reason about model behavior.</li></ul><p>Core Responsibilities (Execution Under Guidance)</p><ul><li>Assist in building RAG-based GenAI solutions for enterprise use cases.</li><li>Develop Python-based services/APIs integrating LLMs.</li><li>Support data preprocessing, embeddings, and retrieval pipelines.</li><li>Contribute to model deployment and integration tasks.</li><li>Debug and improve existing pipelines under supervision.</li><li>Work closely with senior engineers to understand production constraints (latency, cost, accuracy)</li></ul><p>Good to Have</p><ul><li>LangChain / LlamaIndex exposure</li><li>Cloud basics (Azure / AWS / GCP)</li><li>Basic understanding of CI/CD or MLOps concepts</li><li>Internship/project experience in GenAI or ML use cases</li></ul><p>Experience & Qualification</p><ul><li>Bachelor's in Computer Science / Data Science or related field.</li><li>12 years of experience in AI/ML (including internships and project work).</li><li>Exposure to at least one end-to-end ML/GenAI project (academic and professional).</li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>To provide comprehensive IT support in Salalah and surrounding grid stations by ensuring the availability, reliability, and performance of systems, network, hardware, and software, while upholding IT policies, security standards (ISO 27001), and exceptional customer service. Responsible for effective provisioning, installation/configuration, operation, and maintenance of systems hardware and software and related infrastructure. This individual participates in technical research and development to enable continuing innovation within IT. Must have good technical knowledge and be able to communicate effectively to understand the problem and explain its solution. Must also be customer-oriented and patient to deal with difficult users. This role requires proactive actions to anticipate and explore creative solutions for improved user experience. The Help Desk main role will entail remote troubleshooting, speaking with end users over the phone, occasionally supporting users onsite, escalating issues, updating tickets, maintaining documentation, and assisting our Network Administrators and Senior IT Engineers with their client work.</p><p>Provide first and second-level IT support to users and ensure timely resolution of incidents and service requests. Manage and monitor incidents, service requests, and changes through the approved IT Service Management (ITSM) platform. Install, configure, maintain, and support end-user devices, operating systems, software applications, and peripheral equipment. Troubleshoot and resolve hardware, software, network, and system-related issues to ensure business continuity. Perform routine maintenance, system updates, patch management, and health checks to ensure reliable IT operations. Support the administration of user accounts, access rights, and Microsoft 365 services in accordance with approved policies and procedures. Act as the primary IT focal point for Salalah regional offices, grid stations, and associated facilities. Provide onsite support to regional offices and grid stations and support other regions when required. Support the implementation, deployment, and maintenance of IT infrastructure, systems, and technology solutions within the region. Maintain accurate records of IT assets and ensure compliance with asset lifecycle management processes. Coordinate with vendors, contractors, and service providers to support operational and project-related activities. Ensure compliance with OETC ICT policies, standards, procedures, and information security requirements. Support cybersecurity initiatives, vulnerability remediation activities, and ISO/IEC 27001 compliance requirements. Participate in business continuity and disaster recovery activities, including testing and service restoration exercises. Prepare and maintain technical documentation, operational reports, and knowledge-base articles. Contribute to IT projects, technology initiatives, technical evaluations, and continuous improvement activities. Promote excellent customer service and maintain effective working relationships with users and stakeholders. Maintain required technical and HSE certifications and comply with safety requirements for accessing operational sites and grid stations. Travel to OETC locations across Oman as required to support operational, maintenance, and project activities. Perform any other duties assigned by management in support of ICT operations and organizational objectives.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Minimum Qualifications: Bachelor's Degree in Information Technology, Computer Science, Computer Engineering, Information Systems, or a related field. Professional Experience: Minimum of 3 5 years of experience in IT support, service desk operations.</p><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><br><ul><li><p>Manage and administer security tools: <strong>SIEM, EDR, NGFW, WAF, IAM, PAM, DLP, IDS/IPS, VPN</strong></p></li><li><p>Monitor security alerts and ensure <strong>24/7 threat detection</strong></p></li><li><p>Handle <strong>incident response and root cause analysis</strong></p></li><li><p>Perform <strong>vulnerability management (scanning, patching, remediation)</strong></p></li><li><p>Maintain <strong>SOPs, reports, and documentation</strong></p></li></ul><p><strong>Required Skills</strong></p><ul><li><p>Hands-on experience with <strong>SIEM tools (Splunk / QRadar / ArcSight)</strong></p></li><li><p>Experience with <strong>EDR/XDR & Firewalls (Palo Alto / Fortinet / Cisco)</strong></p></li><li><p>Strong knowledge of <strong>SOC operations & incident handling</strong></p></li></ul><br><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>CISSP / CISM / CEH / CCNP Security / Vendor Certifications</p><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>Apprenti-e data engineer F/H F/H</p><br><br><p>Alternance</p><br><br><p>2 ans</p><br><br><p>Etudiant</p><br><br><p>Temps partiel</p><br><br><p>Au sein du département Fleet Data Engineering, le secteur « Fleet Data Science » collecte et analyse les données de fonctionnement, d'opérations et de maintenance des moteurs civils Safran Aircraft Engines. L'équipe « Fleet data Science » s'occupe particulièrement de la modélisation de la fiabilité des moteurs en exploitation. <br>L'équipe est responsable de différents outils qui exploitent les données et qui sont déployés sur différents environnements (on premise et cloud). <br>En tant qu'apprenti-e data engineer, le-la candidat-e aura pour missions : <br>Support au développement de pipelines de données (ETL/ELT) sur AWS (S3, Glue, EMR, Redshift…) et sur des VM on premise <br>Construction et maintenance des modèles et entrepôts de données <br>Optimisation des traitements & automatisation des workflows (CI/CD) <br>Application des bonnes pratiques (qualité, sécurité, scalabilité, RGPD) <br>Collaboration avec les équipes IT et métiers </p><br><br><p>Des avantages proposés : accord télétravail, salle de sport, conciergerie, restauration collective, avantages CSE et couverture frais de santé. <br>Sites accessibles : transport en commun et/ou navettes </p><br><br><p>Etudiant-e en data engineering ou informatique, en recherche d'apprentissage après au minimum BAC+2. Vous avez des connaissances en Python, SQL, pySpark, CI/CD, Airflow, AWS. </p><br><br><br> </div>
<p><strong>Position Summary</strong></p><p>The Site Engineer will be responsible for the day-to-day execution, management, and supervision of potable water pipeline construction activities. </p><p>The successful candidate must demonstrate the ability to operate independently on-site, managing field resources, tracking daily progress, and overcoming construction challenges with minimal supervision. </p><p>This role requires seamless communication and reporting to the Project Manager to ensure project deliverables are achieved safely, on schedule, within scope, and in strict compliance with engineering specifications.</p><p><strong>Key Responsibilities</strong></p><p>Site Management & Execution</p><ul><li>Supervise and drive the daily construction activities of potable water pipeline installations, including excavation, pipe laying, jointing, thrust block construction, backfilling, and compaction.</li><li>Manage onsite sub-contractors, laborers, plant machinery, and material resources individually to ensure efficient field workflows.</li><li>Conduct field inspections to verify that all work aligns with approved engineering drawings, method statements, and structural parameters.</li><li>Direct pressure testing, hydrotesting, flushing, and disinfection protocols for newly laid potable water pipelines before commissioning.</li></ul><p>Reporting & Project Coordination</p><ul><li>Coordinate closely with the Project Manager to track project timelines, resource allocations, and budget milestones.</li><li>Generate and submit precise daily, weekly, and monthly site progress reports, documenting work completed, delays, equipment utilization, and labor hours.</li><li>Act as the primary onsite point of contact, resolving field issues independently while escalating complex variations or delays to the Project Manager immediately.</li><li>Liaise with client representatives, consultants, and local authorities during routine site inspections and quality sign-offs.</li></ul><p>Quality Assurance & Safety Compliance</p><ul><li>Maintain strict quality control metrics over all incoming pipeline materials, ensuring proper handling and storage of pipes, valves, and fittings.</li><li>Implement and enforce all company Health, Safety, and Environment (HSE) policies onsite, targeting zero incidents.</li><li>Ensure accurate site surveying, alignment verification, and the preservation of levels as dictated by the design specifications.</li></ul><p><strong>Requirements & Qualifications</strong></p><p>Experience & Education</p><ul><li><strong>Minimum Experience:</strong> 5+ years of verified site engineering experience dedicated to pipeline infrastructure works, specifically focused on potable water transmission and distribution networks.</li><li><strong>Education:</strong> Bachelor’s Degree or Diploma in Civil Engineering, Mechanical Engineering, or a closely related construction discipline.</li><li><strong>Technical Knowledge:</strong> Deep familiarity with water pipeline materials (such as DI, HDPE, PVC, and Carbon Steel), jointing techniques, valve chambers, testing mechanisms, and standard utility standards.</li></ul><p>Key Competencies</p><ul><li><strong>Autonomy:</strong> Proven ability to manage a construction site individually, handle rapid decision-making under pressure, and drive productivity independently.</li><li><strong>Software Proficiency:</strong> Basic proficiency in AutoCAD for checking layout designs and MS Office (Excel, Word) for administrative reporting.</li><li><strong>Communication:</strong> Strong interpersonal and report-writing skills to build working relationships across sub-contractors and project executives.</li></ul><p>Preferred Assets (Added Advantage)</p><ul><li><strong>Driving License:</strong> Possession of a valid, active driving license is highly preferred and considered a significant advantage for field mobility across site segments.</li></ul>
<p> <strong>Position:</strong> Civil Engineer – Specialized in Earth Works</p><p><strong>Experience Required:</strong> Minimum <strong>5+ years in GCC</strong></p><p>(Earthwork, Infrastructure, Roads, and related projects)</p><p><strong>Eligibility Criteria</strong></p><ul><li>Bachelor’s Degree in Civil Engineering (or equivalent).</li><li>Proven expertise in <strong>earthworks, excavation, grading, compaction, and soil stabilization</strong>.</li><li>Strong knowledge of GCC construction standards and safety regulations.</li><li>Ability to lead site teams and coordinate with consultants/clients.</li><li>Excellent communication and project management skills.</li></ul><p><strong>✨ Benefits Offered</strong></p><ul><li>Attractive salary package (commensurate with experience).</li><li>Free food & accommodation.</li><li>Annual leave with return airfare.</li><li>Career growth opportunities within the organization.</li></ul>
<p><h4>Description</h4>
<p>The role</p>
<p>We are looking for a hands-on senior ML engineer to lead the development and operation of production-grade AI systems across LLMs, OCR, and voice. This role combines deep technical ownership with leadership of a high-performing team of junior engineers, as well as direct engagement with stakeholders to shape AI solutions.</p>
<p><strong>Responsibilities:</strong></p>
<ul>
<li>Lead and mentor a team of highly talented junior ML engineers through:<br>
• Code reviews, design reviews, and technical direction<br>
• Enforcement of strong software engineering and ML best practices</li>
<li>Design, deploy, and operate scalable AI systems with a focus on reliability and performance</li>
<li>Lead production deployment of LLMs and multimodal systems (RAG, OCR, voice)</li>
<li>Own <strong>model performance end-to-end</strong>, combining evaluation, observability, and hardware optimization:<br>
• Build evaluation pipelines (benchmarks, regression testing, LLM-as-judge)<br>
• Implement deep observability (tracing, latency, error tracking)<br>
• Optimize GPU utilization (multi-GPU serving, batching, quantization, memory tuning)<br>
• Continuously improve throughput, latency, and cost efficiency</li>
<li>Architect and manage GPU infrastructure:<br>
• Model serving, load balancing, and scaling strategies<br>
• Hardware-aware deployment and performance tuning</li>
<li>Build and maintain robust MLOps pipelines:<br>
• Model/version management, CI/CD, automated testing, and rollback strategies<br>
• Monitoring and feedback loops for continuous improvement</li>
<li>Engage directly with clients and stakeholders to:<br>
• Gather and clarify business requirements<br>
• Translate non-technical needs into well-defined technical problems<br>
• Communicate solutions, trade-offs, and progress through clear documentation, reports, and proposals</li>
<li>Contribute hands-on to system design, implementation, debugging, and production incident resolution</li>
</ul>
<p><strong>Requirements</strong></p>
<ul>
<li>Proven experience deploying LLMs in production</li>
<li>Strong experience with GPU-based inference and optimization</li>
<li>Solid backend engineering skills (Python, APIs, distributed systems)</li>
<li>Experience with MLOps and production ML systems</li>
<li>Experience with OCR/document AI and/or voice systems (STT/TTS)</li>
<li>Experience with Docker and Kubernetes</li>
<li>Strong understanding of modern AI architectures (RAG, vector DBs, agent workflows)</li>
<li>Experience mentoring or leading engineers</li>
<li>Strong communication skills with the ability to bridge business and technical domains</li>
</ul>
<p><strong>Nice to have:</strong></p>
<ul>
<li>Experience with open-weight models (Qwen, Llama, DeepSeek, Gemma)</li>
<li>Experience with on-prem / sovereign AI deployments</li>
<li>Experience with LoRA / fine-tuning</li>
<li>Multilingual or Arabic NLP experience</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>The role</p>
<p>We are looking for a hands-on senior ML engineer to lead the development and operation of production-grade AI systems across LLMs, OCR, and voice. This role combines deep technical ownership with leadership of a high-performing team of junior engineers, as well as direct engagement with stakeholders to shape AI solutions.</p>
<p><strong>Responsibilities:</strong></p>
<ul>
<li>Lead and mentor a team of highly talented junior ML engineers through:<br>
• Code reviews, design reviews, and technical direction<br>
• Enforcement of strong software engineering and ML best practices</li>
<li>Design, deploy, and operate scalable AI systems with a focus on reliability and performance</li>
<li>Lead production deployment of LLMs and multimodal systems (RAG, OCR, voice)</li>
<li>Own <strong>model performance end-to-end</strong>, combining evaluation, observability, and hardware optimization:<br>
• Build evaluation pipelines (benchmarks, regression testing, LLM-as-judge)<br>
• Implement deep observability (tracing, latency, error tracking)<br>
• Optimize GPU utilization (multi-GPU serving, batching, quantization, memory tuning)<br>
• Continuously improve throughput, latency, and cost efficiency</li>
<li>Architect and manage GPU infrastructure:<br>
• Model serving, load balancing, and scaling strategies<br>
• Hardware-aware deployment and performance tuning</li>
<li>Build and maintain robust MLOps pipelines:<br>
• Model/version management, CI/CD, automated testing, and rollback strategies<br>
• Monitoring and feedback loops for continuous improvement</li>
<li>Engage directly with clients and stakeholders to:<br>
• Gather and clarify business requirements<br>
• Translate non-technical needs into well-defined technical problems<br>
• Communicate solutions, trade-offs, and progress through clear documentation, reports, and proposals</li>
<li>Contribute hands-on to system design, implementation, debugging, and production incident resolution</li>
</ul>
<p><strong>Requirements</strong></p>
<ul>
<li>Proven experience deploying LLMs in production</li>
<li>Strong experience with GPU-based inference and optimization</li>
<li>Solid backend engineering skills (Python, APIs, distributed systems)</li>
<li>Experience with MLOps and production ML systems</li>
<li>Experience with OCR/document AI and/or voice systems (STT/TTS)</li>
<li>Experience with Docker and Kubernetes</li>
<li>Strong understanding of modern AI architectures (RAG, vector DBs, agent workflows)</li>
<li>Experience mentoring or leading engineers</li>
<li>Strong communication skills with the ability to bridge business and technical domains</li>
</ul>
<p><strong>Nice to have:</strong></p>
<ul>
<li>Experience with open-weight models (Qwen, Llama, DeepSeek, Gemma)</li>
<li>Experience with on-prem / sovereign AI deployments</li>
<li>Experience with LoRA / fine-tuning</li>
<li>Multilingual or Arabic NLP experience</li>
</ul></p><p></p>
<p><h4>Overview of the role:</h4>
<p>Ensuring overall customer satisfaction by providing excellent service experience, with optimum operational cost.</p>
<h4>What you will do:</h4>
<p><strong>Description of accountability:</strong></p>
<p><strong>Sales generation & target achievement:</strong></p>
<ul>
<li>Identify new and potential clients requiring AMC for air conditioning units (residential, commercial, and industrial).</li>
<li>Proactively pursue new leads through cold calls, site visits, references, and digital inquiries.</li>
<li>Convert expired or inactive clients into renewed AMC business through structured follow-up and negotiation.</li>
<li>Consistently meet or exceed assigned monthly and quarterly AMC sales targets.</li>
</ul>
<p><strong>Strategic client management:</strong></p>
<ul>
<li>Develop and maintain strong professional relationships with key decision-makers and facility managers.</li>
<li>Clearly explain AMC benefits, terms, and scope of work to ensure customer buy-in and prevent future disputes.</li>
<li>Handle escalations promptly and collaborate with the service team to ensure SLA compliance.</li>
</ul>
<p><strong>Payment collection & accountability:</strong></p>
<ul>
<li>Take complete ownership of AMC payment collections — from invoicing to closure.</li>
<li>Follow up rigorously on overdue payments and ensure zero aging beyond the defined credit period.</li>
<li>Work closely with accounts to resolve discrepancies and maintain accurate ledgers.</li>
</ul>
<p><strong>Daily reporting & CRM updates:</strong></p>
<ul>
<li>Submit structured daily reports covering:</li>
<ul>
<li>Number of client meetings and calls made</li>
<li>Leads generated and follow-up status</li>
<li>AMC quotations shared and orders secured</li>
<li>Collections made and outstanding issues</li>
</ul>
<li>Maintain up-to-date and accurate records.</li>
<li>Escalate any client or operational delays to management proactively.</li>
</ul>
<p><strong>Market intelligence & competitor awareness:</strong></p>
<ul>
<li>Continuously gather and report market data on competitor pricing, service gaps, and potential opportunities.</li>
<li>Suggest improvements in AMC offerings based on feedback and industry trends.</li>
</ul>
<h4>Required skills to be successful:</h4>
<ul>
<li>Customer-focused approach with quality orientation.</li>
<li>Effective communication and coordination skills.</li>
<li>Problem-solving and analytical ability.</li>
<li>Ability to manage multiple priorities and meet deadlines.</li>
</ul>
<h4>What equips you for the role:</h4>
<ul>
<li>8-10 years of experience in sales, client management preferably in consumer electronics and air conditioning field.</li>
<li>Diploma / graduation in relevant field.</li>
<li>Knowledge of English written and spoken.</li>
<li>Good customer handling skills.</li>
<li>Should have valid Oman driving license.</li>
<li>Knowledge of spoken Arabic language.</li>
</ul>
<p>We’re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish.</p>
<p>Before you click “apply”: Please read the job description carefully to ensure you can confidently demonstrate why this opportunity is right for you and take the time to put together a well-crafted and personalised CV to further boost your visibility. Our global talent acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our values of respect, integrity, collaboration, and excellence.</p>
<p>As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.</p>
<h4>Additional internal information:</h4>
<ul>
<li>Reports to: Manager</li>
<li>Band: E</li>
</ul>
<p><strong>Note:</strong></p>
<ul>
<li>You must have been an Al-Futtaim employee for at least 18 months in order to be considered.</li>
<li>You must inform your HRBP in confidence of your application.</li>
<li>Please note that this vacancy may be advertised externally in the next week so apply without delay.</li>
</ul></p><p></p>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Job title Logistics & Materials Engineer Grade Stream Upstream E&P Function Well Delivery Department Operated Asset Location Oman Muscat Budget control *OPEX and/or CAPEX and/or Revenue amount as relevant* Reporting to Well Delivery Support Manager Direct Reports - Job purpose The Materials & Logistics Engineer is responsible for planning, coordinating, and controlling materials and logistics activities to ensure that all required materials are available on time, meet technical and quality requirements, and support project schedules. The role supports drilling, workover, and well intervention operations by working closely with engineering, procurement, vendors, logistics providers, and site teams to ensure smooth project execution. The position will act in accordance with the Group s Mission, Vision, Values & Strategies, as well as, policies, guidelines and international standards, supported by an IT Technology platform, HSE standards, Omani s government & other legal justifications, and best international practices in consonance with national objectives. Main tasks and responsibilities Review material requisitions and technical specifications to ensure compliance with company and project standards. Coordinate with drilling and engineering teams to address technical queries, material substitutions, and deviations. Ensure materials are procured, stored, and handled according to approved specifications, procedures, and industry standards. Maintain accurate material traceability, certifications, and documentation throughout the supply chain. Support the technical evaluation of vendors and materials when required. Review scopes of work related to materials, inspection, transportation, and quality control to ensure alignment with oil and gas industry best practices. Coordinate material receiving, inspection, storage, preservation, and issuance activities. Plan and manage inbound and outbound logistics, including transportation, shipping, and customs clearance, in line with OPAL standards. Ensure timely delivery of materials to warehouses, yards, and project sites according to project schedules. Monitor inventory levels and support stock optimization to prevent shortages or excess materials. Ensure proper identification, tagging, and preservation of materials to avoid damage or deterioration. Support periodic inventory audits and reconciliation processes. Interface with procurement, contracts, QA/QC, drilling, construction, and operations teams. Prepare and provide materials and logistics status reports to project management. Support expediting activities to ensure vendors and logistics providers meet agreed milestones. Participate in project planning and coordination meetings related to materials and logistics. Coordinate with well delivery team members to identify critical materials that must be prioritized for transportation. Ensure all activities comply with company supply chain policies, HSSE requirements, and quality management systems. Identify opportunities to improve logistics efficiency, material handling processes, and cost effectiveness. Ensure hazardous and non-hazardous materials are correctly labeled, packaged, and returned to base in accordance with environmental regulations. Contribute to lessons learned and continuous improvement initiatives. Use materials management and inventory systems to track material orders, consumption, and stock levels in real time. Key interactions Internal: Upstream External : Notable Working Conditions. Office environment, intensive computer screen use, sporadic visits to operation site, traveling, when possible and needed.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Education requirements Minimum qualification is a bachelor s degree in mechanical engineering or equivalent. Language Excellent knowledge of written, read, and spoken English (required) Background and experience Competencies and skills 5+ years relevant experience in similar role Understanding of materials management and drilling procedures. Working knowledge of Microsoft, Excel, Power Point, Word and materials/logistics management software Soft: Attention to detail and high level of accuracy. Able to lead discussions credibly and effectively negotiate resolutions. Previous experience working with a diversified workforce, with good people skills Highly organized, detail-oriented and able to work independently. Strong Communication skills and coordination skills (including verbal and written). Analytical and problem solving skills. Technical: Very good knowledge in using material management software. Excellent business and technical report writing skills Deep working understanding of material management and operations Planning and Reporting skills.</p><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Apply reservoir engineering & Simulation to the subsurface development ABB Development, by (1) Conducting workflows pertaining to reserves maturation, well testing, field development planning update reservoir management strategies, (2) Monitor a range of activities, including well surveillance, fluid sampling, well testing and completion operations, (3) Work and support with multi-disciplinary team to apply reservoir engineering practices to reservoir management, well test design and analysis, reservoir simulation, reserves evaluation & estimation, and (4) Directing lab workflows, managing lab data, working PVT data analysis (with internal and external PVT reports), developing EoS models & BOT, developing final report, and presenting post project reviews with BUs. The position will act in accordance with the Group s Mission, Vision, Values & Strategies, as well as, policies, guidelines and standards, supported by an IT Technology platform, HSE standards, Omani s government & other legal justification s, and best international practices in consonance with national objectives. Main tasks and responsibilities: Provide guidance to support the Manager ABB Development in achieving desired performance objectives. Guide Manager ABB Development & Reservoir Team to aid in maintaining high technical standards Guide on development plans / programs as required by the Manager ABB Development Guide on fluid characterization studies for understanding fluid distribution in the field Guide on analysis and interpretation of RFT / MDT data as required Participate in integrated field studies for maturing hydrocarbon resources Evaluate well/reservoir performance and recommend production improvement opportunities Guide on RE input to business planning, reserve evaluation and well proposals Work with other disciplines on hydrocarbon maturation to further develop the asset Evaluate well/reservoir performance and recommend production improvement opportunities Provide RE input to business planning, reserve evaluation and well proposals Participate in integrated field studies Work with other disciplines on hydrocarbon maturation to further develop the asset Coach and mentor early career professionals Participate in integrated field studies for maturing hydrocarbon resources Key interactions Internal: Subsurface Development & Exploration / Well Delivery / Facilities / Operations / Supply Chain External: Contractors, Technical Committees Notable Working Conditions. Field operations and o ffice environment, computer screen use. Education requirements Bachelor s degree in Petroleum Engineering or equivalent Language requirements Excellent knowledge of written, read, and spoken English (required) - Arabic - Native (desirable) Background and experience Competencies and skills 10+ years experience in Reservoir Engineering within Oil & Gas industry Proficiency in industry standard reservoir engineering packages such as Kappa Saphire, OFM, Eclipse Experience with reservoir management Experience with reservoir simulation Good understanding of production operations and completion procedures Experience in tight gas reservoirs is a plus Experience in working with multi-disciplinary team role Soft: Leading multidisciplinary integrated teams and contribution to exploration opportunity risking and ranking. Has participated or contributed to technical reviews, audits and preparation of Field Development Plans Self-starter with the ability to multi task while maintaining priorities Technical: Computer literacy including MS Office Project Management skills</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>10+ years experience in Reservoir Engineering within Oil & Gas industry</li><li>Proficiency in industry standard reservoir engineering packages such as Kappa Saphire, OFM, Eclipse</li><li>Experience with reservoir management</li><li>Experience with reservoir simulation</li><li>Good understanding of production operations and completion procedures</li><li>Experience in tight gas reservoirs is a plus</li><li>Experience in working with multi-disciplinary team role</li><li>Soft: Leading multidisciplinary integrated teams and contribution to exploration opportunity risking and ranking.</li><li>Has participated or contributed to technical reviews, audits and preparation of Field Development Plans</li><li>Self-starter with the ability to multi task while maintaining priorities</li><li>Technical: Computer literacy including MS Office</li><li>Project Management skills</li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><br></p><p><br></p><p>Handle quantity surveying, cost control, BOQs, variation orders, claims, and progress measurement for multi-discipline works.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Degree/Diploma in Civil/Mechanical Engineering with 12 to 15 years (GCC preferred)</p><p></p></section>