Artificial Intelligence Engineer Jobs in Oman

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Deliver undergraduate and postgraduate courses in Artificial Intelligence, Machine Learning, NLP, Programming (Python &amp; C++), and Web Development.</p> <ul> <li>Develop and update course materials, assessments, and laboratory exercises aligned with industry trends.</li> <li>Supervise student projects, including capstone projects, AI-based applications, and research initiatives.</li> <li>Engage in research, publication, and innovation activities in AI/ML and related domains.</li> <li>Provide academic advising and mentorship to support student success and career development.</li> <li>Participate in curriculum development, accreditation (OQF), and quality assurance activities.</li> <li>Collaborate with industry partners to incorporate real-world applications and emerging technologies into teaching.</li> </ul> <p><strong>FURTHER REQUIREMENTS</strong></p> <ul> <li>Clear teaching philosophy focused on fostering critical thinking, inclusivity, and lifelong learning</li> <li>A strong commitment to teaching excellence and student-centered learning</li> <li>Ability to integrate theoretical knowledge with practical cybersecurity applications</li> <li>Engagement in interdisciplinary collaboration and innovation.</li> <li>Effective communication skills, as all teaching and academic activities are conducted in English</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>PhD in Artificial Intelligence, Machine Learning</p> <p>More than 6 years of Teaching experience and additional Industrial experience</p> <p>Proficiency in b&gt;English /b&gt; is a must.</p> <p>Must have strong specialization in Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP). Proficiency in Python programming, Object-Oriented Programming (OOP) using C++, and modern software development practices.</p> <p> Professional Qualification</p> <ul> <li>TensorFlow Developer Certificate,</li> <li>Microsoft Certified Azure AI Engineer Associate,</li> <li>IBM AI Engineering Professional Certification etc.</li> </ul> <p>First Preference:</p> <p>Omani candidate</p><p></p></section>

<p>An international company based at Oman into Port shipping industry Port Construction Site Supervision Team We are hiring for multiple requirements for Oman location, please find the requirements below. 1 Resident Engineer 2 Breakwater Engineer 3 Jetties Engineer 4 Yard &amp; Infrastructure Engineer 5 Buildings Engineer 6 Material Handling System Expert 7 Electrical Engineer 8 Quarry Engineer (to ensure proper quality and gradation of rock supplied for the breakwater in accordance with the design requirements) Mine Development Design Review &amp; Site Supervision Team 9 Resident Engineer 10 Mechanical Engineer (Crusher) 11 Civil Engineer 12 Electrical Engineer Additional Supporting Staff 13 Hydrographic Surveyor / Quantity Surveyor 14 Billing Engineer (for verification and certification of the Contractor's monthly payment applications) 15 QA/QC Technicians 16 Underwater Inspector 17 Environmental &amp; Social Officer 18 Document Controller This job is renewable for 2 years. Salary : Omani Rial 1200 - 1300 per month (In Indian Rs. 3,00,000 - 3,25,000 per month)</p><p><strong>Desired Candidate Profile</strong></p><p>1. Candidate with engineer back ground.<br>2. Willing to work in port industry</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Seeking a Researcher in Artificial Intelligence with a PhD in Artificial Intelligence, Computer Science with specialization in AI, Machine Learning, Data Science, or Computer Engineering with AI specialization and a minimum of 5 years post-PhD experience. The ideal candidate will demonstrate a strong track record of publishing research findings, experience in funded projects, interdisciplinary knowledge, and proficiency in project management.</p> <p>Lead research in Artificial Intelligence, Machine Learning, Data Science and smart and autonomous systems for knowledge growth. </p> <p> Teach two courses each semester as per UoB policy. </p> <p> Manage projects, secure funding, and publish findings. </p> <p> Foster partnerships with industry and other academic institutions for research impact.</p> <p>Contribute to academic committees and activities. </p> <p> Mentor students and collaborate for excellence.</p> <p> Supervise student research projects.</p> <p>PhD in the field of artificial Intelligence, Computer Science with specialization in AI, Machine or deep Learning, Data Science, or Computer Engineering with AI specialization </p> <p> Minimum of 5 years Post PhD experience </p> <p>Demonstrated track record of publishing research findings in top-ranked journals. Experience in working on funded research projects. </p> <p> Research Skills: Strong research capabilities </p> <p> Interdisciplinary Knowledge: A broad understanding of interdisciplinary concepts and frameworks relevant to generative AI, machine learning, deep learning, data science, robotics, computer vision, autonomous systems, intelligent systems. </p> <p> Project Management: Proficiency in project management, including the ability to plan, organize, and prioritize tasks effectively to meet project deadlines and objectives.</p> <p><br></p> <p> </p></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>S/he will be responsible for ensuring that curriculum management and enhancement activities comply with the standards set by the Omani accreditation authorities, such as the Oman Academic Accreditation Authority (OAAA). In addition to teaching, the post-holder will contribute to supervising UG final-year projects, PG dissertations, AI and machine learning competitions, and research-related activities.</p> <p><strong>Key Responsibilities</strong></p> <ul> <li>Deliver high-quality teaching experience for the undergraduate and graduate Transport and Logistics Management programs, with a focus on AI, machine learning, and data-driven tools.</li> <li>Construct, plan, and assess student assignments.</li> <li>Liaise with the Faculty Dean on all student matters, including timetabling, academic, and technical support.</li> <li>Undertake the role of Academic Advisor/Personal Tutor.</li> <li>Undertake research and scholarly activity with a view to publishing in quality international academic journals.</li> <li>Engage with external maritime and logistics bodies and industry to enrich the student experience, including visiting students on industrial placements.</li> <li>Engage with the external community and stakeholders to promote the Sustainable Development Goals (SDGs) agenda)</li> <li>Participate in university meetings and events, including Board of Examiners, Programme Reviews, Planning and Monitoring Committees, and Staff/Student Liaison.</li> <li>Maintain flexible working patterns which may include some evening and weekend work in support of Programme/Faculty/University business.</li> <li>Actively engage with businesses, professional bodies, port authorities, and shipping companies; organize student outreach and invite industry speakers to enhance student experience.</li> <li>Any other duties as deemed necessary by the Dean.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>To be appointed to the rank of Assistant Professor, the candidate must hold a PhD in Artificial Intelligence, machine learning, data science, AI applications in logistics and supply chain, or a closely related field. A minimum of 2 years of experience in Higher Education (HE) teaching is required.</p> <p>We acknowledge, understand, and embrace diversity and expect joining faculty to display and apply the same principles.</p> <p><strong>Qualifications, Experience &amp; Competencies:</strong></p> <ul> <li>Master s in Artificial Intelligence, Computer Science, Data Science, or a closely related area for the Lecturer rank. PhD (or equivalent) in Artificial Intelligence, Machine Learning, or a closely related field. Professional qualifications and/or memberships in recognized AI or computing bodies for the Assistant Professor rank.</li> <li>Ability to communicate with clarity on complex &amp; conceptual ideas to those with limited knowledge &amp; understanding, and to peers, using high-level skills &amp; a range of media.</li> <li>Ability to think critically and promote innovation and creativity.</li> <li>Demonstrates competencies, core behaviours, and supplementary behaviours that support and promote the University s core values.</li> <li>Committed to ensuring a high-quality student experience.</li> <li>One to two years of experience in teaching modules in Sustainable Shipping, Maritime Transport, or a closely related field in Higher Education.</li> <li>Experience in the Omani and GCC HE environments. Strong links to the maritime and sustainability industry. Academic accreditation or quality assurance experiences. Experience with sustainability frameworks such as the IMO 2050 strategy or GHG reduction targets.</li> </ul><p></p></section>

<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 &amp; Responsibilities</p><div class="paragraph"><div> <div> <div> <p><br></p> <p> </p> <p> <b>1. Purpose of the Position</b> </p> <p>Muscat University seeks to expand<br>its Faculty of Transport &amp; Logistics by appointing a Lecturer in Artificial<br>Intelligence. Applications are welcome from candidates with experience in<br>teaching and research across a range of disciplines, including, but not limited<br>to, artificial intelligence, machine learning, data science, AI applications in<br>logistics and supply chain, and intelligent transportation systems.</p> <p>With an ethos of providing<br>exceptional student experience, the post holder will work with the Faculty<br>Director to ensure efficient and effective delivery of modules. S/he will be<br>responsible for teaching modules such as: Artificial Intelligence in Logistics;<br>Machine Learning for Supply Chain; Data Analysis for Logistics; Supply Chain<br>Decision Support and Analysis; AI-Driven Transportation Systems; and Predictive<br>Analytics in Freight Management.</p> <p>S/he will be responsible for<br>ensuring that curriculum management and enhancement activities comply with the<br>standards set by the Omani accreditation authorities, such as the Oman Academic<br>Accreditation Authority (OAAA). In addition to teaching, the post-holder will<br>contribute to supervising UG final-year projects, PG dissertations, AI and<br>machine learning competitions, and research-related activities.</p> <p>To be appointed to the rank of<br>Assistant Professor, the candidate must hold a PhD in Artificial Intelligence,<br>machine learning, data science, AI applications in logistics and supply chain,<br>or a closely related field. A minimum of 2 years of experience in Higher<br>Education (HE) teaching is required.</p> <p> We acknowledge, understand,<br>and embrace diversity and expect joining faculty to display and apply the same<br>principles.<br></p> <p> <b>Key Responsibilities</b> </p> <ul> <li> Deliver high-quality<br>teaching experience for the undergraduate and graduate Transport and Logistics<br>Management programs, with a focus on AI, machine learning, and data-driven<br>tools.</li> <li>Construct, plan, and assess<br>student assignments.</li> <li>Liaise with the Faculty<br>Dean on all student matters, including timetabling, academic, and technical<br>support.</li> <li>Undertake the role of<br>Academic Advisor/Personal Tutor.</li> <li>Undertake research and<br>scholarly activity with a view to publishing in quality international academic<br>journals.</li> <li>Engage with external<br>maritime and logistics bodies and industry to enrich the student experience,<br>including visiting students on industrial placements.</li> <li>Engage with the external<br>community and stakeholders to promote the Sustainable Development Goals (SDGs)<br>agenda)</li> <li>Participate in university<br>meetings and events, including Board of Examiners, Programme Reviews, Planning<br>and Monitoring Committees, and Staff/Student Liaison.</li> <li>Maintain flexible working<br>patterns which may include some evening and weekend work in support of<br>Programme/Faculty/University business.</li> <li>Actively engage with<br>businesses, professional bodies, port authorities, and shipping companies;<br>organize student outreach and invite industry speakers to enhance student<br>experience.</li> <li> Any other duties as deemed<br>necessary by the Dean.<br></li> </ul> <p> <strong> <b>Any other duties as deemed necessary by the Line Manager.</b> </strong> </p> <p> <b> <b>Qualifications, </b>Experience &amp; Competencies:</b> </p> <ul> <li>Master s in Artificial Intelligence, Computer Science, Data<br>Science, or a closely related area for the Lecturer rank. PhD (or equivalent) in Artificial<br>Intelligence, Machine Learning, or a closely related field. Professional<br>qualifications and/or memberships in recognized AI or computing bodies for the<br>Assistant Professor rank. </li> <li>Ability to communicate with<br>clarity on complex &amp; conceptual ideas to those with limited knowledge &amp;<br>understanding, and to peers, using high-level skills &amp; a range of media.</li> <li>Ability to think critically<br>and promote innovation and creativity.</li> <li>Demonstrates competencies,<br>core behaviours, and supplementary behaviours that support and promote the<br>University s core values.</li> <li>Committed to ensuring a<br>high-quality student experience.</li> <li>One to two years of experience in<br>teaching modules in Sustainable Shipping, Maritime Transport, or a closely<br>related field in Higher Education. </li> <li> Experience in the Omani and<br>GCC HE environments. Strong links to the maritime and sustainability industry.<br>Academic accreditation or quality assurance experiences. Experience with<br>sustainability frameworks such as the IMO 2050 strategy or GHG reduction targets.<br></li> </ul> <p> <b>While we value the interest shown by every applicant, we are able to respond only to short-listed candidates. </b> </p> <p>* The job description may be altered at any time in the future in line with the level of the post to meet changing institutional requirements, but only in full consultation with the post-holder.</p> <p>Applicants are required to submit a current CV and a cover letter outlining their suitability for the position. The cover letter should clearly highlight their academic qualifications, teaching and research experience in a higher education environment, areas of teaching interest and expertise, and their motivation for applying to Muscat University.</p> <p><br></p></div></div></div><div><div><div><div> <p></p></div></div></div></div></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Deliver pipeline engineering design across Project Delivery under the Mechanical Engineering Manager, covering Concept, Pre-FEED, FEED, Detailed Design, and EPC phases for cross-country and in-plant pipeline systems. The role ensures safe, optimized, and fit-for-purpose designs in full compliance with OQEP standards, asset requirements, and international codes.</p><p>Act as the technical authority for pipeline engineering, ensuring technical integrity of all deliverables and providing expert input to key design decisions across the project lifecycle. The position supports complex pipeline systems, including large-diameter and long-distance networks and interfaces closely with Field Urban planning, Projects, procurement, construction, commissioning, operation and integrity teams to ensure design intent is maintained through to project closeout.</p><p>The position will act in accordance with the OQEP s Mission, Vision, Values &amp; Strategies, as well as, policies, guidelines, and international standards, supported by an IT Technology platform, QHSE &amp; Energy Management System requirements standards, Omani s government &amp; other legal justifications, and best international practices in consonance with national objectives.</p><p><strong>Main tasks and responsibilities</strong></p><ul><li>Execute pipeline engineering design across Concept, Pre-FEED, FEED, Detailed Design, and EPC phases, ensuring alignment with project scope, schedule, and technical requirements.</li><li>Lead and coordinate pipeline engineering activities, ensuring timely and high-quality delivery of all design outputs.</li><li>Act as technical authority in pipeline engineering, providing guidance on design decisions, standards application, and resolving complex technical issues.</li><li>Ensure the engineering deliverables generated by Contractor meet project requirement in term of technical content and follow project procedures such as engineering plan, quality plan, document numbering, level of approval,</li><li>Develop and review key deliverables including pipeline layouts, plot plans, GA drawings, alignment sheets, isometrics, hydrotest diagrams, HDD profiles, crossing drawings, and station approach drawings.</li><li>Prepare and review Pipeline Design Basis, Stress Analysis Philosophy, stress analysis report, route selection reports and all related design calculations including wall thickness, Road crossing and upheaval buckling calculations.</li><li>Perform and review pipeline routing, alignment optimization, and feasibility studies including constructability and cost considerations.</li><li>Ensure compliance with Company design specifications, international design codes and standards including ASME B31.4, B31.8, B31.3, API, ISO, ASTM standards, and other applicable codes.</li><li>Design and review pipelines across various materials including Carbon Steel (CS), DSS, GRE, HDPE, PE-lined systems, and LLRTP.</li><li>Prepare material specifications, datasheets, RFQs, and support technical bid evaluations (TBE) and vendor document reviews (VDR) for all pipeline and piping items</li><li>Review and Develop construction specifications, scope of work for pipeline Engineering, route surveys, and interfaces</li><li>Coordinate with vendors, and multidisciplinary teams to ensure design compliance and alignment with project requirements.</li><li>Analyze pipeline engineering deliverables and actively participate in design reviews, HAZOPs, and technical workshops.</li><li>Identify and resolve technical challenges during FEED and detailed design, including urban planning studies and system modifications/upgrades.</li><li>Support end-to-end project execution including design engineering, resource planning, cost estimation, and activity Phasing.</li><li>Support urban planning, projects, procurement, construction, commissioning, operation and intergrity teams by providing technical clarifications and resolving site queries.</li><li>Conduct or support site visits, inspections, and mechanical walk-downs to ensure design accuracy and implementation compliance.</li><li>Identify gaps in standards, tools, and practices, and contribute to continuous improvement initiatives.</li><li>Ensure adherence to QHSE requirements and promote a strong safety culture across all engineering activities.</li><li>Report safety concerns or deviations and ensure compliance with company procedures.</li><li>Mentor and develop junior pipeline engineers by providing technical guidance, reviewing their work, and supporting their progression in design practices, standards, and tools.</li><li>Perform other related duties as required.</li></ul><p><strong>Key interactions</strong></p><ul><li>Internal: Projects, Operation, Integrity</li><li>External: Consultants, Contractors, Vendors</li></ul><p><strong>Notable Working Conditions.</strong> office environment, Moderate to intensive computer screen use.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>The minimum qualification is a Bachelor s degree in Mechanical Engineering, or related.</p><p>Excellent knowledge of written, read, and spoken English (required) | Arabic - Native (desirable)</p><p>Lead Engineer Bachelor 8+ years of relevant experience</p><p>Both:</p><p>Pipeline experience in similar projects is mandatory.</p><p>Pipeline offshore experience is favorable.</p><p>On plot piping experience is favorable.</p><p>Soft:</p><p>To work collaboratively with all involved.</p><p>Adaptable and motivated general management strategist who relishes challenges</p><p>Excellent interpersonal skills and multi-cultural sensitivity.</p><p>Technical:</p><p>Computer literate with expertise in MS Office.</p><p>Experienced in resource control, contract management and general management.</p><p>AutoCad, Naviswork</p><p></p></section>

<p><h4>Qualifications & Experience</h4> <p><strong>Qualification:</strong> Engineering degree in Mechanical Engineering.</p> <p><strong>Experience:</strong> Minimum 12 years' experience as Rotating Engineer in the oil and gas industry.</p> <p>Experience as Rotating Engineer in projects involving gas turbines and compressors.</p> <p>Strong leadership skills and good communication skills.</p> <p>Good analytical skills.</p> <p>Familiarity with Total general specifications is a plus, along with relevant codes and standards.</p> <p><strong>Language:</strong> Fluent English.</p> <p>Ability to work on projects in a complex and multicultural environment.</p> <h4>Activities</h4> <ul> <li>Identify Rotating Engineering technical decisions to be made. Define and manage a clear way forward for these decisions and report to the Package Manager.</li> <li>Work with the weight control engineer and engineering team to ensure close weight monitoring and control.</li> <li>Ensure close coordination with other disciplines on all engineering, constructability, and operational matters.</li> <li>Ensure that relevant feedback and lessons learned from previous similar projects are considered.</li> <li>Support fabrication and construction engineering by reviewing engineering documents, approving modifications, reviewing non-conformities, and assisting in closure of punch lists.</li> <li>Support the construction group by ensuring all mechanical rotating equipment and its auxiliaries are installed correctly as per standards, properly supported, aligned, and leveled according to design requirements.</li> <li>Support expediting closure of punch lists by following up with relevant parties from the contractor and/or vendor.</li> <li>Support the project during installation and hookup stages by reviewing and approving work packs and reviewing red marks.</li> <li>Ensure closure of mechanical rotating engineering dossiers consisting of contractor and vendor deliverables in a timely manner as per project requirements.</li> <li>Ensure project documents related to the Mechanical Rotating Engineering discipline are reviewed and commented on in a timely manner and in accordance with company standards, project specifications, and contractual requirements.</li> <li>Coordinate and issue project responses to contractors' and vendors' requests on engineering design clarifications and technical query reports (TQR).</li> <li>Identify potential deviations and derogations to the company and assist in preparation of deviation packages.</li> <li>Review and approve deviation and concession requests from contractors and/or vendors, aligned with the company Technical Referential Person (TRP).</li> <li>Consult the Engineering & Construction department to process derogation requests and interface with relevant TRPs to secure needed approvals.</li> <li>Review and expedite final project documentation including final dossiers and as-built drawings.</li> <li>Support the commissioning execution phase related to the rotating equipment and package.</li> <li>Follow the execution of mechanical commissioning activities to achieve commissioning schedule completion targets.</li> <li>Supervise commissioning execution to ensure all technical and contractual information is properly recorded, collected, and available for inspection and reference as required by law, regulations, and company policies.</li> <li>Control and follow up on vendors' commissioning scope of work activities such as site acceptance tests (SAT), operational test procedures (OTP), document updates, closing of punch lists, and reporting.</li> </ul></p><p></p>

<p><h4>Qualifications & Experience</h4> <p><strong>Qualification:</strong> Engineering degree in Mechanical Engineering.</p> <p><strong>Experience:</strong> Minimum 12 years' experience as Rotating Engineer in the oil and gas industry.</p> <p>Experience as Rotating Engineer in projects involving gas turbines and compressors.</p> <p>Strong leadership skills and good communication skills.</p> <p>Good analytical skills.</p> <p>Familiarity with Total general specifications is a plus, along with relevant codes and standards.</p> <p><strong>Language:</strong> Fluent English.</p> <p>Ability to work on projects in a complex and multicultural environment.</p> <h4>Activities</h4> <ul> <li>Identify Rotating Engineering technical decisions to be made. Define and manage a clear way forward for these decisions and report to the Package Manager.</li> <li>Work with the weight control engineer and engineering team to ensure close weight monitoring and control.</li> <li>Ensure close coordination with other disciplines on all engineering, constructability, and operational matters.</li> <li>Ensure that relevant feedback and lessons learned from previous similar projects are considered.</li> <li>Support fabrication and construction engineering by reviewing engineering documents, approving modifications, reviewing non-conformities, and assisting in closure of punch lists.</li> <li>Support the construction group by ensuring all mechanical rotating equipment and its auxiliaries are installed correctly as per standards, properly supported, aligned, and leveled according to design requirements.</li> <li>Support expediting closure of punch lists by following up with relevant parties from the contractor and/or vendor.</li> <li>Support the project during installation and hookup stages by reviewing and approving work packs and reviewing red marks.</li> <li>Ensure closure of mechanical rotating engineering dossiers consisting of contractor and vendor deliverables in a timely manner as per project requirements.</li> <li>Ensure project documents related to the Mechanical Rotating Engineering discipline are reviewed and commented on in a timely manner and in accordance with company standards, project specifications, and contractual requirements.</li> <li>Coordinate and issue project responses to contractors' and vendors' requests on engineering design clarifications and technical query reports (TQR).</li> <li>Identify potential deviations and derogations to the company and assist in preparation of deviation packages.</li> <li>Review and approve deviation and concession requests from contractors and/or vendors, aligned with the company Technical Referential Person (TRP).</li> <li>Consult the Engineering & Construction department to process derogation requests and interface with relevant TRPs to secure needed approvals.</li> <li>Review and expedite final project documentation including final dossiers and as-built drawings.</li> <li>Support the commissioning execution phase related to the rotating equipment and package.</li> <li>Follow the execution of mechanical commissioning activities to achieve commissioning schedule completion targets.</li> <li>Supervise commissioning execution to ensure all technical and contractual information is properly recorded, collected, and available for inspection and reference as required by law, regulations, and company policies.</li> <li>Control and follow up on vendors' commissioning scope of work activities such as site acceptance tests (SAT), operational test procedures (OTP), document updates, closing of punch lists, and reporting.</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Drilling Product Engineer is responsible for assisting the PSD team to deliver safe, efficient, and reliable product and service delivery for our customers. The WEC Drilling Product Engineer develops and delivers optimized technical job designs for the area of responsibility. This person identifies opportunities for continuous improvement of service delivery and formally communicate findings, and supports the Business Line(s) in risk management and apply lessons learned to improve job design. The WEC Drilling Product Engineer provides real-time support to PSD operations as required, and is responsible for the COSD (i.e. resource consumption). Develop technical job designs as required for the Business Line(s). Identify areas where new and cost-effective techniques can be applied. Explore opportunities for value-added products and services. Provide technical support throughout the service delivery process. Understand and communicate value of technology and interpretations. Consult with relevant subject matter experts as required to optimize the technical design. Support the OU PSD and/or PSD Manager in the execution phase with design changes as required due to changes in job dimensions, resource availability, service quality incidents, etc. Assist in incident response, recovery, and incident investigation. Support multiple Business Line(s) operations in a collaborative optimized job design. Assist sales and commercial team in evaluating technical viability and tenders. Analyze job execution vs. design and formally capture design improvements and optimization opportunities (lessons learned and best practices).</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s degree in Engineering or Geoscience.</li><li>Strong technical competency in Drilling Downhole Products such (Bits, Jars, Reamers, Stabilizers...etc)</li><li>Strong technical competency in BHA design.</li><li>Minimum of 5 years of experience in similar roles.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>The Drilling Product Engineer is responsible for assisting the PSD team to deliver safe, efficient, and reliable product and service delivery for our customers. The WEC Drilling Product Engineer develops and delivers optimized technical job designs for the area of responsibility. This person identifies opportunities for continuous improvement of service delivery and formally communicate findings, and supports the Business Line(s) in risk management and apply lessons learned to improve job design. The WEC Drilling Product Engineer provides real-time support to PSD operations as required, and is responsible for the COSD (i.e. resource consumption).</p><br><ul><li>Develop technical job designs as required for the Business Line(s).</li><li>Identify areas where new and cost-effective techniques can be applied.</li><li>Explore opportunities for value-added products and services.</li><li>Provide technical support throughout the service delivery process.</li><li>Understand and communicate value of technology and interpretations.</li><li>Consult with relevant subject matter experts as required to optimize the technical design.</li><li>Support the OU PSD and/or PSD Manager in the execution phase with design changes as required due to changes in job dimensions, resource availability, service quality incidents, etc.</li><li>Assist in incident response, recovery, and incident investigation.</li><li>Support multiple Business Line(s) operations in a collaborative optimized job design.</li><li>Assist sales and commercial team in evaluating technical viability and tenders.</li><li>Analyze job execution vs. design and formally capture design improvements and optimization opportunities (lessons learned and best practices).</li></ul><p><strong>Minimum Qualifications:</strong></p><br><ul><li>Bachelor's degree in Engineering or Geoscience.</li><li>Strong technical competency in Drilling Downhole Products such (Bits, Jars, Reamers, Stabilizers...etc)</li><li>Strong technical competency in BHA design.</li><li>Minimum of 5 years of experience in similar roles.</li></ul><br><p>SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, national origin, age, disability, or other characteristics protected by law.</p><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Batching Plant Mechanic (ITIMechanical, Age 30–42). 7+ yrs exp incl. 5 yrs ReadyMix; Gulf exp preferred. Duties: troubleshoot batching plant, ice &amp; chiller systems. Skills: mechanical &amp; hydraulic troubleshooting, English communication</p><p><br></p><p>Perks and benefits</p><p><br></p><p>Free Food,Accommodation,Medical,Transport</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Batching Plant Mechanic (ITIMechanical, Age 30 42). 7+ yrs exp incl. 5 yrs ReadyMix; Gulf exp preferred.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for a skilled Senior Network Engineer with expertise in Cisco ACI and UCS to join our team in Muscut. The ideal candidate will have 10-15 years of experience in the automobile sector, with a strong background in network infrastructure design, implementation, and management. Roles and Responsibility Design, implement, and manage network infrastructure using Cisco ACI and UCS technologies. Configure and troubleshoot Cisco Nexus switches, routers, and firewalls to ensure high availability and performance. Develop and maintain documentation for network architecture, topology, and configurations. Collaborate with cross-functional teams to identify and resolve complex network issues. Provide technical guidance and support to junior engineers on network design and implementation best practices. Ensure compliance with industry standards and best practices for network security, scalability, and reliability.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Strong knowledge of Cisco ACI, UCS, Nexus, Data Center, DCNM, VXLAN, EVPN, Spine Leaf, and Fabric technologies. Experience with Cisco Switching, Routing, and Data Center Network design and implementation. Excellent problem-solving skills and ability to analyze complex network issues and develop creative solutions. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. Ability to work in a fast-paced environment with multiple priorities and deadlines. Strong understanding of network security principles and protocols, including firewall configuration and management. Gender: Male.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Alternance Ingénieur Informatique - Intelligence Artificielle, Data &amp; Développement Logiciel F/H</p><br><br><p>Alternance</p><br><br><p>3 ans</p><br><br><p>Etudiant</p><br><br><p>Temps partiel</p><br><br><p>Développement de solutions logicielles<br>• Concevoir, développer et maintenir des applications internes ou clients.<br>• Participer au développement backend, frontend ou full stack selon les besoins projets.<br>• Mettre en place des API, bases de données et interfaces utilisateurs.<br>• Contribuer à l'industrialisation du code : tests, documentation, versioning Git et bonnes pratiques de développement.<br>Intelligence artificielle et Machine Learning<br>• Identifier les cas d'usage IA pertinents pour l'entreprise ou ses clients.<br>• Participer à la collecte, au nettoyage et à la structuration de données.<br>• Développer ou intégrer des modèles d'IA / Machine Learning : classification, extraction d'information, recommandation, analyse documentaire ou automatisation de tâches.<br>• Tester, évaluer et améliorer les performances des modèles.<br>• Étudier l'intégration d'outils d'IA générative, de traitement automatique du langage, d'OCR ou d'analyse de documents.<br>Data, automatisation et outils internes<br>• Créer des scripts ou outils d'automatisation pour améliorer les processus métiers.<br>• Exploiter des données issues de fichiers, bases de données, documents PDF ou sources internes.<br>• Participer à la mise en place de tableaux de bord ou d'outils d'aide à la décision.<br>• Veiller à la qualité, la fiabilité et la traçabilité des données traitées.<br>DevOps, sécurité et qualité logicielle<br>• Participer à la mise en place de bonnes pratiques DevOps : intégration continue, déploiement, documentation technique.<br>• Appliquer les principes de développement sécurisé.<br>• Contribuer à la gestion des environnements de développement, test et production.<br>• Participer à la veille technologique sur l'IA, la cybersécurité, le cloud et les architectures logicielles.<br>Gestion de projet et communication<br>• Participer aux réunions de suivi projet.<br>• Rédiger des documents techniques et fonctionnels.<br>• Présenter régulièrement l'avancement des travaux au tuteur entreprise.<br>• Travailler en méthode agile ou en mode projet selon l'organisation interne.</p><br><br><p>Exemples de projets possibles<br>• Développement d'un outil interne d'analyse automatique de documents.<br>• Création d'un assistant IA pour aider à la recherche d'informations ou à la rédaction.<br>• Mise en place d'un système d'extraction de données depuis des PDF, formulaires ou bases documentaires.<br>• Développement d'une application web intégrant des fonctionnalités IA.<br>• Création d'un moteur de recommandation ou de qualification automatique de données.<br>• Automatisation de processus métiers à l'aide de scripts Python et d'outils IA.<br>• Prototype utilisant des modèles de langage, OCR, NLP ou Machine Learning.</p><br><br><p>Étudiant-e intégrant un cycle ingénieur informatique par apprentissage, avec un intérêt fort pour l'intelligence artificielle, le développement logiciel, la data, l'automatisation, les nouvelles technologies et la transformation numérique des organisations.<br>Qualités attendues<br>• Autonomie progressive et capacité à apprendre rapidement.<br>• Curiosité technique et goût pour l'expérimentation.<br>• Rigueur dans le développement, les tests et la documentation.<br>• Capacité d'analyse et de synthèse.<br>• Esprit d'équipe et communication claire avec des interlocuteurs techniques et non techniques.<br>• Capacité à gérer les contraintes de l'alternance : organisation du temps, priorisation et régularité.</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p>Must have Skills : Python (Strong), Model Packaging &amp; Deployment (Strong), RAG Workflow (Strong), Prompt Engineering with LLMs (Strong)</p><br><p>Good To Have Skills : Vector Databases and Embeddings (Capable)</p><br><p>Job description: 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><br><p>Must Have: 1. Strong foundation in Python (data handling, APIs, scripts) 2. Understanding of APIs, Docker, or deployment workflows 3. Exposure to deploying ML/AI models (even in projects/internships) 4. Understanding of embeddings, retrieval flow 5. Hands-on exposure through projects 6. Experience working with GPT/Llama APIs 7. Ability to structure prompts and evaluate outputs 8. Vector Databases (Exposure Level) - Familiarity with FAISS / Chroma / Pinecone and basic usage in projects. 9. . ML Fundamentals: Core concepts - overfitting, evaluation metrics, basic algorithms. Ability to reason about model behavior.</p><br><p>Core Responsibilities (Execution Under Guidance) 1. Assist in building RAG-based GenAI solutions for enterprise use cases. 2. Develop Python-based services/APIs integrating LLMs. 3. Support data preprocessing, embeddings, and retrieval pipelines. 4. Contribute to model deployment and integration tasks. 5. Debug and improve existing pipelines under supervision. 6. Work closely with senior engineers to understand production constraints (latency, cost, accuracy)</p><br><p>Good to Have 1. LangChain / LlamaIndex exposure 2. Cloud basics (Azure / AWS / GCP) 3. Basic understanding of CI/CD or MLOps concepts 4. Internship/project experience in GenAI or ML use cases Experience &amp; Qualification 1. Bachelor's in Computer Science / Data Science or related field. 2. 12 years of experience in AI/ML (including internships and project work). 3. Exposure to at least one end-to-end ML/GenAI project (academic and professional).</p><br><br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Nationality"> <b>Nationality</b> </div> <div class="col is-9 p5" data-automation-id="data_Nationality"> Oman </div> </div>

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Goodman Masson is partnering with a new financial markets infrastructure venture under formation in Oman.<br> Backed by prominent institutional investors, the business is building a greenfield platform from the ground up, and is now hiring at the build stage.<br> This is a rare chance to help stand up critical market infrastructure from a blank sheet and then run what you have built.<br> The role The Network and Security Engineer builds and looks after the network the platform runs on, and keeps it secure at the same time.<br> In the build phase you help design and then stand up the network from the ground up.<br> In the run phase you keep it working, watch it, and fix it when something breaks.<br> What you will do Help design and then build the network: segmentation and zoning, routing and switching, firewalls, load balancing, DNS, and time synchronisation, engineered for steady low-latency performance Set up and secure connectivity to external counterparties such as custodians, settlement banks, and market systems Own perimeter and internal network security in the first line: firewalls, segmentation, secure and privileged remote access, and certificate and encryption management Keep network devices patched and hardened, support penetration testing, and close network findings Lead the first response to network and security incidents, and escalate cleanly when needed Keep the network documented to a standard that holds up under review Location and terms Based in Muscat, Oman.<br> Permanent for Omani nationals; two-year fixed-term contract for expatriate hires.<br> Omani nationals are strongly encouraged to apply.<br> If this is your kind of build, please apply now!<br> What you will bring Degree in computer science, networking, information security, or a related field, or equivalent hands-on experience At least six years in network engineering, with direct hands-on responsibility for network security as well as the network itself Strong network design and operation: segmentation and zoning, routing and switching, firewalls, load balancing, secure remote access, and low-latency design Direct experience owning first-line network security including firewalls, hardening, certificates, and secure connectivity Experience securing external-facing connectivity in a regulated or high-assurance setting Experience leading the first response to a live network or security incident Hands-on credibility: able to configure a firewall and a switch, segment a network, read a packet capture, and challenge a vendor design Fluent English, written and spoken Also of interest Experience in financial services or financial market infrastructure such as a central securities depository, central counterparty, exchange, or payment system Experience with secure connectivity to SWIFT, Bloomberg, or the international central securities depositories Infrastructure-as-code and automation experience such as Terraform or Ansible Relevant certifications in networking such as CCNP or CCIE, and in security such as CISSP</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are hiring for IT Infrastructure Engineer - Oman Location - Oman Role &amp; Responsibilities- Design and implement complete IT infrastructure setup (LAN/WAN/Wi-Fi). Install, configure, and maintain servers (Windows/Linux). Manage Active Directory, DNS, DHCP, VLAN, Group Policies. Configure and maintain firewall, VPN, and network security. Setup and manage email systems (Microsoft 365 / Google Workspace). Implement data backup and disaster recovery solutions. Configure NAS/SAN storage and monitor capacity. Setup CCTV systems, NVR, and power backup coordination. Install and manage printers, scanners, and biometric systems. Monitor system performance and ensure high availability. Troubleshoot hardware, network, and server issues. Coordinate with vendors for procurement and AMC management. Ensure IT security compliance and regular patch updates. Maintain IT documentation and asset inventory.</p></div></section>