Machine operator Jobs

Job Description<br><br>Supervise the activities undertaken at the VTS Centre with respect to the types of services provided and the team that has the responsibility for conducting the Vessel Traffic Service (VTS) to the satisfaction level of the Competent Authority as well as vessels and other users<br><br>Responsibilities<br><br>Ensuring that the service provided meets the requirements of both the users and the VTS Authority Coordinating the interface between the VTS, allied services and other port facilities and services Ensuring the efficient running of the VTS operation rooms Carrying out an annual assessment of VTS Operators In conjunction with on-the-job training, carrying out revalidation assessments on VTS Operators Ensure that the WMCC - VTS Centre is always adequately manned and that the equipment is maintained in a constant state of readiness Leadership of the VTS team conducting the general day to day management of high volumes of vessels movements Adheres to Safe Work instruction and SOPsAdheres to Near miss and Incident reporting Senyar system Ensure that enough VTS operators are always available on workplace working effectively and all the equipment is functioning properly To supervise a team of VTS operators with the responsibilities of conducting vessel traffic service as per VTS operational procedures manual and Waterways standard Conduct an in-house training on marine related matters as required Conduct on-the-Job training/toolbox talk for VTS Operators Continuously assessing the VTS Operators performance Managing traffic plan <br><br>Qualifications<br><br>Educational and Technical Qualifications:<br><br>Diploma and VTS Certification log with C0103-2 Certificate A qualification in maritime or transport matters, accompanied with relative experience Experience in Maritime Operations and C0103-2 training is required <br><br>Language Skills:<br><br>Ability to effectively communicate, verbally and written in English, in order to be able to report adequately to superiors and to form good relations, negotiates and resolves conflicts with stakeholders Ability to work effectively in a team, including the ability to respond to the needs of team members and provide them with assistance when required Good working knowledge of computers and conversant with computer applications and communication equipment Ability to maintain confidentiality and to work with third parties and retain professional demeanour in confrontational situations Ability to carry out duties effectively and efficiently and according to defined objectives under minimal supervision Ability to monitor the operational and functional integrity of communications equipment, computer and navigational aid Knowledge of maritime regulations and terminology Flounce in English Language <br><br>Years of Experience:<br><br>A minimum of 3 years as a VTS Operator<br><br>Nature of Experience:<br><br>Relevant experience in the region is preferred

Company Overview<br>Open Innovation AI is a global technology company that specializes in developing advanced solutions for managing AI workloads. Its flagship product, the Open Innovation Cluster Manager (OICM), orchestrates complex AI tasks efficiently across diverse infrastructures. The platform is hardware-agnostic, optimized for various GPUs and accelerators hardware, and facilitates seamless integration and scalability for enterprise AI applications. Open Innovation AI focuses on optimizing and simplifying AI workload management and making AI technologies accessible to organizations of all sizes. With its innovative solutions, companies can reduce operational costs, accelerate time to value, and maximize their return on investment, ensuring that their AI strategies contribute directly to enhanced business outcomes.<br>Role Overview:<br>The Lead Delivery Engineer is the senior technical authority for our Delivery Engineering team, the team that takes customer deployments from an empty data hall to a fully running platform on current-generation AI infrastructure: NVIDIA HGX GPU servers, high-speed networking, enterprise storage, and the Open Innovation platform on top. You lead each deployment on site, from end to end.<br>The physical build is handled by others: contracted installers do the rack-and-stack, cabling, and labeling, vendor field engineers commission the storage, and our Network Engineering team brings up the fabric. Through that phase you run the floor, making sure the work goes exactly to plan, coordinating the moving parts, and keeping the customer and the coordinator updated. Once the hardware is ready, the platform work is hands-on and yours: provisioning and configuring operating systems, standing up Kubernetes, and deploying the Open Innovation products. You also produce the low-level designs (LLDs) and the as-built documentation for each engagement.<br>This is a senior individual contributor role. The authority you carry comes from your technical credibility, your judgment, and the trust you earn with the team and with customers. The team will look to you for the difficult technical calls, customers will treat you as their senior point of contact, and the deployment standards you define become the standards the team operates against. You will work closely with the Delivery & Network Coordinator on logistics and status, and with the Solutions Architects on pre-sales technical feasibility.<br>You will spend significant time on customer sites, in escalation calls, and in deployment reviews, hands-on and close to the work the team is doing. The expectation is that you can step into any deployment, find the problem, and either fix it yourself or direct the engineer who can. As Open Innovation grows, the scope of this role grows with it: more engineers operating to your standards, more customers, and more influence over how the delivery organization is run.<br>Role Responsibilities:Lead each customer deployment on site from end to end. During the physical build, direct and coordinate the parties doing the work: contracted installers on rack-and-stack, cabling, and labeling, vendor field engineers on storage, and the Network Engineering team on the fabric, keeping everything to plan and the customer and Coordinator updated. Once the hardware is in place, run the platform deployment hands-on: provisioning and configuring operating systems, standing up Kubernetes on bare metal, installing in-cluster operators (storage CSI drivers, NVIDIA GPU Operator, NVIDIA Network Operator, and similar), and deploying and validating the Open Innovation products through to a working handover to customer operations. Produce the low-level designs (LLDs) and the as-built documentation for each engagement. Act as the senior technical escalation point for delivery engagements. Customers escalate to you; you escalate to the Head of Infrastructure only when truly necessary. Manage customer expectations on engagements and represent the team's technical perspective ensuring good outcomes. Distinguish clearly between requests we accept to make our customers successful and the smaller set of cases where the right answer is a careful technical conversation. Absorb this layer of customer engagement so delivery engineers can focus on execution. Be the senior technical presence customers rely on when a deployment gets complex, resolving issues on the ground and keeping the engagement on track before they need to reach the Head of Infrastructure. Define, document, and evolve deployment standards: runbooks, acceptance criteria, handoff checklists, post-deployment validation procedures. Mentor and unblock delivery engineers in the field, joining their calls, reviewing their work, and stepping in when an issue exceeds their experience level. Lead post-incident and post-deployment reviews. Identify systemic gaps and drive corrective action. Partner with the Delivery & Network Coordinator on resourcing, scheduling, and cross-team handoffs, particularly with the application teams who follow infrastructure into customer sites for LLM and platform deployments. Partner with Solutions Architects on pre-sales technical reviews, validating that what is being proposed is deliverable by the team. Travel to customer sites across the UAE, including remote and controlled environments, on short notice when escalations require senior on-site presence<br>Required experience & Qualification8+ years of hands-on experience deploying complex enterprise infrastructure into customer environments. Proven experience leading and coordinating a mixed on-site team through a live build (contracted installers, vendor field engineers, network engineers), keeping the work to plan and on schedule. Deep production experience operating Kubernetes on bare metal, including air-gapped or restricted-network deployments. You should be fluent installing and configuring common in-cluster operators on a fresh cluster: storage CSI drivers, NVIDIA GPU Operator, NVIDIA Network Operator, and similar. Strong Linux server administration (RHEL/Ubuntu): comfortable provisioning operating systems on bare metal, troubleshooting at the OS, driver, and kernel level, and bringing a fresh server from a blank state to production ready. Solid datacenter hardware fluency: GPU-class server hardware (NVIDIA HGX/SXM/PCIe), basic datacenter networking (L2/L3 fundamentals), and the practical experience to supervise contracted installers on rack-and-stack, cabling, and labeling work to a high quality standard. Working knowledge of enterprise storage concepts (block, object, CSI), enough to install drivers, validate, and coordinate with storage vendor field engineers, who handle most of the storage-side work on our engagements. Deep storage expertise is not required.<br>Customer-facing bar Outstanding customer maturity. You are comfortable being the senior voice from Open Innovation in front of demanding customers, and you consistently manage their expectations on scope, timing, and risk without damaging the relationship. Strong communication skills in writing and in live conversation. You explain technical decisions clearly to non-technical stakeholders, and you hold a difficult conversation calmly. A track record of being the steady, trusted presence on hard engagements, resolving issues with customers and with your own engineers before they need senior leadership involvement. Demonstrable track record owning customer escalations end-to-end, including the customer conversation around the technical resolution. Prepared to discuss specific examples in depth.<br>Other requirements Fluent written and spoken English. Willingness to travel to UAE customer sites, including remote and controlled environments, on short notice<br>Preferred Qualifications Direct experience deploying NVIDIA HGX or H100/H200-class GPU systems. Production experience tuning the NVIDIA GPU Operator and NVIDIA Network Operator on real workloads. Hands-on experience with Pure Storage, Net App, or comparable enterprise storage platforms.<br>What Success Looks Like in the First 90 Days You have personally walked at least one in-flight customer deployment from current state to a clean handoff. The delivery team comes to you with technical questions instead of escalating them to the Head of Infrastructure. A first version of the deployment standards (runbook + acceptance checklist) is in circulation and being used by the team. Customers on at least one active engagement know you by name and consider you their technical point of contact

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Job Title</b> – Mechanical Technician</p><p><b>Type</b> – Full-Time</p><p><b>Salary</b> – AED 4,500 per month</p><p><br></p><p><b>Mandatory Details/Skills</b></p><ul><li>Perform routine mechanical maintenance on cap manufacturing machines, including presses, lining machines, and knurling/curling units. </li><li>Carry out breakdown maintenance and restore equipment to operational condition with minimal downtime. </li><li>Execute preventive maintenance schedules as assigned by the Maintenance Supervisor. </li><li>Inspect machinery regularly for wear, misalignment, lubrication issues, and mechanical defects. </li><li>Replace worn-out machine components such as bearings, belts, gears, seals, and other mechanical parts. </li><li>Diagnose and troubleshoot mechanical faults, including vibration, overheating, abnormal noise, and equipment failure. </li><li>Identify root causes of equipment issues and implement effective corrective actions. </li><li>Assist in the installation, setup, testing, and commissioning of new machinery and production equipment. </li><li>Adjust machine settings during product changeovers to meet production and quality specifications. </li><li>Ensure proper machine alignment, clearances, and tolerances for efficient operation. </li><li>Fine-tune equipment to maintain product quality, including cap dimensions and lining consistency. </li><li>Follow all health, safety, and environmental (HSE) procedures and use appropriate Personal Protective Equipment (PPE). </li><li>Record maintenance activities, repairs, spare parts usage, and equipment service history. </li><li>Maintain accurate logs of machine performance, downtime, and maintenance activities. </li><li>Work closely with production operators and supervisors to resolve machine-related issues and improve equipment reliability. </li><li>Comply with company policies, procedures, and operational standards. </li><li>Perform additional duties assigned by management within the scope of the role. </li></ul><p><br></p><p><b>Key Skills Required</b></p><ul><li>Diploma or Associate Degree in Mechanical Engineering, Mechanical Technology, or a related field. </li><li>Minimum 3 years of experience as a Mechanical Technician in a manufacturing environment. </li><li>Experience in cap manufacturing, can manufacturing, metal packaging, or similar production industries is preferred. </li><li>Strong knowledge of mechanical systems, machine maintenance, and industrial equipment. </li><li>Hands-on experience with preventive maintenance, breakdown maintenance, and troubleshooting. </li><li>Ability to read mechanical drawings and technical manuals. </li><li>Basic computer knowledge for maintenance reporting and documentation. </li><li>Strong problem-solving, communication, and teamwork skills. </li><li>Ability to work in shifts and in a fast-paced manufacturing environment. </li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Key Skills Required</b></p><ul><li>Diploma or Associate Degree in Mechanical Engineering, Mechanical Technology, or a related field. </li><li>Minimum 3 years of experience as a Mechanical Technician in a manufacturing environment. </li><li>Experience in cap manufacturing, can manufacturing, metal packaging, or similar production industries is preferred. </li><li>Strong knowledge of mechanical systems, machine maintenance, and industrial equipment. </li><li>Hands-on experience with preventive maintenance, breakdown maintenance, and troubleshooting. </li><li>Ability to read mechanical drawings and technical manuals. </li></ul><p><br></p></div>

We are looking for a motivated and analytical Data Scientist to join our team. The candidate will be responsible for designing and implementing machine learning models, extracting insights from complex datasets, and collaborating with cross-functional teams to drive data-informed decisions.<br>Key Responsibilities Design, build, and validate machine learning and statistical models Clean, preprocess, and analyze large structured and unstructured datasets Translate business problems into data science solutions and measurable outcomes Develop and maintain data pipelines in collaboration with engineering teams Communicate findings and model performance clearly to technical and non-technical stakeholders Coordinate with senior data scientists and product teams to deploy models into production Stay current with new tools, frameworks, and best practices in the field Maintain accuracy, reproducibility, and quality standards across projects<br>Requirements Bachelor's/Master's degree in Data Science, Computer Science, Statistics, or related field (or equivalent experience)1–6 years of experience in data science, machine learning, or analytics Strong proficiency in Python (Num Py, Pandas, Scikit-learn) and SQLSolid understanding of statistical modeling, machine learning algorithms, and data structures Strong problem-solving skills and ability to work with ambiguous, large-scale data Ability to work independently in a remote setup<br>Preferred Skills Experience with deep learning frameworks (Tensor Flow, PyTorch) Exposure to MLOps practices and model deployment (Docker, cloud ML platforms) Knowledge of NLP, computer vision, or time-series forecasting Experience presenting insights to business/leadership stakeholders

I’m looking for an AI-native co-founder to help scale Model Operator from a developed thesis into a venture studio with real distribution and product discipline.<br>We’re currently very good at: spotting useful AI capabilities early, applying them to slow or expensive workflows, and designing the context, review paths and controls that let more work move faster without mistakes multiplying.<br>I’m adding a co-founder so we can pursue more and bigger bets. I’m looking for someone who considers themselves technical, with a bias towards growth: turning hypotheses into live experiments, building lead magnets, opening partnerships and creating repeatable distribution. You will not need to own the codebase, but you should be able to challenge platform architecture, spot workflows that will constrain scale, query data and deploy digital assets without hand-holding.<br>We’ll both keep building, developing relationships and closing deals. The gap is someone who can drive demand without forcing product quality to compete for the same founder hours. That gives us room to test more bets and pursue larger addressable markets while keeping the shared platform coherent.<br>___<br>What we're building<br>Model Operator is a venture studio for adjacent AI workflow businesses built on one shared operating layer. We are starting with company context and memory management, alongside voice agents.<br>Version 1 is ready, initial sales calls are being booked, and the business is set-up in the UAE and ready to operate. The immediate job is to target the right deals, allocate founder time responsibly and refine a growth plan that tells us which markets deserve deeper investment.<br>The studio depends on finding ideas that are both correct and overlooked, then testing whether they create meaningful operating leverage. That gives us a precise view of where the value sits, who will pay for it and which capabilities belong in the shared platform. Each experiment should strengthen that platform, making the next product faster to launch and easier to scale.<br>___<br>Who we're looking for<br>Early-scale startup experience matters more than corporate experience. You have worked where the product was live, demand was emerging and missing systems had to be built with lean resources. Your decisions affected growth, delivery quality or survival.<br>You have shipped AI products or workflows used by real people. Codex or Claude Code are part of your normal working environment. You probably have an Open Claw or Hermes Agent too and understand tools, memory, evaluations, and failure modes more than the people who just read about these things.<br>You can create demand as well as software. Strong evidence might include testing offers quickly, opening partnerships, building founder-led sales, finding underpriced distribution, running profitable lead magnets, etc.<br>Your network has practical value. Founders, buyers, operators, and partners respond when you contact them because trust already exists. You should also be willing to invest alongside me, although Model Operator does not need your capital immediately.<br>You know what deserves your own hands. You can enter the codebase, inspect a funnel, speak to customers or fix an operational problem. You can also hire specialists, write precise briefs and review outsourced work without losing ownership over the critical thinking.<br>Workslop irritates you. You can identify weak assumptions, generic reasoning, and fabricated details… You remain the human-in-the-loop because you know enough to steer, challenge and refine the system; you rarely just accept AI outputs, and you definitely don’t copy-paste it into chats for colleagues to digest before you have.<br>Intentionality is important. I won’t build with you if you moan about the pursuit: difficult problems, uncertain markets, ambitious experiments and the pressure of making something work. This is not employment approached as a queue of tasks to clear before switching off.<br>We should direct our lives rather than let circumstances decide what happens. Useful work creates impact; impact builds trust; trust opens opportunities that were unavailable before. When one route closes, you find another worthwhile action rather than deciding there is nothing left to do.<br>You tell the truth early. You do not hide doubts, manufacture agreement or soften your actual view because you’re scared or tactical. You are secure enough to disagree, admit uncertainty and change your mind when the evidence changes.<br>You take endurance seriously. You believe in the role of sport/fitness in maintaining the sustainable energy necessary for proper founder performance. You understand burnout prevention starts before exhaustion.<br>What we’d own together<br>Test context management, voice agent and adjacent workflow opportunities Develop repeatable routes to market through offers, sales and partnerships Turn recurring client problems into reusable infrastructure Decide which experiments deserve more capital and which should stop Recruit specialists where necessary Operate at AI-native speed while protecting reliability and trust<br>___<br>Structure<br>This is a co-founder role with equity and vesting.<br>You must be able to contribute at least 20 focused hours each week from the outset, with a credible path towards deeper involvement.<br>Final responsibilities and equity will reflect commitment, demonstrated contribution, existing assets and shared risk.<br>____<br>Apply:<br>Send me:<br>Your early-scale startup experience and proof-of-value. An AI product or workflow you personally shipped. How you use Codex/Claude Code/Open Claw/Hermes Agent. Evidence that you can create distribution or commercial momentum. Your location, availability and eventual investment appetite.<br>Feel free to contact alexander@modeloperator.io<br>Links to products, repos, experiments and commercial results matter more than a polished CV. To be clear though, I do value a quality education.<br>Use AI if it improves the application. Own every sentence you send. I’ll respond to whoever’s not wasting my time.<br><br>Industry Artificial Intelligence<br>Employment Type Part-time

I’m looking for an AI-native co-founder to help scale Model Operator from a developed thesis into a venture studio with real distribution and product discipline.<br>We’re currently very good at: spotting useful AI capabilities early, applying them to slow or expensive workflows, and designing the context, review paths and controls that let more work move faster without mistakes multiplying.<br>I’m adding a co-founder so we can pursue more and bigger bets. I’m looking for someone who considers themselves technical, with a bias towards growth: turning hypotheses into live experiments, building lead magnets, opening partnerships and creating repeatable distribution. You will not need to own the codebase, but you should be able to challenge platform architecture, spot workflows that will constrain scale, query data and deploy digital assets without hand-holding.<br>We’ll both keep building, developing relationships and closing deals. The gap is someone who can drive demand without forcing product quality to compete for the same founder hours. That gives us room to test more bets and pursue larger addressable markets while keeping the shared platform coherent.<br>___<br>What we're building<br>Model Operator is a venture studio for adjacent AI workflow businesses built on one shared operating layer. We are starting with company context and memory management, alongside voice agents.<br>Version 1 is ready, initial sales calls are being booked, and the business is set-up in the UAE and ready to operate. The immediate job is to target the right deals, allocate founder time responsibly and refine a growth plan that tells us which markets deserve deeper investment.<br>The studio depends on finding ideas that are both correct and overlooked, then testing whether they create meaningful operating leverage. That gives us a precise view of where the value sits, who will pay for it and which capabilities belong in the shared platform. Each experiment should strengthen that platform, making the next product faster to launch and easier to scale.<br>___<br>Who we're looking for<br>Early-scale startup experience matters more than corporate experience. You have worked where the product was live, demand was emerging and missing systems had to be built with lean resources. Your decisions affected growth, delivery quality or survival.<br>You have shipped AI products or workflows used by real people. Codex or Claude Code are part of your normal working environment. You probably have an Open Claw or Hermes Agent too and understand tools, memory, evaluations, and failure modes more than the people who just read about these things.<br>You can create demand as well as software. Strong evidence might include testing offers quickly, opening partnerships, building founder-led sales, finding underpriced distribution, running profitable lead magnets, etc.<br>Your network has practical value. Founders, buyers, operators, and partners respond when you contact them because trust already exists. You should also be willing to invest alongside me, although Model Operator does not need your capital immediately.<br>You know what deserves your own hands. You can enter the codebase, inspect a funnel, speak to customers or fix an operational problem. You can also hire specialists, write precise briefs and review outsourced work without losing ownership over the critical thinking.<br>Workslop irritates you. You can identify weak assumptions, generic reasoning, and fabricated details… You remain the human-in-the-loop because you know enough to steer, challenge and refine the system; you rarely just accept AI outputs, and you definitely don’t copy-paste it into chats for colleagues to digest before you have.<br>Intentionality is important. I won’t build with you if you moan about the pursuit: difficult problems, uncertain markets, ambitious experiments and the pressure of making something work. This is not employment approached as a queue of tasks to clear before switching off.<br>We should direct our lives rather than let circumstances decide what happens. Useful work creates impact; impact builds trust; trust opens opportunities that were unavailable before. When one route closes, you find another worthwhile action rather than deciding there is nothing left to do.<br>You tell the truth early. You do not hide doubts, manufacture agreement or soften your actual view because you’re scared or tactical. You are secure enough to disagree, admit uncertainty and change your mind when the evidence changes.<br>You take endurance seriously. You believe in the role of sport/fitness in maintaining the sustainable energy necessary for proper founder performance. You understand burnout prevention starts before exhaustion.<br>What we’d own together<br>Test context management, voice agent and adjacent workflow opportunities Develop repeatable routes to market through offers, sales and partnerships Turn recurring client problems into reusable infrastructure Decide which experiments deserve more capital and which should stop Recruit specialists where necessary Operate at AI-native speed while protecting reliability and trust<br>___<br>Structure<br>This is a co-founder role with equity and vesting.<br>You must be able to contribute at least 20 focused hours each week from the outset, with a credible path towards deeper involvement.<br>Final responsibilities and equity will reflect commitment, demonstrated contribution, existing assets and shared risk.<br>____<br>Apply:<br>Send me:<br>Your early-scale startup experience and proof-of-value. An AI product or workflow you personally shipped. How you use Codex/Claude Code/Open Claw/Hermes Agent. Evidence that you can create distribution or commercial momentum. Your location, availability and eventual investment appetite.<br>Feel free to contact alexander@modeloperator.io<br>Links to products, repos, experiments and commercial results matter more than a polished CV. To be clear though, I do value a quality education.<br>Use AI if it improves the application. Own every sentence you send. I’ll respond to whoever’s not wasting my time.<br><br>Industry Artificial Intelligence<br>Employment Type Part-time

Job Summary:The Structural Engineer – Machine Room Works is responsible for the structural design, assessment, and execution support of machine rooms, equipment foundations, steel support structures, platforms, and associated civil works. The role ensures that all structural elements safely support heavy mechanical equipment while complying with project specifications, international design standards, and local authority regulations.<br>Key Responsibilities:Design and analyze structural systems for machine rooms, equipment foundations, concrete pedestals, steel platforms, and support structures. Perform structural calculations for heavy machinery, dynamic loads, vibration, and equipment anchoring systems. Review machine layouts and ensure structural compatibility with mechanical and electrical installations. Prepare structural design calculations, technical reports, drawings, and specifications. Coordinate with Mechanical, Electrical, Architectural, and Civil teams to ensure seamless project execution. Review contractor shop drawings, fabrication drawings, and material submittals. Conduct structural inspections during construction to ensure compliance with approved designs. Assess existing structures and recommend strengthening or modification solutions where required. Ensure all designs comply with applicable international standards and local authority requirements. Participate in technical meetings with clients, consultants, contractors, and suppliers. Support project teams by resolving structural and site-related engineering issues. Review method statements and lifting plans related to structural installations. Promote compliance with Quality, Health, Safety, and Environmental (QHSE) standards throughout project execution.<br>Qualifications:Bachelor's Degree in Civil Engineering with a specialization in Structural Engineering. Master's Degree in Structural Engineering is an advantage. Professional Engineer (PE), Chartered Engineer (CEng), or equivalent certification is preferred.<br>Experience:5–10 years of structural engineering experience in industrial, mechanical, infrastructure, or heavy equipment projects. UAE/GCC experience is highly preferred. Experience in machine room construction, industrial buildings, equipment foundations, and structural steel works. Experience working with contractors, consultants, and multidisciplinary engineering teams.<br>Technical Skills:Strong knowledge of reinforced concrete and structural steel design. Experience designing equipment foundations, machine bases, and steel support structures. Understanding of dynamic loading, vibration analysis, and anchor bolt design. Proficiency in:ETABSSAFESTAAD Pro SAP2000Auto CADRevit Structure Tekla Structures (preferred) Microsoft Office Knowledge of applicable design standards such as:ACIAISCEurocode ASCEIBCLocal UAE authority regulations<br>Key Competencies:Structural engineering and analysis Equipment foundation design Structural steel design Problem-solving and analytical thinking Technical documentation Cross-functional coordination Quality and safety awareness Planning and time management Communication and stakeholder management<br>KPIsTimely completion of structural designs and engineering deliverables. Zero major structural design non-conformities. Compliance with project specifications and engineering standards. Successful approval of designs by consultants and authorities. Reduction in design revisions and site rework. Effective coordination with MEP and project teams. Adherence to project schedules and budgets. Full compliance with QHSE requirements.

Job Summary:The Structural Engineer – Machine Room Works is responsible for the structural design, assessment, and execution support of machine rooms, equipment foundations, steel support structures, platforms, and associated civil works. The role ensures that all structural elements safely support heavy mechanical equipment while complying with project specifications, international design standards, and local authority regulations.<br>Key Responsibilities:Design and analyze structural systems for machine rooms, equipment foundations, concrete pedestals, steel platforms, and support structures. Perform structural calculations for heavy machinery, dynamic loads, vibration, and equipment anchoring systems. Review machine layouts and ensure structural compatibility with mechanical and electrical installations. Prepare structural design calculations, technical reports, drawings, and specifications. Coordinate with Mechanical, Electrical, Architectural, and Civil teams to ensure seamless project execution. Review contractor shop drawings, fabrication drawings, and material submittals. Conduct structural inspections during construction to ensure compliance with approved designs. Assess existing structures and recommend strengthening or modification solutions where required. Ensure all designs comply with applicable international standards and local authority requirements. Participate in technical meetings with clients, consultants, contractors, and suppliers. Support project teams by resolving structural and site-related engineering issues. Review method statements and lifting plans related to structural installations. Promote compliance with Quality, Health, Safety, and Environmental (QHSE) standards throughout project execution.<br>Qualifications:Bachelor's Degree in Civil Engineering with a specialization in Structural Engineering. Master's Degree in Structural Engineering is an advantage. Professional Engineer (PE), Chartered Engineer (CEng), or equivalent certification is preferred.<br>Experience:5–10 years of structural engineering experience in industrial, mechanical, infrastructure, or heavy equipment projects. UAE/GCC experience is highly preferred. Experience in machine room construction, industrial buildings, equipment foundations, and structural steel works. Experience working with contractors, consultants, and multidisciplinary engineering teams.<br>Technical Skills:Strong knowledge of reinforced concrete and structural steel design. Experience designing equipment foundations, machine bases, and steel support structures. Understanding of dynamic loading, vibration analysis, and anchor bolt design. Proficiency in:ETABSSAFESTAAD Pro SAP2000Auto CADRevit Structure Tekla Structures (preferred) Microsoft Office Knowledge of applicable design standards such as:ACIAISCEurocode ASCEIBCLocal UAE authority regulations<br>Key Competencies:Structural engineering and analysis Equipment foundation design Structural steel design Problem-solving and analytical thinking Technical documentation Cross-functional coordination Quality and safety awareness Planning and time management Communication and stakeholder management<br>KPIsTimely completion of structural designs and engineering deliverables. Zero major structural design non-conformities. Compliance with project specifications and engineering standards. Successful approval of designs by consultants and authorities. Reduction in design revisions and site rework. Effective coordination with MEP and project teams. Adherence to project schedules and budgets. Full compliance with QHSE requirements.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>• Select the correct crane and accessories for the specific task<br>• Prepare the lift plan and ensure the required controls are in place<br>• Ensure that the lifting equipment is maintained, examined and appropriate for use<br>• Check that load integrity and stability are satisfactory<br>• Ensure that people involved are competent for performing their task, aware of the task and procedures to be followed,<br>and aware of their responsibilities<br>• Ensure competent supervisor available should the Appointed Person delegate his duties of part thereof to others<br>• Ensure all necessary test certificates and other documents are available<br>• Ensure all other statutory requirements and any necessary work permits are in place<br>• Identify all hazards and restricted areas<br>• Ensure that the person directing crane movements (Signaler / Banksman) is readily identifiable to the crane operator<br>by wearing high visibility clothing or distinguishing markings<br>• Ensure that the workplace is provided with adequate lighting for night lifting<br>• Brief people involved in or affected by the lift<br>• Ensure the lift is carried out following the plan. Suspend the lift if changes or conditions (e.g. wind) occur that would<br>cause a deviation from the plan<br>• Monitor the performance of all involved personnel to ensure that adequate standards of performance are maintained<br>• Manage any special issues such as language barriers and new/inexperienced staff<br>• Check that there is no deviation from standards for routine lifts<br>• Shall allow for concurrent or simultaneous operations that may affect or be affected by the lift, e.g., helicopter<br>operations, ballast control, other cranes</p><br><br>Responsibilities:<br><p>• Select the correct crane and accessories for the specific task<br>• Prepare the lift plan and ensure the required controls are in place<br>• Ensure that the lifting equipment is maintained, examined and appropriate for use<br>• Check that load integrity and stability are satisfactory<br>• Ensure that people involved are competent for performing their task, aware of the task and procedures to be followed,<br>and aware of their responsibilities<br>• Ensure competent supervisor available should the Appointed Person delegate his duties of part thereof to others<br>• Ensure all necessary test certificates and other documents are available<br>• Ensure all other statutory requirements and any necessary work permits are in place<br>• Identify all hazards and restricted areas<br>• Ensure that the person directing crane movements (Signaler / Banksman) is readily identifiable to the crane operator<br>by wearing high visibility clothing or distinguishing markings<br>• Ensure that the workplace is provided with adequate lighting for night lifting<br>• Brief people involved in or affected by the lift<br>• Ensure the lift is carried out following the plan. Suspend the lift if changes or conditions (e.g. wind) occur that would<br>cause a deviation from the plan<br>• Monitor the performance of all involved personnel to ensure that adequate standards of performance are maintained<br>• Manage any special issues such as language barriers and new/inexperienced staff<br>• Check that there is no deviation from standards for routine lifts<br>• Shall allow for concurrent or simultaneous operations that may affect or be affected by the lift, e.g., helicopter<br>operations, ballast control, other cranes</p><br><br>Qualifications:<br><p>1. 3 years Diploma in Mechanical Engineering or equivalent<br>2. 4-days Appointed Person Course by an ADNOC Offshore<br>Approved Training Provider is an added value<br>3. Minimum 5 years’ experience of offshore and onshore<br>lifting operations in a similar role in oil &amp; gas industry<br>&nbsp;</p><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Set up and adjust machinery according to production specifications, ensuring optimal performance and quality output.</li><li>Monitor machine operations continuously, troubleshooting any issues that may arise to minimize downtime.</li><li>Inspect finished products for quality assurance, ensuring they meet industry standards and client specifications.</li><li>Maintain detailed records of production output and machine performance, reporting any anomalies to supervisors.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>High school diploma or equivalent; technical certification in machinery operation is preferred.</li><li>Minimum of 2 years' experience in a manufacturing or industrial environment, with a focus on machine operation.</li><li>Proven ability to read and interpret technical drawings and specifications for machine setup.</li><li>Familiarity with CNC machinery and basic programming skills are highly advantageous.</li></ul><p></p></section>

To operate a variety of machine type (i.e. conventional lathe, horizontal and vertical boring, milling and others) in accordance with competence/knowledge, manufacturers’ operating instructions, laid down QHSE policies and procedures, ensuring that the required products as requested in Work Orders are manufactured and<br><br>delivered within the required time frame and quality standards.<br><br>Job Responsibilities<br><br>Set-up and operates machines in accordance with competence/knowledge and manufacturers’ operating instructions in order to accomplish required job laid down in a Work Order, utilising the materials which accompany the Work Order. Visually check cutting tools and materials to commencing the work, replacing the tools from stores and reporting any defect in the materials to the Workshop Supervisor where appropriate. Operate the machine safely and competently in accordance with operating instructions, and ensuring that good safety and housekeeping standards are maintained as laid down QHSE policies and procedures. Coordinate with QC Inspector after completion of the works. Ensure that an effective hand-over is carried out at the beginning/ end of each shift, assuring that any specific work or safety related information is communicated. Read and interprets blueprints, sketches,drawings, manuals, specifications, or sample parts to determine dimensions and tolerance of finished work pieces, sequences of operations and setup requirements. Starts and observes machine operation to detect malfunctions or out-of-tolerance machining, and adjust machine controls as required. Select, align, and secure holding fixtures, cutting tools, attachments, accessories, and materials on machines such as mills, lathes, vertical borers, grinders, and shapers. Performs other related field, maintenance or shop duties as assigned by supervisor. Responsible for the general housekeeping and cleaning of area of working. All other duties as assigned.<br><br>Required Skills / Knowledge<br><br>Expert;Demonstrate an advance skills level on a variety of machines types including lathe, horizontal and vertical boring, milling and others. Proficient;Experience of the following; pedestal drilling, cast machining, ball grinding, surface grinding, milling machine, horizontal boring M/C, vertical boring M/C and ball Machining. QC experience in dimensional check - precision measuring equip and checking of shaft TIR. Basic;Good communication skills in English language, both verbal and written. Basic mathematics skills. Machining knowledge. Basic understanding of welding.<br><br>Experience<br><br>Minimum 3 years previous experience. Previous experience of machining API connections an advantage. Ideally should have extensive experience in a workshop environment for oil and gas companies<br><br>Education Requirements<br><br>ITI in Trade Machinist + NCVT<br><br>Physical Requirements<br><br>Light physical effort Sufficient physical ability to work in an office setting and operate office equipment May require travel across the Middle East and GCC countries Employees are individually responsible to ensure that they systematically arrive at the workplace Fit for Duty. This includes having taken sufficient rest and nutrition to be able to perform their duties in a safe, efficient and effective manner at their designated start time.<br><br>Ethos Energy is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

<ul><li><p>Perform preventive and breakdown maintenance for manufacturing machines.</p></li><li><p>Troubleshoot mechanical issues and carry out corrective actions.</p></li><li><p>Maintain motors, pumps, bearings, conveyors, palletizers, and packaging equipment.</p></li><li><p>Handle maintenance activities for key technologies, multivac machines and auxiliary systems.</p></li><li><p>Monitor machine performance and improve operational efficiency.</p></li><li><p>Replace defective mechanical parts and ensure proper machine alignment and calibration.</p></li><li><p>Support production team during machine setup and changeover activities.</p></li><li><p>Maintain maintenance records and daily reports.</p></li><li><p>Follow safety procedures and company maintenance standards.</p></li><li><p>Coordinate with OEM service engineers when required</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>3+ years of similar experience as a maintenance technician.</p></li><li><p>English language proficiency - Reading, Writing, Listening & Speaking.</p></li><li><p>Technical maintenance experience in Blow Molding Krones ErgoBloc machines. </p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p><br>​This is a chance to join a multinational organisation building an AI Centre of Excellence in Abu Dhabi, with a clear focus on moving AI from experimentation into scaled deployment across the group.<br>The business is investing heavily in AI and advanced analytics, taking promising pilots and turning them into practical, production-ready solutions across core functions.<br>They’re now looking for a Machine Learning Engineer to help build the systems, models and pipelines that make that possible.<br><b>The role<br></b><br>You’ll design, build and deploy scalable machine learning systems that solve real business problems and support better decision-making across the organisation.<br>The work will span the full ML lifecycle, from working with large and complex datasets through to model training, validation, deployment and optimisation in production. You’ll work across traditional machine learning, neural networks, generative AI and agentic systems, depending on the use case.<br>You’ll also build end-to-end ML pipelines, automate training and deployment workflows, and work closely with Data Science, Engineering and Product teams to integrate models into wider applications.<br>A big part of the role will be making sure models work beyond the prototype stage, whether that means fine-tuning SLMs and LLMs, building model-serving APIs or improving performance across real-time and batch inference environments.</p><br><p>​</p><br><p><b>What we're looking for</b></p><br><ul><li><p>3–7 years' experience building scalable, production-grade AI or machine learning systems.</p><br></li><li><p>Strong experience across supervised and unsupervised learning, deep learning, NLP, computer vision or generative AI.</p><br></li><li><p>Strong ML systems architecture knowledge.</p><br></li><li><p>Hands-on experience fine-tuning and deploying LLMs or SLMs.</p><br></li><li><p>Experience with model serving and API development using tools such as FastAPI or Flask.</p><br></li><li><p>Good understanding of Docker, Kubernetes, CI/CD and MLOps tooling such as MLflow or Kubeflow.</p><br></li><li><p>Experience deploying machine learning workloads on AWS or Azure.</p><br></li><li><p>Bachelor's degree in Computer Science, Engineering or a related field.</p><br></li></ul><p>​</p><br><p>A Master's degree or PhD in Computer Science, AI, Machine Learning or a related field would be a plus.</p><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>We are seeking an experienced forklift operator with experience in Steel industry to join our team. The ideal candidate should have hands-on expertise handling steel materials such heavy manufactured items. Candidates should have at least 2-3 years of UAE experience with valid UAE driving license required.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>High school diploma or equivalent, with a strong understanding of basic math and reading skills to follow instructions accurately.</li><li>Valid forklift operator certification, ensuring compliance with local regulations and safety standards.</li><li>Minimum of 2 years of experience operating forklifts in a warehouse or distribution center, demonstrating familiarity with various types of forklifts.</li><li>Proven experience in inventory management systems, with the ability to swiftly navigate software for accurate record-keeping.</li></ul><p></p></section>

Home Applied AI Solutions Industry Aligned Upskilling Skills Boost AiMinds Courses Data Analytics Machine Learning Deep Learning Coding Design Research Clean Technology Advanced Manufacturing IoT, 5G & Cybersecurity Business Intelligence Fin Tech Health Tech AgTech<br><br>Home Applied AI Solutions Industry Aligned Upskilling Skills Boost AiMinds Courses Data Analytics Machine Learning Deep Learning Coding Design Research Clean Technology Advanced Manufacturing IoT, 5G & Cybersecurity Business Intelligence Fin Tech Health Tech AgTech<br>Customer Segmentation<br><br>Work Integrated Learning Customer Segmentation<br><br>Customer Segmentation<br><br>What is the main goal for this project?<br><br>The goal of this project is to enhance our marketing campaigns through re-evaluating our customer segmentation. We would like to implement cutting edge technology to analyze our customer segmentation, relative to each of our products and services. From the analysis, we hope to gain insights that will enhance our strategy and help us refocus our product/service marketing.<br><br>Improving pricing and risk selection. Identifying trends and potential predictive mitigation strategies. Developing more sophisticated products and pricing models. Submitting recommendations based on the analysis.<br><br>Duties And Responsibilities<br><br>By the end of the project:<br><br>Current industry standard approaches to Data Analysis and Data Visualization techniques. Unsupervised Machine Learning techniques, Clustering Outlier detection and anomaly identification in the data Understanding of variables that affect the accuracy of the model. Identification of areas for future improvement of the model.<br><br>Final Deliverables Should Include<br><br>All source code. A written report explaining the design process and outcomes.<br><br>Skills To Be Developed<br><br>As part of doing this project, interns can expect to be upskilled on below:<br><br>Energy Management systems, Reinforcement learning algorithms like Q-learning. Python, Machine learning.<br><br>About The Project<br><br> 12 Weeks Marketing Virtual Self-Paced<br><br>Register Now<br><br>Register Now<br><br>Our mission is to equip individuals with in-demand STEM skills, foster Research and Development capabilities, and forge connections, opportunities and partnerships with leading businesses in Emerging Technologies such as Data Science, Machine Learning, Artificial Intelligence, and Virtual/Augmented Reality. These skills and research experiences are highly sought after in diverse sectors including Clean Tech, Advanced Manufacturing, Business Intelligence, Finance, and Healthcare.<br><br>Important Links<br><br>Applied AI Solutions Industry Aligned Upskilling Skillsboost AiMinds Courses Research Privacy Policy<br><br>Contact Info<br><br>Greater Chennai, Indiacontact@m2mtechconnect.com<br><br>Copyright © 2026 M2M Tech Designed By AiReach. All Rights Reserved

Hiring: AI Engineer (United Arab Emirates) We are currently seeking an innovative and highly motivated AI Engineer to join our growing technology team in the United Arab Emirates. Position:AI Engineer Location:United Arab Emirates Job Type:Full-Time On-site / Hybrid Available Responsibilities:Design, develop, and deploy Artificial Intelligence and Machine Learning solutions Build and optimize Generative AI, Large Language Model (LLM), and Natural Language Processing (NLP) applications Develop intelligent automation systems and AI-powered products Train, fine-tune, evaluate, and monitor machine learning models Collaborate with software engineers, data scientists, and product teams to deliver AI-driven solutions Implement MLOps pipelines for model deployment, monitoring, and lifecycle management Research emerging AI technologies and contribute to innovation initiatives Ensure AI solutions are scalable, secure, and aligned with business objectives Requirements:Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field Strong proficiency in Python and machine learning concepts Experience with Tensor Flow, PyTorch, Scikit-learn, Lang Chain, or similar AI frameworks Knowledge of LLMs, Generative AI, NLP, prompt engineering, and vector databases Experience with cloud platforms such as AWS, Azure, or Google Cloud Familiarity with Docker, Kubernetes, APIs, and MLOps practices Strong analytical, problem-solving, and communication skills Benefits:Competitive salary package Performance-based bonuses Health and insurance benefits Professional development and AI certification support Exposure to cutting-edge AI technologies and regional innovation projects Career advancement opportunities Collaborative and innovation-driven work environment How to Apply:Please send your CV/Resume and a brief self-introduction to our recruitment team. Join us and help build next-generation AI solutions that drive digital transformation, automation, and business innovation across the region!

Hiring: AI Engineer (United Arab Emirates) We are currently seeking an innovative and highly motivated AI Engineer to join our growing technology team in the United Arab Emirates.<br>Position:AI Engineer<br>Location:United Arab Emirates<br>Job Type:Full-Time On-site / Hybrid Available<br>Responsibilities:Design, develop, and deploy Artificial Intelligence and Machine Learning solutions Build and optimize Generative AI, Large Language Model (LLM), and Natural Language Processing (NLP) applications Develop intelligent automation systems and AI-powered products Train, fine-tune, evaluate, and monitor machine learning models Collaborate with software engineers, data scientists, and product teams to deliver AI-driven solutions Implement MLOps pipelines for model deployment, monitoring, and lifecycle management Research emerging AI technologies and contribute to innovation initiatives Ensure AI solutions are scalable, secure, and aligned with business objectives Requirements:Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field Strong proficiency in Python and machine learning concepts Experience with Tensor Flow, PyTorch, Scikit-learn, Lang Chain, or similar AI frameworks Knowledge of LLMs, Generative AI, NLP, prompt engineering, and vector databases Experience with cloud platforms such as AWS, Azure, or Google Cloud Familiarity with Docker, Kubernetes, APIs, and MLOps practices Strong analytical, problem-solving, and communication skills Benefits:Competitive salary package Performance-based bonuses Health and insurance benefits Professional development and AI certification support Exposure to cutting-edge AI technologies and regional innovation projects Career advancement opportunities Collaborative and innovation-driven work environment How to Apply:Please send your CV/Resume and a brief self-introduction to our recruitment team. Join us and help build next-generation AI solutions that drive digital transformation, automation, and business innovation across the region! Industry Manufacturing Employment Type Full-time<br>Edit job description

Hiring: AI Engineer (United Arab Emirates) We are currently seeking an innovative and highly motivated AI Engineer to join our growing technology team in the United Arab Emirates.<br>Position:AI Engineer<br>Location:United Arab Emirates<br>Job Type:Full-Time On-site / Hybrid Available<br>Responsibilities:Design, develop, and deploy Artificial Intelligence and Machine Learning solutions Build and optimize Generative AI, Large Language Model (LLM), and Natural Language Processing (NLP) applications Develop intelligent automation systems and AI-powered products Train, fine-tune, evaluate, and monitor machine learning models Collaborate with software engineers, data scientists, and product teams to deliver AI-driven solutions Implement MLOps pipelines for model deployment, monitoring, and lifecycle management Research emerging AI technologies and contribute to innovation initiatives Ensure AI solutions are scalable, secure, and aligned with business objectives Requirements:Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field Strong proficiency in Python and machine learning concepts Experience with Tensor Flow, PyTorch, Scikit-learn, Lang Chain, or similar AI frameworks Knowledge of LLMs, Generative AI, NLP, prompt engineering, and vector databases Experience with cloud platforms such as AWS, Azure, or Google Cloud Familiarity with Docker, Kubernetes, APIs, and MLOps practices Strong analytical, problem-solving, and communication skills Benefits:Competitive salary package Performance-based bonuses Health and insurance benefits Professional development and AI certification support Exposure to cutting-edge AI technologies and regional innovation projects Career advancement opportunities Collaborative and innovation-driven work environment How to Apply:Please send your CV/Resume and a brief self-introduction to our recruitment team. Join us and help build next-generation AI solutions that drive digital transformation, automation, and business innovation across the region! Industry Manufacturing Employment Type Full-time<br>Edit job description

Hiring: AI Engineer (United Arab Emirates) We are currently seeking an innovative and highly motivated AI Engineer to join our growing technology team in the United Arab Emirates. Position:AI Engineer Location:United Arab Emirates Job Type:Full-Time On-site / Hybrid Available Responsibilities:Design, develop, and deploy Artificial Intelligence and Machine Learning solutions Build and optimize Generative AI, Large Language Model (LLM), and Natural Language Processing (NLP) applications Develop intelligent automation systems and AI-powered products Train, fine-tune, evaluate, and monitor machine learning models Collaborate with software engineers, data scientists, and product teams to deliver AI-driven solutions Implement MLOps pipelines for model deployment, monitoring, and lifecycle management Research emerging AI technologies and contribute to innovation initiatives Ensure AI solutions are scalable, secure, and aligned with business objectives Requirements:Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field Strong proficiency in Python and machine learning concepts Experience with Tensor Flow, PyTorch, Scikit-learn, Lang Chain, or similar AI frameworks Knowledge of LLMs, Generative AI, NLP, prompt engineering, and vector databases Experience with cloud platforms such as AWS, Azure, or Google Cloud Familiarity with Docker, Kubernetes, APIs, and MLOps practices Strong analytical, problem-solving, and communication skills Benefits:Competitive salary package Performance-based bonuses Health and insurance benefits Professional development and AI certification support Exposure to cutting-edge AI technologies and regional innovation projects Career advancement opportunities Collaborative and innovation-driven work environment How to Apply:Please send your CV/Resume and a brief self-introduction to our recruitment team. Join us and help build next-generation AI solutions that drive digital transformation, automation, and business innovation across the region!

Hiring: AI Engineer (United Arab Emirates) We are currently seeking an innovative and highly motivated AI Engineer to join our growing technology team in the United Arab Emirates. Position:AI Engineer Location:United Arab Emirates Job Type:Full-Time On-site / Hybrid Available Responsibilities:Design, develop, and deploy Artificial Intelligence and Machine Learning solutions Build and optimize Generative AI, Large Language Model (LLM), and Natural Language Processing (NLP) applications Develop intelligent automation systems and AI-powered products Train, fine-tune, evaluate, and monitor machine learning models Collaborate with software engineers, data scientists, and product teams to deliver AI-driven solutions Implement MLOps pipelines for model deployment, monitoring, and lifecycle management Research emerging AI technologies and contribute to innovation initiatives Ensure AI solutions are scalable, secure, and aligned with business objectives Requirements:Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field Strong proficiency in Python and machine learning concepts Experience with Tensor Flow, PyTorch, Scikit-learn, Lang Chain, or similar AI frameworks Knowledge of LLMs, Generative AI, NLP, prompt engineering, and vector databases Experience with cloud platforms such as AWS, Azure, or Google Cloud Familiarity with Docker, Kubernetes, APIs, and MLOps practices Strong analytical, problem-solving, and communication skills Benefits:Competitive salary package Performance-based bonuses Health and insurance benefits Professional development and AI certification support Exposure to cutting-edge AI technologies and regional innovation projects Career advancement opportunities Collaborative and innovation-driven work environment How to Apply:Please send your CV/Resume and a brief self-introduction to our recruitment team. Join us and help build next-generation AI solutions that drive digital transformation, automation, and business innovation across the region!