Automotive Engineer Jobs in UAE

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Job Purpose</strong></p><br><p>Lead the governance, technical assurance, and quality management of rail planning and development projects by establishing governance frameworks, overseeing compliance with approved standards throughout the project lifecycle, managing project risks and technical changes, and driving continuous improvement to ensure consistent, safe, and high-quality delivery of railway infrastructure projects.</p><br><p><strong>Roles and Responsibilities</strong></p><br><p><strong>Strategy</strong></p><br><p>• Develop and implement governance frameworks, technical assurance methodologies, and quality management processes for rail planning and development projects in alignment with RTA strategies and international railway best practices.</p><br><p>• Establish governance mechanisms for applying approved technical standards, reviewing design deviations, and managing requests for technical amendments across departmental projects.</p><br><p>• Lead the development and periodic review of governance policies, procedures, technical guidelines, and approval processes supporting project delivery.</p><br><p>• Drive continuous improvement initiatives by analyzing governance findings, project performance trends, technical audits, and lessons learned to strengthen project governance.</p><br><p>• Benchmark governance practices, project assurance methodologies, and technical review processes against leading railway authorities to enhance departmental performance.</p><br><p><strong>Operations</strong></p><br><p>• Lead governance reviews throughout the planning, design, implementation, commissioning, and handover phases, ensuring projects satisfy governance requirements before progressing through approval gates.</p><br><p>• Direct technical assurance activities by overseeing compliance with approved technical standards, specifications, and implementation requirements across all rail development projects.</p><br><p>• Oversee monitoring of project quality, technical compliance, and implementation progress through site reviews, governance assessments, and technical audits.</p><br><p>• Lead governance of Pilot, PAC and FAC processes, ensuring projects achieve operational, safety, and regulatory readiness before acceptance.</p><br><p>• Direct department-wide project risk reviews, ensuring technical, program, quality, and implementation risks are identified, monitored, mitigated, and escalated appropriately.</p><br><p>• Lead governance of project change requests, technical deviations, claims, and design modifications by evaluating their technical, financial, operational, and schedule implications</p><br><p>before approval.</p><br><p>• Oversee development and maintenance of rail project dashboards, ensuring timely reporting of project progress, governance status, technical performance, risks, and key decision points.</p><br><p>• Direct investigation of technical non-conformities and governance findings, ensuring corrective and preventive actions are implemented and monitored to closure.</p><br><p>• Oversee governance of project documentation, commissioning records, and Supply, Installation and Commissioning Files to ensure complete project close-out and successful</p><br><p>asset handover.</p><br><p>• Lead implementation of contractor and consultant performance evaluation frameworks, ensuring governance requirements are consistently applied across all projects.</p><br><p><strong>Product/Process Improvement</strong></p><br><p>• Drive initiatives that strengthen governance effectiveness, technical assurance practices, and project quality across the Rail Planning and Development Department.</p><br><p>• Promote digital governance tools, dashboards, and performance reporting solutions that improve project visibility and decision-making.</p><br><p>• Standardize governance reviews, technical approval procedures, documentation requirements, and quality assurance practices across departmental projects.</p><br><p>• Lead post-project evaluations and lessons learned programs to continuously improve governance frameworks, technical standards, and project delivery methodologies.</p><br><p>• Evaluate new governance initiatives, technical methodologies, and improvement opportunities to enhance departmental efficiency and project outcomes.</p><br><p><strong>Physical Working Conditions</strong></p><br><p>• Conduct site visits, inspections, and consultant reviews during all project phases, including construction, testing, and commissioning.</p><br> <p><strong>Qualifications</strong></p><br><ul><li>Bachelor's degree/ Master’s degree in civil engineering, railway engineering, transportation engineering, mechanical engineering, electrical engineering, Mechatronics Engineering or Electromechanical Engineering</li><li>Must have minimum 12+ Years of experience in case of Master’s degree (14+ years in case of Bachelor’s degree) in related field</li></ul> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Job Code:</strong> 145/001/553<br><strong>Industry:</strong> CNC Machining / Precision Engineering / Manufacturing<br><br>We are seeking an experienced <strong>Business Development Manager – CNC Machined Parts</strong> to drive sales growth in the UAE by winning new customers and developing repeat business with existing accounts.<br>The primary focus of the role is selling <strong>CNC machining services and parts manufactured to customer drawings and specifications</strong>. The role also covers <strong>welded fabrications</strong> where customer requirements align with the company’s manufacturing capabilities.<br><strong>Product / Service Portfolio:</strong><br><ul><li>CNC machined components</li><li>CNC machining services</li><li>Precision-engineered parts manufactured to customer drawings and specifications</li><li>Welded fabrications</li></ul><br><br><strong>Business Development and Sales</strong><br><ul><li>Identify and win UAE and export customers requiring CNC-machined components, including OEMs, equipment manufacturers, oil &amp; gas companies, and other related sectors.</li><li>Develop a focused account plan covering priority customers, decision-makers, and sales opportunities.</li><li>Generate enquiries through customer visits, prospecting, referrals, and industry networking.</li><li>Build relationships with procurement, engineering, production, and maintenance teams.</li><li>Convert initial enquiries into trial orders, repeat orders, and longer-term supply agreements.</li><li>Identify opportunities for welded fabrications alongside the core CNC machining offering.</li></ul><br><strong>Technical Sales and Quotations</strong><br><ul><li>Understand customer requirements, including drawings, materials, quantities, tolerances, finishes, inspection requirements, and delivery schedules.</li><li>Work with the estimation, engineering, and production teams to confirm manufacturing feasibility, pricing, and lead times.</li><li>Ensure enquiries contain sufficient technical and commercial information for accurate quotations.</li><li>Present quotations, follow up consistently, and negotiate within agreed pricing and margin limits.</li><li>Coordinate technical clarifications and communicate the company’s capabilities accurately.</li></ul><br><strong>Account Management and Delivery Coordination</strong><br><ul><li>Maintain ownership of customer relationships from initial enquiry through order delivery and repeat business.</li><li>Provide clear handovers of purchase orders, specifications, and agreed terms to internal teams.</li><li>Coordinate with production and quality teams to resolve customer concerns and communicate delivery updates.</li><li>Support Finance with payment follow-up and the resolution of commercial queries.</li><li>Gather customer feedback to improve service and identify further sales opportunities.</li></ul><br><strong>Sales Planning and Reporting</strong><br><ul><li>Maintain accurate records of customer activity, enquiries, quotations, and opportunities in the company’s CRM or sales reporting system.</li><li>Provide regular forecasts supported by realistic order values, expected close dates, and next actions.</li><li>Monitor competitor activity, customer buying requirements, and market pricing.</li><li>Contribute to sales budgeting and identify opportunities that suit the company’s available manufacturing capacity.</li></ul><br><br><ul><li>Demonstrated B2B sales or business development experience in <strong>CNC machining, precision engineering, subcontract manufacturing, or a closely related sector</strong>.</li><li>A proven record of winning industrial customers in the UAE.</li><li>An established network of relevant UAE procurement and engineering contacts would be a strong advantage.</li><li>Ability to read engineering drawings and discuss materials, machining processes, tolerances, and manufacturing requirements.</li><li>Commercial understanding of quotation preparation, pricing, gross margin, and payment terms.</li><li>Experience selling welded fabrications would be advantageous.</li><li>A qualification in Mechanical Engineering, Manufacturing, or a related discipline is preferred. Relevant technical sales experience will also be considered.</li><li>Strong communication and negotiation skills in English.</li><li>A valid <strong>UAE driving licence</strong> and willingness to travel regularly for customer visits.</li></ul><br><br><em>Please visit our </em><strong><em>jobs</em></strong><em> page to check out our current list of jobs in UAE and across the world.</em><br><em>Follow us on </em><strong><em>LinkedIn</em></strong><em> and </em><strong><em>Facebook</em></strong><em> to stay updated regarding our upcoming opportunities.</em><br><em>Subscribe to our </em><strong><em>LinkedIn newsletter</em></strong><em> for weekly job updates.</em><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>About the opportunity<br><p><strong>About the Applied AI Tribe</strong></p><br><br><p>The Applied AI Tribe is talabat's internal AI engine, a team obsessed with turning cutting-edge AI into genuine, measurable business value. We don't build AI for its own sake. Our north star is Net AI Value Delivered.</p><br><br><br><p><strong>We have shipped 40+ AI products across four strategic streams:</strong></p><br><br><p> - Product &amp; Tech Platform - AI capabilities embedded into talabat's core product and engineering platform.</p><br><br><p> - Business Automations - streamlined workflows that save real time and money across operations.</p><br><br><p> - Self-Serve AI Tools - empowering talabatis to build and use AI without needing to raise a ticket.</p><br><br><p> - Training &amp; Onboarding - upskilling the tribe so every team can participate in the AI era.</p><br><br><p>Our engineering approach is built around shipping agentic AI systems at scale, with a harness-first philosophy, evaluation embedded into every product iteration, and production feedback loops that drive the roadmap.</p><br><br><p><strong>The Role</strong></p><br><br><p>As Manager, Data Scientist - AI within the Applied AI Tribe, you will lead a team of data scientists building and shipping the ML and generative AI systems that power decisions across talabat's product and business. You are equally a people leader and a technical practitioner, close enough to the work to make great technical decisions and grow your team, while owning the roadmap and delivery.</p><br><br><p>Your team's work spans the full AI lifecycle: from framing ambiguous business problems through data modelling, feature engineering, model training, deployment, and production monitoring. A significant focus will be leveraging LLMs, agentic systems, and generative AI to automate decisions, enrich data, and build intelligent experiences at scale, all measured against Net AI Value Delivered.<br> </p><br><br><p><strong>What's On Your Plate?</strong></p><br><br><p>People Leadership:</p><br><br><p> - Lead, grow, and retain a team of data scientists, setting a high bar for technical quality, fostering a culture of ownership, and supporting each person's career development.</p><br><br><p> - Partner with recruiting to attract top data science and ML talent as the tribe scales.</p><br><br><p> - Mentor team members in ML best practices, agentic system design, production engineering, and stakeholder communication.</p><br><br><p> - Run effective team rituals, planning, design reviews, retrospectives, that keep the team aligned and moving with pace.</p><br><br><p>Technical Strategy &amp; Delivery:</p><br><br><p> - Translate ambiguous business problems into well-scoped ML and AI solutions with clear, measurable success criteria tied to the tribe's north star.</p><br><br><p> - Own the team's technical roadmap: prioritise high-impact work across data enrichment, business automation, self-serve tooling, and agentic product features.</p><br><br><p> - Champion harness-first thinking, ensure evaluation pipelines, LLM observability, tooling, and infrastructure are in place before agent logic is built on top.</p><br><br><p> - Embed evaluation into every product iteration: golden datasets, stakeholder-aligned metrics, and weekly eval jobs that guide what gets built, fixed, or retired.</p><br><br><p> - Oversee the full ML lifecycle: data pipelines, feature engineering, model training, production deployment, serving, and monitoring.</p><br><br><p> - Drive adoption of LLMs and generative AI for data enrichment, smart content understanding, and automated decision-making at scale.</p><br><br><p> - Design and analyse experiments (A/B and multivariate) to rigorously measure model and product impact.</p><br><br><p> - Elevate ML and engineering standards across the team, improving MLOps, code quality, tooling, and internal learning programmes.<br> <br> Cross-functional Partnership:</p><br><br><p> - Partner with product managers and business teams to identify high-value AI opportunities and shape them into the team's roadmap.</p><br><br><p> - Communicate clearly with senior stakeholders, from problem framing through to results and recommendations.</p><br><br><p> - Collaborate with engineering teams to understand data systems, build reliable data models, and ensure smooth production integration.</p><br><br>What you need to be successful<br><p><strong>What Did We Order?</strong></p><br><br><p><strong>Technical Experience</strong></p><br><br><p> - Deep expertise in machine learning, generative AI, deep learning, NLP, recommendation systems, and data mining.</p><br><br><p> - Hands-on knowledge of ML and GenAI frameworks: Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, Transformers, and LLM fine-tuning.</p><br><br><p> - Proficiency with the OpenAI SDK and familiarity with major LLM provider APIs for building and orchestrating production AI systems.</p><br><br><p> - Hands-on experience with LangGraph for building stateful, multi-step agentic workflows and complex agent orchestration patterns.</p><br><br><p> - Experience with Hugging Face (Transformers, Hub, Inference API) for model sourcing, fine-tuning, and deployment.</p><br><br><p> - Solid understanding of embeddings, dense and sparse retrieval, vector databases, and semantic search, for building RAG pipelines and similarity-based applications.</p><br><br><p> - Strong software engineering fundamentals: clean production code, data structures and algorithms, ML system design.</p><br><br><p> - Proven experience shipping and monitoring ML models in production, with a solid grasp of MLOps practices.</p><br><br><p> - Strong data and ML engineering skills: building and orchestrating data pipelines (e.g., Airflow) and robust feature engineering.</p><br><br><p> - Excellent SQL and Python; solid statistical foundations including experiment design, causal inference, and predictive methods.</p><br><br><p> - Familiarity with agentic system design (harness-first thinking, LLM observability, evaluation pipelines, and production feedback loops) is a strong plus.</p><br><br><p> - Experience with BigQuery and Google Cloud Platform is a plus.<br> </p><br><br><p><strong>Qualifications&nbsp;</strong></p><br><br><p> - Bachelor's degree in Engineering, Computer Science, or a related field. A postgraduate degree is a plus.</p><br><br><p> - 6+ years of experience in data science, ML engineering, and/or generative AI, including shipping models to production.</p><br><br><p> - 2+ years managing or leading a data science or ML team, with a track record of developing talent and delivering through others.</p><br><br><p> - Experience building ML systems in an online consumer product environment is a strong plus.</p><br><br>Who we are<br><p>Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.</p><br><br><p>We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.</p><br><br><p>Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.</p><br><br>What's in it for you<br><p>Mindset &amp; Ways of Working</p><br><br><p> - Curiosity over certainty: you're excited to try the new model or framework this week.</p><br><br><p> - Ownership: you treat cost, latency, and business impact as your problem, and your team's.</p><br><br><p> - Bias to build: a prototype in a real workflow beats a perfect design doc every time.</p><br><br><p> - Comfortable with ambiguity: most of what we build has no playbook yet, and you help write it.</p><br><br><p> - Keep it simple: pick the approach that delivers the most value with the least complexity, and #makeithappen.<br> </p><br><br><p><strong>At talabat, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters, and how you achieve it defines us. Together, they move the business forward and deliver great experiences. Learn more about our Leadership Principles here.</strong></p><br><br> <br><br> </div>

Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.<br><br>We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.<br><br>Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.<br><br><strong><strong>Job Description<br><br></strong></strong><strong>About the Applied AI Tribe<br><br></strong>The Applied AI Tribe is talabat's internal AI engine, a team obsessed with turning cutting-edge AI into genuine, measurable business value. We don't build AI for its own sake. Our north star is Net AI Value Delivered.<br><br><strong>We have shipped 40+ AI products across four strategic streams:<br><br></strong><ul><li> Product &amp; Tech Platform - AI capabilities embedded into talabat's core product and engineering platform.</li><li> Business Automations - streamlined workflows that save real time and money across operations.</li><li> Self-Serve AI Tools - empowering talabatis to build and use AI without needing to raise a ticket.</li><li> Training &amp; Onboarding - upskilling the tribe so every team can participate in the AI era.<br><br></li></ul>Our engineering approach is built around shipping agentic AI systems at scale, with a harness-first philosophy, evaluation embedded into every product iteration, and production feedback loops that drive the roadmap.<br><br><strong>The Role<br><br></strong>As Manager, Data Scientist - AI within the Applied AI Tribe, you will lead a team of data scientists building and shipping the ML and generative AI systems that power decisions across talabat's product and business. You are equally a people leader and a technical practitioner, close enough to the work to make great technical decisions and grow your team, while owning the roadmap and delivery.<br><br>Your team's work spans the full AI lifecycle: from framing ambiguous business problems through data modelling, feature engineering, model training, deployment, and production monitoring. A significant focus will be leveraging LLMs, agentic systems, and generative AI to automate decisions, enrich data, and build intelligent experiences at scale, all measured against Net AI Value Delivered.<br><br><strong>What's On Your Plate?<br><br></strong><strong>People Leadership:<br><br></strong><ul><li> Lead, grow, and retain a team of data scientists, setting a high bar for technical quality, fostering a culture of ownership, and supporting each person's career development.</li><li> Partner with recruiting to attract top data science and ML talent as the tribe scales.</li><li> Mentor team members in ML best practices, agentic system design, production engineering, and stakeholder communication.</li><li> Run effective team rituals, planning, design reviews, retrospectives, that keep the team aligned and moving with pace.<br><br></li></ul><strong>Technical Strategy &amp; Delivery:<br><br></strong><ul><li> Translate ambiguous business problems into well-scoped ML and AI solutions with clear, measurable success criteria tied to the tribe's north star.</li><li> Own the team's technical roadmap: prioritise high-impact work across data enrichment, business automation, self-serve tooling, and agentic product features.</li><li> Champion harness-first thinking, ensure evaluation pipelines, LLM observability, tooling, and infrastructure are in place before agent logic is built on top.</li><li> Embed evaluation into every product iteration: golden datasets, stakeholder-aligned metrics, and weekly eval jobs that guide what gets built, fixed, or retired.</li><li> Oversee the full ML lifecycle: data pipelines, feature engineering, model training, production deployment, serving, and monitoring.</li><li> Drive adoption of LLMs and generative AI for data enrichment, smart content understanding, and automated decision-making at scale.</li><li> Design and analyse experiments (A/B and multivariate) to rigorously measure model and product impact.</li><li> Elevate ML and engineering standards across the team, improving MLOps, code quality, tooling, and internal learning programmes.<br><br></li></ul><strong>Cross-functional Partnership:<br><br></strong><ul><li> Partner with product managers and business teams to identify high-value AI opportunities and shape them into the team's roadmap.</li><li> Communicate clearly with senior stakeholders, from problem framing through to results and recommendations.</li><li> Collaborate with engineering teams to understand data systems, build reliable data models, and ensure smooth production integration.<br><br></li></ul><strong><strong>Qualifications<br><br></strong></strong><strong>What Did We Order?<br><br></strong><strong><strong>Technical Experience<br><br></strong></strong><ul><li> Deep expertise in machine learning, generative AI, deep learning, NLP, recommendation systems, and data mining.</li><li> Hands-on knowledge of ML and GenAI frameworks: Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, Transformers, and LLM fine-tuning.</li><li> Proficiency with the OpenAI SDK and familiarity with major LLM provider APIs for building and orchestrating production AI systems.</li><li> Hands-on experience with LangGraph for building stateful, multi-step agentic workflows and complex agent orchestration patterns.</li><li> Experience with Hugging Face (Transformers, Hub, Inference API) for model sourcing, fine-tuning, and deployment.</li><li> Solid understanding of embeddings, dense and sparse retrieval, vector databases, and semantic search, for building RAG pipelines and similarity-based applications.</li><li> Strong software engineering fundamentals: clean production code, data structures and algorithms, ML system design.</li><li> Proven experience shipping and monitoring ML models in production, with a solid grasp of MLOps practices.</li><li> Strong data and ML engineering skills: building and orchestrating data pipelines (e.g., Airflow) and robust feature engineering.</li><li> Excellent SQL and Python; solid statistical foundations including experiment design, causal inference, and predictive methods.</li><li> Familiarity with agentic system design (harness-first thinking, LLM observability, evaluation pipelines, and production feedback loops) is a strong plus.</li><li> Experience with BigQuery and Google Cloud Platform is a plus.<br><br></li></ul><strong><strong>Qualifications <br><br></strong></strong><ul><li> Bachelor's degree in Engineering, Computer Science, or a related field. A postgraduate degree is a plus.</li><li> 6+ years of experience in data science, ML engineering, and/or generative AI, including shipping models to production.</li><li> 2+ years managing or leading a data science or ML team, with a track record of developing talent and delivering through others.</li><li> Experience building ML systems in an online consumer product environment is a strong plus.<br><br></li></ul><strong><strong>Additional Information<br><br></strong></strong>Mindset &amp; Ways of Working<br><br><ul><li> Curiosity over certainty: you're excited to try the new model or framework this week.</li><li> Ownership: you treat cost, latency, and business impact as your problem, and your team's.</li><li> Bias to build: a prototype in a real workflow beats a perfect design doc every time.</li><li> Comfortable with ambiguity: most of what we build has no playbook yet, and you help write it.</li><li> Keep it simple: pick the approach that delivers the most value with the least complexity, and #makeithappen.<br><br></li></ul><strong>At talabat, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters, and how you achieve it defines us. Together, they move the business forward and deliver great experiences. Learn more about our Leadership Principles here.</strong>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>About the opportunity<br><p><strong>About the Applied AI Tribe</strong></p><br><br><p>The Applied AI Tribe is talabat's internal AI engine, a team obsessed with turning cutting-edge AI into genuine, measurable business value. We don't build AI for its own sake. Our north star is Net AI Value Delivered.</p><br><br><br><p><strong>We have shipped 40+ AI products across four strategic streams:</strong></p><br><br><p> - Product &amp; Tech Platform - AI capabilities embedded into talabat's core product and engineering platform.</p><br><br><p> - Business Automations - streamlined workflows that save real time and money across operations.</p><br><br><p> - Self-Serve AI Tools - empowering talabatis to build and use AI without needing to raise a ticket.</p><br><br><p> - Training &amp; Onboarding - upskilling the tribe so every team can participate in the AI era.</p><br><br><p>Our engineering approach is built around shipping agentic AI systems at scale, with a harness-first philosophy, evaluation embedded into every product iteration, and production feedback loops that drive the roadmap.</p><br><br><p><strong>The Role</strong></p><br><br><p>As Manager, Data Scientist - AI within the Applied AI Tribe, you will lead a team of data scientists building and shipping the ML and generative AI systems that power decisions across talabat's product and business. You are equally a people leader and a technical practitioner, close enough to the work to make great technical decisions and grow your team, while owning the roadmap and delivery.</p><br><br><p>Your team's work spans the full AI lifecycle: from framing ambiguous business problems through data modelling, feature engineering, model training, deployment, and production monitoring. A significant focus will be leveraging LLMs, agentic systems, and generative AI to automate decisions, enrich data, and build intelligent experiences at scale, all measured against Net AI Value Delivered.<br> </p><br><br><p><strong>What's On Your Plate?</strong></p><br><br><p>People Leadership:</p><br><br><p> - Lead, grow, and retain a team of data scientists, setting a high bar for technical quality, fostering a culture of ownership, and supporting each person's career development.</p><br><br><p> - Partner with recruiting to attract top data science and ML talent as the tribe scales.</p><br><br><p> - Mentor team members in ML best practices, agentic system design, production engineering, and stakeholder communication.</p><br><br><p> - Run effective team rituals, planning, design reviews, retrospectives, that keep the team aligned and moving with pace.</p><br><br><p>Technical Strategy &amp; Delivery:</p><br><br><p> - Translate ambiguous business problems into well-scoped ML and AI solutions with clear, measurable success criteria tied to the tribe's north star.</p><br><br><p> - Own the team's technical roadmap: prioritise high-impact work across data enrichment, business automation, self-serve tooling, and agentic product features.</p><br><br><p> - Champion harness-first thinking, ensure evaluation pipelines, LLM observability, tooling, and infrastructure are in place before agent logic is built on top.</p><br><br><p> - Embed evaluation into every product iteration: golden datasets, stakeholder-aligned metrics, and weekly eval jobs that guide what gets built, fixed, or retired.</p><br><br><p> - Oversee the full ML lifecycle: data pipelines, feature engineering, model training, production deployment, serving, and monitoring.</p><br><br><p> - Drive adoption of LLMs and generative AI for data enrichment, smart content understanding, and automated decision-making at scale.</p><br><br><p> - Design and analyse experiments (A/B and multivariate) to rigorously measure model and product impact.</p><br><br><p> - Elevate ML and engineering standards across the team, improving MLOps, code quality, tooling, and internal learning programmes.<br> <br> Cross-functional Partnership:</p><br><br><p> - Partner with product managers and business teams to identify high-value AI opportunities and shape them into the team's roadmap.</p><br><br><p> - Communicate clearly with senior stakeholders, from problem framing through to results and recommendations.</p><br><br><p> - Collaborate with engineering teams to understand data systems, build reliable data models, and ensure smooth production integration.</p><br><br>What you need to be successful<br><p><strong>What Did We Order?</strong></p><br><br><p><strong>Technical Experience</strong></p><br><br><p> - Deep expertise in machine learning, generative AI, deep learning, NLP, recommendation systems, and data mining.</p><br><br><p> - Hands-on knowledge of ML and GenAI frameworks: Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, Transformers, and LLM fine-tuning.</p><br><br><p> - Proficiency with the OpenAI SDK and familiarity with major LLM provider APIs for building and orchestrating production AI systems.</p><br><br><p> - Hands-on experience with LangGraph for building stateful, multi-step agentic workflows and complex agent orchestration patterns.</p><br><br><p> - Experience with Hugging Face (Transformers, Hub, Inference API) for model sourcing, fine-tuning, and deployment.</p><br><br><p> - Solid understanding of embeddings, dense and sparse retrieval, vector databases, and semantic search, for building RAG pipelines and similarity-based applications.</p><br><br><p> - Strong software engineering fundamentals: clean production code, data structures and algorithms, ML system design.</p><br><br><p> - Proven experience shipping and monitoring ML models in production, with a solid grasp of MLOps practices.</p><br><br><p> - Strong data and ML engineering skills: building and orchestrating data pipelines (e.g., Airflow) and robust feature engineering.</p><br><br><p> - Excellent SQL and Python; solid statistical foundations including experiment design, causal inference, and predictive methods.</p><br><br><p> - Familiarity with agentic system design (harness-first thinking, LLM observability, evaluation pipelines, and production feedback loops) is a strong plus.</p><br><br><p> - Experience with BigQuery and Google Cloud Platform is a plus.<br> </p><br><br><p><strong>Qualifications&nbsp;</strong></p><br><br><p> - Bachelor's degree in Engineering, Computer Science, or a related field. A postgraduate degree is a plus.</p><br><br><p> - 6+ years of experience in data science, ML engineering, and/or generative AI, including shipping models to production.</p><br><br><p> - 2+ years managing or leading a data science or ML team, with a track record of developing talent and delivering through others.</p><br><br><p> - Experience building ML systems in an online consumer product environment is a strong plus.</p><br><br>Who we are<br><p>Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.</p><br><br><p>We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.</p><br><br><p>Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.</p><br><br>What's in it for you<br><p>Mindset &amp; Ways of Working</p><br><br><p> - Curiosity over certainty: you're excited to try the new model or framework this week.</p><br><br><p> - Ownership: you treat cost, latency, and business impact as your problem, and your team's.</p><br><br><p> - Bias to build: a prototype in a real workflow beats a perfect design doc every time.</p><br><br><p> - Comfortable with ambiguity: most of what we build has no playbook yet, and you help write it.</p><br><br><p> - Keep it simple: pick the approach that delivers the most value with the least complexity, and #makeithappen.<br> </p><br><br><p><strong>At talabat, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters, and how you achieve it defines us. Together, they move the business forward and deliver great experiences. Learn more about our Leadership Principles here.</strong></p><br><br> <br><br> </div>

Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.<br><br>We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.<br><br>Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.<br><br><strong><strong>Job Description<br><br></strong></strong><strong>About the Applied AI Tribe<br><br></strong>The Applied AI Tribe is talabat's internal AI engine, a team obsessed with turning cutting-edge AI into genuine, measurable business value. We don't build AI for its own sake. Our north star is Net AI Value Delivered.<br><br><strong>We have shipped 40+ AI products across four strategic streams:<br><br></strong><ul><li> Product &amp; Tech Platform - AI capabilities embedded into talabat's core product and engineering platform.</li><li> Business Automations - streamlined workflows that save real time and money across operations.</li><li> Self-Serve AI Tools - empowering talabatis to build and use AI without needing to raise a ticket.</li><li> Training &amp; Onboarding - upskilling the tribe so every team can participate in the AI era.<br><br></li></ul>Our engineering approach is built around shipping agentic AI systems at scale, with a harness-first philosophy, evaluation embedded into every product iteration, and production feedback loops that drive the roadmap.<br><br><strong>The Role<br><br></strong>As Manager, Data Scientist - AI within the Applied AI Tribe, you will lead a team of data scientists building and shipping the ML and generative AI systems that power decisions across talabat's product and business. You are equally a people leader and a technical practitioner, close enough to the work to make great technical decisions and grow your team, while owning the roadmap and delivery.<br><br>Your team's work spans the full AI lifecycle: from framing ambiguous business problems through data modelling, feature engineering, model training, deployment, and production monitoring. A significant focus will be leveraging LLMs, agentic systems, and generative AI to automate decisions, enrich data, and build intelligent experiences at scale, all measured against Net AI Value Delivered.<br><br><strong>What's On Your Plate?<br><br></strong><strong>People Leadership:<br><br></strong><ul><li> Lead, grow, and retain a team of data scientists, setting a high bar for technical quality, fostering a culture of ownership, and supporting each person's career development.</li><li> Partner with recruiting to attract top data science and ML talent as the tribe scales.</li><li> Mentor team members in ML best practices, agentic system design, production engineering, and stakeholder communication.</li><li> Run effective team rituals, planning, design reviews, retrospectives, that keep the team aligned and moving with pace.<br><br></li></ul><strong>Technical Strategy &amp; Delivery:<br><br></strong><ul><li> Translate ambiguous business problems into well-scoped ML and AI solutions with clear, measurable success criteria tied to the tribe's north star.</li><li> Own the team's technical roadmap: prioritise high-impact work across data enrichment, business automation, self-serve tooling, and agentic product features.</li><li> Champion harness-first thinking, ensure evaluation pipelines, LLM observability, tooling, and infrastructure are in place before agent logic is built on top.</li><li> Embed evaluation into every product iteration: golden datasets, stakeholder-aligned metrics, and weekly eval jobs that guide what gets built, fixed, or retired.</li><li> Oversee the full ML lifecycle: data pipelines, feature engineering, model training, production deployment, serving, and monitoring.</li><li> Drive adoption of LLMs and generative AI for data enrichment, smart content understanding, and automated decision-making at scale.</li><li> Design and analyse experiments (A/B and multivariate) to rigorously measure model and product impact.</li><li> Elevate ML and engineering standards across the team, improving MLOps, code quality, tooling, and internal learning programmes.<br><br></li></ul><strong>Cross-functional Partnership:<br><br></strong><ul><li> Partner with product managers and business teams to identify high-value AI opportunities and shape them into the team's roadmap.</li><li> Communicate clearly with senior stakeholders, from problem framing through to results and recommendations.</li><li> Collaborate with engineering teams to understand data systems, build reliable data models, and ensure smooth production integration.<br><br></li></ul><strong><strong>Qualifications<br><br></strong></strong><strong>What Did We Order?<br><br></strong><strong><strong>Technical Experience<br><br></strong></strong><ul><li> Deep expertise in machine learning, generative AI, deep learning, NLP, recommendation systems, and data mining.</li><li> Hands-on knowledge of ML and GenAI frameworks: Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, Transformers, and LLM fine-tuning.</li><li> Proficiency with the OpenAI SDK and familiarity with major LLM provider APIs for building and orchestrating production AI systems.</li><li> Hands-on experience with LangGraph for building stateful, multi-step agentic workflows and complex agent orchestration patterns.</li><li> Experience with Hugging Face (Transformers, Hub, Inference API) for model sourcing, fine-tuning, and deployment.</li><li> Solid understanding of embeddings, dense and sparse retrieval, vector databases, and semantic search, for building RAG pipelines and similarity-based applications.</li><li> Strong software engineering fundamentals: clean production code, data structures and algorithms, ML system design.</li><li> Proven experience shipping and monitoring ML models in production, with a solid grasp of MLOps practices.</li><li> Strong data and ML engineering skills: building and orchestrating data pipelines (e.g., Airflow) and robust feature engineering.</li><li> Excellent SQL and Python; solid statistical foundations including experiment design, causal inference, and predictive methods.</li><li> Familiarity with agentic system design (harness-first thinking, LLM observability, evaluation pipelines, and production feedback loops) is a strong plus.</li><li> Experience with BigQuery and Google Cloud Platform is a plus.<br><br></li></ul><strong><strong>Qualifications <br><br></strong></strong><ul><li> Bachelor's degree in Engineering, Computer Science, or a related field. A postgraduate degree is a plus.</li><li> 6+ years of experience in data science, ML engineering, and/or generative AI, including shipping models to production.</li><li> 2+ years managing or leading a data science or ML team, with a track record of developing talent and delivering through others.</li><li> Experience building ML systems in an online consumer product environment is a strong plus.<br><br></li></ul><strong><strong>Additional Information<br><br></strong></strong>Mindset &amp; Ways of Working<br><br><ul><li> Curiosity over certainty: you're excited to try the new model or framework this week.</li><li> Ownership: you treat cost, latency, and business impact as your problem, and your team's.</li><li> Bias to build: a prototype in a real workflow beats a perfect design doc every time.</li><li> Comfortable with ambiguity: most of what we build has no playbook yet, and you help write it.</li><li> Keep it simple: pick the approach that delivers the most value with the least complexity, and #makeithappen.<br><br></li></ul><strong>At talabat, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters, and how you achieve it defines us. Together, they move the business forward and deliver great experiences. Learn more about our Leadership Principles here.</strong>

Company Description Fujeng is an industrial and engineering-focused organization committed to delivering reliable, high-quality technical services and solutions. The company emphasizes operational excellence, safety, and long-term client partnerships across its projects. Fujeng supports modern facilities and infrastructure with robust maintenance practices and skilled technical teams. Team members benefit from a professional work environment that values continuous improvement, technical expertise, and collaboration. The company offers opportunities for growth for individuals who are dedicated to high standards of workmanship and safety.<br>Role Description The Maintenance Electrician role at Fujeng is a full-time, on-site position based in Dubai. The Maintenance Electrician will perform routine electrical maintenance, diagnose faults, and carry out repairs on equipment and systems to ensure safe and efficient operations. Responsibilities include inspecting electrical components, performing preventive maintenance, responding to breakdowns, and supporting installation and commissioning of electrical systems as needed. The role involves working closely with other maintenance and operations team members, following safety procedures, and maintaining accurate records of work performed. The Maintenance Electrician is expected to support continuous improvement efforts, minimize downtime, and uphold company standards for safety and reliability.<br>Qualifications<br> <br>Strong knowledge of Electrical Maintenance and Electricity principles, including safe work practices and applicable standards. Proficiency in Troubleshooting and Maintenance & Repair of electrical equipment and systems. Experience performing Preventive Maintenance to reduce downtime and extend equipment life. Relevant technical certification or diploma in electrical engineering or a related field. Previous experience as an industrial or facilities Maintenance Electrician, ideally in a manufacturing or engineering environment. Ability to read and interpret electrical drawings, schematics, and technical manuals. Attention to detail, strong problem-solving skills, and ability to work both independently and in a team. Willingness to work on-site in Dubai and comply with all health, safety, and environmental regulations.

Now Hiring: MEP Manager | Dubai, UAE<br>Sky High HR Solutions is inviting applications from highly experienced MEP Managers for a major bridge/infrastructure construction project in Dubai.<br>The successful candidate will lead and manage the complete Mechanical, Electrical and Plumbing scope, covering design and technical coordination, procurement support, construction, authority approvals, testing & commissioning, and final project handover. <br>Requirements- Bachelor’s Degree in Mechanical Engineering, Electrical Engineering, Building Services Engineering, or equivalent- Minimum 15 years of overall MEP construction experience- Significant UAE construction experience strongly preferred- Previous experience as an MEP Manager, Senior MEP Manager, or equivalent senior position- Proven track record delivering major construction projects- Experience in bridge, pedestrian bridge, infrastructure, transportation, metro, road, or similar multidisciplinary projects strongly preferred- Strong knowledge of DEWA and Dubai Municipality regulations and approval procedures- Knowledge and practical experience with RTA requirements and NOC procedures highly desirable- Proven experience managing MEP subcontractors and multidisciplinary site teams - Strong technical knowledge across electrical LV systems, power distribution, lighting, ELV, fire alarm, HVAC, plumbing, drainage, pumping, utilities, BIM/MEP coordination, T&C, and authority approvals - Strong leadership, technical problem-solving, subcontractor management, negotiation, multidisciplinary coordination, reporting, and communication skills- Commercial awareness of variations, additional works, and associated cost implications <br>This is a hands-on MEP Manager position requiring direct ownership of site execution, technical/interface resolution, subcontractor and supplier performance, authority coordination, and delivery in accordance with the project programme.

Now Hiring: 3D Printer Operator / Technician | Dubai<br>Sky High HR Solutions is inviting applications from experienced 3D Printer Operators / Technicians to support interior fit-out, joinery, and design operations.<br>The role involves producing prototypes, scale models, mock-ups, design components, and other project-specific 3D printed items while coordinating closely with Design, Technical, Production, and Project teams.<br>Key Responsibilities:• Operate and monitor 3D printers to produce prototypes, scale models, mock-ups, and design components<br>• Prepare 3D files for printing, including slicing, orientation, scaling, and support generation<br>• Coordinate with Design, Technical, Production, and Project teams to ensure outputs meet project specifications<br>• Perform post-processing activities including support removal, cleaning, finishing, and assembly<br>• Monitor print quality and troubleshoot issues such as warping, adhesion problems, layer defects, and failed prints<br>• Carry out routine cleaning, calibration, and preventive maintenance of 3D printing equipment<br>• Manage printing materials such as filaments and resins, monitor stock levels, and minimize wastage<br>• Maintain organized records of approved 3D files, print settings, machine usage, and completed models<br>• Ensure safe operation of equipment and maintain a clean and organized printing workspace<br>• Support design and technical teams in prototype development and design evaluation<br>Requirements:• Diploma or relevant technical qualification in 3D Printing, Mechanical Engineering, Product Design, Architecture, Interior Design, or a related field<br>• 2–4 years of hands-on experience operating 3D printing equipment<br>• Good understanding of 3D printing technologies, materials, and slicing software<br>• Ability to work with 3D/CAD files, dimensions, scale, and technical drawings<br>• Experience in interior design, architecture, joinery, fit-out, furniture, or engineering environments is an advantage<br>• Strong attention to detail, troubleshooting ability, and ability to work independently

Act as a trusted finance partner to Mirage and Rukn Mirage operational, engineering and project teams, providing clear financial insight, challenge and support to improve project profitability, cash conversion and business decision-making. Lead budgeting, rolling forecasts, project performance reporting and board-ready analysis across engineering and construction activities, with strong use of Oracle, Power BI, Microsoft Copilot and AI-enabled analytics to improve speed, accuracy and financial control.<br>Qualifications and Experience Bachelor’s degree in Finance, Accounting, Economics, Engineering Management or a related field. Master’s degree or professional qualification such as ACCA, CMA, CFA or equivalent is preferred. Minimum 8 to 10 years’ experience in FP&A, finance business partnering, project control or financial controlling, ideally within engineering, construction, contracting, real estate development or a project-based consultancy environment. Strong knowledge of construction project economics: budgets, cost-to-complete, committed cost, variation orders, claims, payment certificates, work in progress, project margin and cash flow. Solid understanding of IFRS, with practical exposure to IFRS 15 revenue recognition for long-term contracts and project-based performance obligations. Advanced capability in Excel, financial modelling, Power BI or similar reporting tools, with strong experience using ERP systems. Oracle Fusion experience is a strong advantage. Practical knowledge of Microsoft 365 Copilot and AI tools for financial analysis, management reporting, variance commentary, automation of recurring tasks and executive communication. UAE experience is preferred; regional exposure across KSA and Egypt is an advantage.<br>Key Responsibilities Financial Planning, Budgeting and Forecasting: lead annual budgets, rolling forecasts and multi-year plans for engineering and construction activities, by project, department and business unit. Project Performance Management: monitor actual results versus budget and forecast, analyse revenue, cost, gross margin, operating profit, utilization, productivity, committed cost and cost-to-complete. IFRS 15 and Project Revenue: support revenue recognition analysis based on contract terms, performance obligations, progress measurement, variations, claims and recoverability assumptions. Management Reporting: prepare monthly management packs, project dashboards, board-level summaries and concise commentary on key movements, risks, opportunities and required actions. Business Partnering: work closely with project directors, engineering, contracting, procurement, commercial and operations teams to challenge assumptions and support better financial decisions. Tendering and Commercial Support: support pricing, bid reviews, business cases, margin analysis and sensitivity scenarios for major contracts and strategic initiatives. Cash, Billing and Working Capital: track payment certificates, client invoicing, collections, retention, advances, supplier commitments and DSO, ensuring strong coordination with Accounting, AP and AR teams. Cost Control and Governance: improve financial discipline around purchase orders, supplier invoices, project coding, cost allocation, budget ownership and approval workflows. Oracle and Data Integrity: support Oracle Fusion implementation and continuous improvement, ensuring clean project master data, reliable reporting structures and alignment between Finance and Operations. AI, Copilot and Automation: use Microsoft Copilot, Power BI, Excel and AI-assisted workflows to accelerate analysis, automate recurring reports, improve variance explanations and create executive-ready insights while respecting data confidentiality and governance. KPI Development: design and monitor financial and operational KPIs, including project gross margin, earned value indicators, cost performance, schedule performance, utilization, billing progress, collections and forecast accuracy. Continuous Improvement: identify process gaps, manual controls and reporting inefficiencies, then propose practical improvements to strengthen planning, close, reporting and decision-making.<br>Only shortlisted candidates will be conducted

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Job Title:</strong> <strong>Product Manager</strong><br><strong>Location:</strong> <strong>Dubai, United Arab Emirates</strong><br><strong>Employment Type:</strong> <strong>FULL_TIME</strong><br><strong>Job Overview</strong><br>We are representing a dynamic and innovative organisation seeking a highly skilled <strong>Product Manager</strong> to join their team in <strong>Dubai</strong>. This is a fantastic <strong>full-time</strong> opportunity for a strategic professional who is passionate about building products that customers love. You will be responsible for the product planning and execution throughout the entire product lifecycle, from gathering and prioritising product and customer requirements to defining the product vision. You will work closely with engineering, sales, marketing, and support teams to ensure revenue and customer satisfaction goals are met.<br><strong>Key Responsibilities:</strong><br>- Define and maintain the product strategy and roadmap, aligning it with the overall business objectives.<br>- Gather and prioritise product requirements through market research, customer feedback, and data analysis.<br>- Work closely with cross-functional teams, including engineering and design, to deliver high-quality products on time.<br>- Create clear and concise product requirement documents, user stories, and specifications.<br>- Manage the product backlog and prioritise features based on business value and customer impact.<br>- Act as a product evangelist to build awareness and understanding both internally and with external stakeholders.<br>- Monitor product performance and key metrics to inform decision-making and drive continuous improvement.<br>- Conduct competitor analysis and stay informed about market trends to ensure a competitive product offering.<br><strong>Qualifications and Experience:</strong><br>- Proven experience as a Product Manager or in a similar product-focused role.<br>- Demonstrable experience managing the entire product lifecycle from concept to launch.<br>- A strong understanding of Agile development methodologies.<br>- Excellent analytical, problem-solving, and organisational skills.<br>- Exceptional communication, presentation, and interpersonal abilities.<br>- A track record of successfully managing projects and working effectively with cross-functional teams.<br>- A technical background or experience working with software development teams is highly advantageous.<br>- A Bachelor's degree in Business, Computer Science, Engineering, or a related field is preferred.</p><br><br> <br><br> </div>

<ul><li><p>Plan, manage, and monitor multiple Fire Fighting, Fire Alarm, and Emergency Lighting projects from initiation to completion.</p></li><li><p>Coordinate with clients, consultants, subcontractors, suppliers, and site teams to ensure smooth project execution.</p></li><li><p>Monitor project schedules, manpower, materials, and budgets.</p></li><li><p>Ensure all work complies with project specifications, local authority requirements, and safety regulations.</p></li><li><p>Coordinate procurement and ensure timely delivery of materials.</p></li><li><p>Attend project meetings and maintain effective communication with all stakeholders.</p></li><li><p>Prepare project progress reports, work schedules, and documentation.</p></li><li><p>Submit comprehensive <strong>weekly project status reports</strong> to the General Manager, highlighting progress, issues, risks, and action plans.</p></li><li><p>Support project testing, commissioning, handover, and close-out activities.</p></li><li><p>Assist in managing AMC contracts and follow-up activities where required.</p></li></ul><p><strong>Requirements</strong></p><ul><li><p>Bachelor's Degree or Diploma in Engineering (Mechanical, Electrical, Civil, or related field).</p></li><li><p>3–5 years of relevant project management experience.</p></li><li><p>Good knowledge of Fire Fighting, Fire Alarm, and Emergency Lighting systems.</p></li><li><p>Strong leadership, communication, and organizational skills.</p></li><li><p><strong>Advanced proficiency in Microsoft Excel</strong> (reporting, formulas, data analysis, and project tracking).</p></li><li><p>Proficiency in Microsoft Office and project management software such as Microsoft Project, Primavera P6, or equivalent.</p></li><li><p>Ability to prepare professional reports and maintain project documentation.</p></li><li><p>Valid UAE Driving Licence is preferred.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's Degree or Diploma in Engineering (Mechanical, Electrical, Civil, or related field).</p></li><li><p>3–5 years of relevant project management experience.</p></li><li><p>Good knowledge of Fire Fighting, Fire Alarm, and Emergency Lighting systems.</p></li><li><p>Strong leadership, communication, and organizational skills.</p></li><li><p><strong>Advanced proficiency in Microsoft Excel</strong> (reporting, formulas, data analysis, and project tracking).</p></li><li><p>Proficiency in Microsoft Office and project management software such as Microsoft Project, Primavera P6, or equivalent.</p></li><li><p>Ability to prepare professional reports and maintain project documentation.</p></li><li><p>Valid UAE Driving Licence is preferred.</p></li></ul>

<p><strong>Lead Cybersecurity Architect &amp; Engineering Lead</strong></p><p><strong>DXC Technology</strong></p><p><br></p><p><strong>Role Overview</strong></p><p>DXC Technology is seeking a <strong>Lead Cybersecurity Architect &amp; Engineering Lead</strong> to own the integrated cybersecurity architecture for a major greenfield enterprise transformation programme.</p><p><br></p><p>Working under the programme Design Authority, you will lead security design across segregated, air-gapped and cross-domain environments. You will coordinate specialist engineering teams across identity, cryptography, security operations, endpoint, data, application and OT/IoT security, ensuring a coherent architecture from design through implementation, testing and operational transition.</p><p><br></p><p>The role combines architecture ownership, technical direction and engineering governance, supported by domain specialists, OEM architects and delivery partners.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><strong>Cybersecurity Architecture &amp; Design Authority</strong></p><ul><li>Develop and maintain the integrated <strong>Cybersecurity High-Level Design (HLD)</strong>.</li><li>Lead and govern capability-specific <strong>Low-Level Designs (LLDs)</strong> produced by engineers, OEMs and domain specialists.</li><li>Define security principles, standards, architecture patterns and secure-by-design requirements.</li><li>Design security controls for segregated, air-gapped and cross-domain environments.</li><li>Maintain traceability between requirements, designs, implementation decisions and the <strong>Bill of Quantities (BoQ)</strong>.</li><li>Lead architecture reviews and support Design Authority approvals.</li><li>Align designs with applicable security, privacy and regulatory requirements.</li></ul><p><strong>Security Capability Integration</strong></p><ul><li>Lead architecture across IAM, PAM, PKI, cryptography, security operations, endpoint protection, data protection and application security.</li><li>Define the monitoring, detection, response and automation architecture across SIEM, SOAR, SOC and related capabilities.</li><li>Govern specialist development of detection content, response playbooks and security integrations.</li><li>Define secure integration requirements across applications, infrastructure and cybersecurity platforms.</li><li>Coordinate with network, infrastructure, applications, smart-campus and service-management workstreams.</li><li>Integrate OT/IoT security, resilience and cyber recovery requirements into the overall design.</li></ul><p><strong>Engineering Leadership &amp; Vendor Coordination</strong></p><ul><li>Provide technical direction to multidisciplinary cybersecurity engineers and domain specialists.</li><li>Review detailed designs, configurations and implementation approaches against the approved architecture.</li><li>Coordinate OEM and vendor inputs and resolve cross-platform technical issues.</li><li>Challenge design proposals constructively and manage technical decisions, risks and dependencies.</li><li>Validate platform sizing, licensing, support requirements and BoQ quantities.</li><li>Identify opportunities to optimise solutions while maintaining security and operational requirements.</li></ul><p><strong>Testing, Go-Live &amp; Operational Transition</strong></p><ul><li>Define cybersecurity testing, acceptance criteria and assurance requirements.</li><li>Coordinate validation activities across engineering, application and OEM teams.</li><li>Review material security findings, design deviations and remediation proposals.</li><li>Support go-live readiness, operational handover and transition to support teams.</li><li>Provide security recommendations for interim and transitional application environments.</li><li>Communicate progress, risks, dependencies and required decisions to programme stakeholders.</li></ul><p><strong>Required Qualifications &amp; Experience</strong></p><ul><li>Bachelor’s degree in Cybersecurity, Information Security, Computer Science, Engineering or a related discipline, or equivalent professional experience.</li><li><strong>At least 12 years of relevant cybersecurity experience</strong>.</li><li><strong>At least 5 years leading security architecture or engineering activities</strong> for complex enterprise, government, defence or critical-infrastructure programmes.</li><li>Demonstrated experience coordinating multidisciplinary cybersecurity teams, OEMs and vendors.</li><li>Strong experience producing HLDs and governing detailed security designs.</li><li>Experience architecting segregated, air-gapped or cross-domain environments.</li><li>Experience with cybersecurity solution sizing, licensing and BoQ development.</li><li>Strong technical writing, stakeholder management, analytical and problem-solving skills.</li><li>Fluent written and spoken English.</li></ul><p><strong>Technical Expertise</strong></p><p>Strong architecture experience across several of the following domains:</p><ul><li><strong>Identity &amp; Access:</strong> Identity governance, SSO, MFA, PAM and secrets management.</li><li><strong>Cryptography:</strong> PKI, HSM, certificate lifecycle, encryption and key management.</li><li><strong>Security Operations:</strong> SIEM, SOAR, SOC, NDR, UEBA and threat intelligence.</li><li><strong>Endpoint &amp; Workload Security:</strong> EDR/XDR and endpoint or workload protection.</li><li><strong>Data Security:</strong> Data classification, DLP, database monitoring and encryption.</li><li><strong>Application Security:</strong> API security, secure SDLC and application protection.</li><li><strong>Security Assurance:</strong> Vulnerability, configuration and integrity management.</li><li><strong>OT &amp; IoT Security:</strong> Industrial, connected-building and smart-campus environments.</li><li><strong>Resilience:</strong> Disaster recovery, cyber recovery and security continuity.</li><li><strong>Cloud Security:</strong> Hybrid and sovereign-cloud architectures.</li></ul><p><strong>Preferred Qualifications &amp; Experience</strong></p><ul><li>Experience in defence, government or critical-infrastructure transformation programmes.</li><li>Experience delivering large-scale greenfield programmes within multi-vendor systems-integration environments.</li><li>GCC stakeholder-engagement experience.</li><li>Experience governing security implementation through testing, go-live and transition.</li><li>Exposure to OT, IoT, physical-security or smart-campus environments.</li><li><strong>CISSP, CISSP-ISSAP, CISM, SABSA or TOGAF certification</strong>.</li><li>Relevant cloud, vendor or OT security certifications.</li><li>ISO 27001, CISA, CRISC, GICSP, SANS/GIAC or ITIL credentials.</li><li>Arabic language proficiency.</li></ul><p><br></p><p><strong>What We Look For</strong></p><p>We are looking for a senior technical leader who can integrate specialist inputs into a coherent enterprise security architecture and maintain clear ownership of design quality.</p><p>You should combine sound security judgement with engineering leadership, commercial awareness and the ability to guide multiple teams through complex design and delivery decisions.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><span><strong>Petrofac is a leading international service provider to the energy industry, with a diverse client portfolio including many of the world’s leading energy companies.</strong></span></span></p><br><p><span><span>We design, build, manage and maintain infrastructure for our clients. We recruit, reward, and develop our people based on merit regardless of race, nationality, religion, gender, age, sexual orientation, marital status, or disability. We value our people and treat everyone who works for or with Petrofac fairly and without discrimination.</span></span></p><br><p><span><span>The world is re-thinking its energy supply and energy security needs, planning for a phased transition to alternative energy sources. We are here to help our clients meet these evolving energy needs.</span></span></p><br><p><span><span>This is an exciting time to join us on this journey.</span></span></p><br><p><span><span>We support flexible working requests and have adopted a hybrid approach for most of our office-based roles. We ask employees to be present in the office at least three days per week.</span></span></p><br><p><span><i><span><strong>Are you ready to bring the right energy to Petrofac and help us deliver a better future for everyone?</strong></span></i></span></p><br><p><span><span><strong>JOB TITLE: MANAGER – MECHANICAL ROTATING</strong></span></span></p><br><p><span><span><strong>KEY RESPONSIBILITIES:</strong></span></span></p><br><p><span><span>·</span></span><span><span>Supervise and lead a team of engineers and designers and provide mechanical engineering input for proposal engineering and for project execution covering the entire project life cycle from field development study, through design to operational support and troubleshooting. Provide necessary technical information for procurement in compliance with tender specifications/data sheets within budgeted man-hour and project schedules.</span></span></p><br><p><span><span>·</span></span><span><span>Review of ITT, identification of scope and technical requirements, identify areas of concern and risk, and directs the Teams to develop Risk and Opportunity Register</span></span></p><br><p><span><span>·</span></span><span><span>Critically review the sizing and configuration and identify the areas of optimization and potential cost savings.</span></span></p><br><p><span><span>·</span></span><span><span>Review and moderate the equipment cost and man-hour estimate as required.</span></span></p><br><p><span><span>·</span></span><span><span>Perform Contract Review exercise and identify the inconsistencies related to scope of work and supply, HSE and technical requirements.</span></span></p><br><p><span><span>·</span></span><span><span>Verify and conceptualize the most optimum work route. Identify a clear scope of work/supply and accordingly plan/schedule the engineering activities and manpower resource.</span><span>Identify and quantify total number of engineering deliverables, man-hour allocation, format of delivery, time schedules and other requirements for execution of the work.</span></span></p><br><p><span><span>·</span></span><span><span>Coordinate with projects and planning on project time schedule, establish target completion dates &amp; ensure target dates are achieved.</span></span></p><br><p><span><span>·</span></span><span><span>Develop Manpower charts and schedules, recommend, assign, and distribute manpower for the execution of engineering activities within budgeted project man-hours.</span><span>Recommend cost effective measures to reduce overall manpower costs.</span></span></p><br><p><span><span>·</span></span><span><span>Review and identify design inputs from other discipline documents such as environmental regulations, hazardous area classifications, process design basis, project specifications, process data sheets, P&amp;IDs, key SLD, control system block diagram, piping material specifications, electrical and instrumentation specifications for packages.</span></span></p><br><p><span><span>·</span></span><span><span>Critically review and check all project deliverables such as design basis, data sheets, specifications, RFQs, TBEs, PRs generated by Team.</span></span></p><br><p><span><span>·</span></span><span><span>Co-ordinate and participate in various vendor discussions for technical and commercial evaluation of vendor offers.</span></span></p><br><p><span><span>·</span></span><span><span>Administrate the preparation of Purchase Requisitions for the procurement of equipment and materials. Review vendor quality plans, ensure vendor equipment’s compatibility and compliance with the scope of client specifications. Coordinate with procurement, ascertain expedite of materials and equipment to site.</span></span></p><br><p><span><span>·</span></span><span><span>Perform vendor document review and check for completeness, correctness and consistency of comments generated by the Team and other disciplines.</span></span></p><br><p><span><span>·</span></span><span><span>Interface and regularly meet with client and vendor representatives, conduct internal staff meetings, ensure the progress of project in accordance to schedule, allotted man hours and budgeted costs. Coordinate with projects and planning departments on schedule related issues.</span><span>Update TDR progress reports through the use of PETROCEPT software.</span></span></p><br><p><span><span>·</span></span><span><span>Provide inputs for the preparation of plot plans, organize the issuance of engineering drawings and technical documents for Inter-Discipline Checks (IDC’s) coordinate with other engineering disciplines in the integration of data inputs.</span></span></p><br><p><span><span>·</span></span><span><span>Monitor and ensure the team focuses on co-coordinating and managing technical interfaces amongst various disciplines and adequately capture changes as work progresses.</span></span></p><br><p><span><span>·</span></span><span><span>Interact with Quality Assurance for quality issues; strictly ensure compliance with Company’s ISO Quality procedures. Coordinate Internal and Client audit requests; facilitate audit procedures of engineering systems within the department.</span></span></p><br><p><span><span>·</span></span><span><span>Interface and provide clarification / guidance / technical support to construction site and commissioning engineers, provide start-up assistance as required.</span></span></p><br><p><span><span>·</span></span><span><span>As a Technical expert in equipment packages, supervise and guide engineers involved in detail engineering of projects.</span></span></p><br><p><span><span>·</span></span><span><span>Perform departmental duties on development of standards, training and development of young engineers.</span></span></p><br><p><span><span>·</span></span><span><span>Facilitate the manpower recruitment process in co-ordination with HR.</span></span></p><br><p><span><span>·</span></span><span><span>Plan and allocate manpower resources for executing the different projects, proposals and other activities of the Discipline.</span></span></p><br><p><span><span>·</span></span><span><span>Play a leading role in technological and design improvement for the department in consultation with technical specialists in the group.</span></span></p><br><p><span><span>·</span></span><span><span>Identify employee strengths and weakn</span></span></p> </div>

<p>Position Title: Sr Façade Estimator - Aluminum & Glass Employment Type: Full Time Salary: up to 13K AED inclusive, depending on experience and qualifications Job Location: Dubai About the Client: One of the trusted names in Aluminum and Glass fabrication, based in Dubai. Job Description: -Prepare accurate cost estimates, quantity take-offs, and budgets for aluminium, glass, curtain wall, cladding, windows, doors, skylights, and façade systems. - Manage the complete tendering process including RFQs, supplier pricing, bid evaluation, value engineering, and tender submissions. -Coordinate with design, engineering, procurement, and project teams to develop cost-effective technical solutions while ensuring compliance with project specifications. -Support project execution through tender handovers, variation pricing, cost control, benchmarking, and maintaining historical cost databases.</p><p>-Open to male Indian nationals, aged 40 years old and below. -Bachelor’s Degree in Civil Engineering, Architecture, Quantity Surveying, or a related field. -Minimum 5 years of UAE/GCC façade estimation experience with strong expertise in aluminium and glass systems, including curtain walls, unitized systems, stick systems, windows, doors, skylights, cladding, and structural glazing. -Advanced proficiency in AutoCAD, Excel, Bluebeam, PlanSwift, and LogiKal/Orgadata. </p>

<p>Position Title: Sr Façade Estimator - Aluminum & Glass Employment Type: Full Time Salary: up to 13K AED inclusive, depending on experience and qualifications Job Location: Dubai About the Client: One of the trusted names in Aluminum and Glass fabrication, based in Dubai. Job Description: -Prepare accurate cost estimates, quantity take-offs, and budgets for aluminium, glass, curtain wall, cladding, windows, doors, skylights, and façade systems. - Manage the complete tendering process including RFQs, supplier pricing, bid evaluation, value engineering, and tender submissions. -Coordinate with design, engineering, procurement, and project teams to develop cost-effective technical solutions while ensuring compliance with project specifications. -Support project execution through tender handovers, variation pricing, cost control, benchmarking, and maintaining historical cost databases.</p><p>-Open to male Indian nationals, aged 40 years old and below. -Bachelor’s Degree in Civil Engineering, Architecture, Quantity Surveying, or a related field. -Minimum 5 years of UAE/GCC façade estimation experience with strong expertise in aluminium and glass systems, including curtain walls, unitized systems, stick systems, windows, doors, skylights, cladding, and structural glazing. -Advanced proficiency in AutoCAD, Excel, Bluebeam, PlanSwift, and LogiKal/Orgadata. </p>

<ol><li><p>Review architectural and engineering plans for new healthcare facilities and renovation projects, ensuring compliance with licensing requirements, standards, and regulations.</p></li><li><p>Ensure that designs comply with building codes, healthcare engineering guidelines, and local and international safety standards to safeguard the well-being of staff and patients.</p></li><li><p>Conduct site inspections during the construction or renovation phases of healthcare facilities to ensure compliance with approved designs and regulatory requirements.</p></li><li><p>Compare engineering plans with internationally approved standards and implement the necessary corrective actions to ensure facility compliance.</p></li><li><p>Ensure the integration of infection prevention and control, patient safety, and patient journey requirements throughout all stages of healthcare facility design and development.</p></li><li><p>Develop and update guidelines and manuals related to the design and construction of healthcare facilities to ensure a safe, high-quality environment, keeping pace with the latest developments in regulations and licensing standards.</p></li><li><p>Assess the suitability of geographical locations and internal facilities of healthcare establishments in terms of patient accessibility and operational efficiency.</p></li><li><p>Perform any other related duties assigned by the direct supervisor.</p></li></ol><p><strong>Desired Candidate Profile</strong></p><p>Educational Qualification: Bachelor's Degree in Architectural Engineering. Work Experience: No prior work experience required.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Title:</b></p><br><br>Document Controller<br><br><br><p><i><b>"Belong, Connect, Grow, with KBR!</b></i></p><br><br><br><p><i><b>The KBR team of teams delivers future-forward science, technology and engineering solutions and mission-critical services that help governments and companies around the world accomplish their most important objectives, while also helping achieve their sustainability goals.</b></i></p><br><br><br><p><i><b>KBR Sustainable Technology Solutions provides holistic and value-added solutions across the entire asset life cycle. These include world-class licensed process technologies, differentiated advisory services, deep technical domain expertise, energy transition solutions, high-end design and engineering capabilities, and smart solutions to optimize planned and operating assets."</b></i></p><br><br><br><p>KBR is looking for a <b>Document Controller </b>for a <b>PMC project </b>with <b>NGL/ Gas Processing experience to be based in Abu Dhabi.</b></p><br><br><br><p><span><b><u>Experience required:</u></b></span></p><br><br><br><ul><li><span>Minimum Overall 5+ years of oil &amp; gas experience.</span></li></ul><ul><li>Must have handled mega Oil &amp; Gas FEED/ EPC Projects (more than 1 billion US$).</li></ul><ul><li><span>Experience within EPC &amp; Detail Engineering projects.</span></li><li><span>Experience in Projects involving NGL/ Gas Processing Plants.</span></li><li><span>Bachelor’s degree in engineering is a must.</span></li></ul><br><p><span>Interested and suitable candidates who are matching the above criteria please apply for the role. Suitable candidates will be contacted directly.</span></p><br><br><br><br><br><br><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Title:</b></p><br><br>Superintendent, Commissioning<br><br><p><i><b>Belong, Connect, Grow, with KBR! </b></i></p><br><br><p><i><b>The KBR team of teams delivers future-forward science, technology and engineering solutions and mission-critical services that help governments and companies around the world accomplish their most important objectives, while also helping achieve their sustainability goals.</b></i></p><br><br><p><i><b>KBR Sustainable Technology Solutions provides holistic and value-added solutions across the entire asset life cycle. These include world-class licensed process technologies, differentiated advisory services, deep technical domain expertise, energy transition solutions, high-end design and engineering capabilities, and smart solutions to optimize planned and operating assets."</b></i></p><br><br><p>KBR is looking for a <b>Commissioning Superintendent </b>for a <b>PMC project </b>with <b>NGL/ Gas Processing experience to be based in Abu Dhabi.</b></p><br><br><p><b><u>Experience required:</u></b></p><br><br><ul><li>Minimum 18+ years of oil &amp; gas experience in process or mechanical commissioning.</li><li>Must have handled mega Oil &amp; Gas FEED/ EPC Projects (more than 1 billion US$).</li><li>Experience within EPC &amp; Detail Engineering projects.</li><li>Experience in Projects involving NGL/ Gas Processing Plants.</li><li>Bachelor’s degree in chemical or mechanical engineering is a must.</li></ul><br><p>Interested and suitable candidates who are matching the above criteria please apply for the role. Suitable candidates will be contacted directly.</p><br><br><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job Roads BIM Modeler - Civil 3D <p>Key Responsibilities:</p><br> <ul><li>Develop and maintain coordinated Civil 3D BIM models for roads and junctions, including alignments, profiles, grading, corridors, and surfaces</li><li>Prepare detailed road plans, profiles, cross sections, construction drawings, and setting-out information.<br></li><li>Develop coordinated Civil 3D corridors and ensure model accuracy and consistency across design deliverables.<br></li><li>Produce design information and model outputs for external traffic and Road Safety Audit (RSA) specialists.<br></li><li>Support constructability reviews, design coordination, and design revisions.<br></li><li>Coordinate civil design elements with drainage, earthworks, utilities, and other project interfaces.<br></li><li>Use Vehicle Tracking to support road and junction design development and validation.<br></li></ul> <p>Key Qualifications:</p><br> <ul><li>Bachelor's degree in Civil Engineering or Highway Engineering.</li><li>Minimum 7 years of total professional experience.<br></li><li>Minimum 5 years of experience producing detailed road and junction designs.<br></li><li>Minimum 2 years of UAE experience delivering coordinated Civil 3D corridors, profiles, cross sections, and construction drawings.<br></li><li>Advanced proficiency in AutoCAD Civil 3D and AutoCAD.<br></li><li>Working proficiency in Vehicle Tracking software.<br></li><li>Strong technical understanding of road drainage, earthworks, and utility interfaces.<br></li><li>Proven ability to develop accurate, coordinated BIM models and detailed civil engineering deliverables.</li></ul> <p>Vertical: Digital Engineering</p><br> <br> <br> </div>