Automotive Engineer Jobs in UAE

Job Responsibilities1. Maintain good relationships with local distributors, contractors and engineering consultants to promote brand specification and project endorsement; develop local small and medium-sized engineering projects and retail dealer outlets.2. Conduct on-site product demonstrations and construction site technical coordination; follow up local order delivery and daily inventory management of local warehouse stock.3. Manage daily local customer maintenance, handle after-sales service and quality warranty issues, and complete monthly customer visit and payment collection KPIs.4. Continuously collect market intelligence, including competitor dynamics, project tendering information and local building material price trends, and submit regular market reports. Job Requirements1. Local Regional Sales (Local Hire): Based locally in Iran / Iraq / Turkey / UAE, able to work full-time and develop the local regional market independently.2. Language: Proficient in business English (listening, speaking, reading and writing); fluent in the local official language (Arabic / Turkish / Farsi) is preferred with competitive salary premium.3. Experience: At least 2 years of local sales experience in building materials, coatings or construction engineering industries, familiar with local regional project operation procedures and market rules.4. Capabilities: Candidates with existing local engineering resources, dealer channels and contractor resources are highly preferred; valid driving license available for frequent field market visits; proficient in office software and Excel data statistics; able to work under pressure, familiar with local business etiquette and regional cultural customs.5. Preferred background: Familiar with protective coatings, floor paint and waterproofing products; with practical experience in following up large-scale infrastructure and construction projects. Benefits Competitive local salary (paid in local currency) + high performance commission Local medical insurance & transportation allowance Festival bonus & annual salary increment mechanism Stable long-term regional development resources and brand support

<p>Responsibilities include, but are not limited to: 1. Participate in project bidding, feasibility studies, cost analysis, basic design, detailed design, and engineering management for industrial sector (specifically in water treatment and desalination) and marine sector projects. 2. Support business development activities, including technical proposal preparation, bills of quantities (BOQs), tender drawings compilation and pre-bid technical consultation for new potential projects. 3. Develop and formulate geological investigation programs; independently review geotechnical investigation reports issued by third parties and deliver formal technical comments, engineering recommendations and optimisation measures. 4. Supervise and coordinate third-party geotechnical site investigation, including site reconnaissance, drilling layout planning, borehole logging, in-situ field testing (SPT, CPT, Plate Load Test), sampling management, and testing laboratories for geomechanical laboratory testing. 5. Perform comprehensive geotechnical analysis and engineering design, covering shallow and deep foundation design, piled foundation optimisation, soil improvement, dewatering system design, retaining structure calculation, slope stability analysis and settlement prediction, with full consideration of local complex geological conditions. 6. Carry out technical review of contractor submittals, construction method statements and third-party geotechnical reports; provide professional technical comments, optimisation solutions and technical approval opinions. 7. Provide professional geotechnical consultancy, maintain efficient communication and coordination with clients, design consultants, main contractors and local government authorities, and attend regular technical review meetings. 8. Provide on-site geotechnical construction supervision and technical support, monitor foundation construction, piling works and ground improvement implementation progress; identify construction risks, handle geotechnical emergencies and solve complex on-site technical difficulties. 9. Communicate and coordinate efficiently with internal teams, clients, main contractors, subcontractors, third-party consultants and local government authorities; attend regular technical meetings, progress meetings and design review meetings, and issue official technical correspondence. 10. Carry out technical research, scheme optimisation and technical verification for soil improvement and treatment works (including dynamic compaction, vibro compaction, stone column, preloading and grouting treatment, etc.) applicable to local desert and coastal soil. 11. Assume responsibility for guiding and cultivating young engineering professionals. 12. Responsible for the development and preparation of specialized, standardized documentation and calculation sheets across bidding, basic design, and detailed design phases, ensuring consistency, accuracy, and compliance with applicable standards.</p><p>1. Bachelor’s degree or higher in Geotechnical Engineering or Geological Engineering, Civil Engineering or a related field. 2. Minimum 8 years of geotechnical engineering working experience, especially in the MENA region. 3. Proficient in Gulf local codes, ASTM, BS, Eurocode and international geotechnical specifications. Understanding of seismic design requirements for the MENA region. 4. Demonstrated experience in independently completing bidding, basic design, and detailed design for industrial projects, including: • Expert in support system design for deep or large-scale excavation pits and slope stability analysis (natural slopes, embankments, cut slopes). • Expert in developing soil treatment strategies based on geological survey reports (covering various methods such as dynamic compaction, cast-in-place piles, precast piles, CFG piles, and cement-soil mixing piles), and, in soft soil conditions, effectively addressing the impact of post-construction settlement. • Proficiency in deep excavation & shoring design, dewatering, and groundwater control in high-water-table areas. • Proficiency in design of shallow foundations (strip, pad, raft) and deep foundations (bored piles, driven piles, micropiles, barrettes). • Proficiency in pile capacity analysis, pile driveability, settlement calculation, and liquefaction assessment. • Experienced in design of trench excavation, bedding, backfill, and soil treatment for buried pipelines, including special considerations for soft soil, rock, and variable ground conditions. • know of the design and coordination of pipeline crossings, including raods/railways/river. 5. Strong communication, coordination, and teamwork abilities, with the capability to perform effectively in multicultural and high-pressure environments. 6. Passionate about the water industry and committed to professional excellence. 7. Proficiency in PLAXIS 2D/3D, GeoStudio, Settle3, AutoCAD, borehole logging software and office data analysis tools. Experience with 3D numerical modelling and FEM analysis is a strong plus.</p>

<ul><li><p>Accurately measure and estimate quantities of materials and labor required for civil engineering projects, ensuring cost-effectiveness and adherence to specifications.</p></li><li><p>Develop and manage detailed cost plans and budgets, tracking expenditures and identifying potential cost overruns proactively.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's degree/Diploma in Quantity Surveying, Civil Engineering, Construction Management, or a related field.</p></li><li><p>Minimum of 5-8 years of progressive experience specifically within the civil engineering construction sector.</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <ul><li><strong>Role&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : </strong><span><span><strong>Head of Digital Architect&nbsp;</strong></span></span><br><strong>Location :</strong> Abu Dhabi<br><strong>Role Purpose:</strong><br>The Head of Digital Architect is accountable for defining, governing and continuously evolving ADIB’s Digital Ecosystem architecture. This includes digital channels, mobile and web experiences, APIs, microservices, integration layers, identity and access capabilities, CRM and customer engagement platforms, data and analytics interfaces, AI-enabled capabilities, partner&nbsp;integrations&nbsp;and supporting platform services.&nbsp;The role ensures that digital solutions are designed as part of a cohesive, secure, scalable,&nbsp;resilient&nbsp;and future-ready ecosystem aligned with business strategy, enterprise architecture principles, regulatory&nbsp;expectations&nbsp;and customer experience ambitions.<br>&nbsp;&nbsp;&nbsp;&nbsp;<br><strong>Key Accountabilities of the role&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;</strong><br>Define and&nbsp;maintain&nbsp;the target-state architecture for the Digital Ecosystem across mobile, web, API, microservices, integration, identity, data,&nbsp;AI&nbsp;and partner-facing capabilities.&nbsp;</li><li><p>Translate digital business priorities and product roadmaps into&nbsp;architecture&nbsp;roadmaps, transition&nbsp;states&nbsp;and platform evolution plans.&nbsp;</p><br></li><li><p>Ensure digital architecture decisions support speed to market while protecting long-term platform health, scalability, resilience and maintainability.&nbsp;</p><br></li><li><p>Architect digital capabilities to provide consistent,&nbsp;secure&nbsp;and high-performing customer experiences across digital channels.&nbsp;</p><br></li><li><p>Promote reusable customer, product, authentication, notification,&nbsp;communication&nbsp;and servicing capabilities across the ecosystem.&nbsp;</p><br></li><li><p>Ensure digital journeys are designed with clear consideration for performance, availability, observability, accessibility,&nbsp;security&nbsp;and operational support.&nbsp;</p><br></li><li>Define and govern API-first architecture principles, API standards, service boundaries, interface contracts and integration patterns.&nbsp;</li><li>Guide secure and scalable integration with core banking, cards, payments, CRM, risk, fraud, identity, analytics, third-party providers and fintech partners.&nbsp;</li><li>Ensure ecosystem integrations are designed with clear ownership, versioning, error handling, throttling, monitoring, resilience and lifecycle management.</li><li><p>Provide architecture direction for microservices, event-driven patterns, container platforms, cloud-native&nbsp;capabilities&nbsp;and digital platform modernization.&nbsp;</p><br></li><li><p>Define reusable reference architectures, technology&nbsp;patterns&nbsp;and design guardrails to reduce duplication and improve consistency across squads.&nbsp;</p><br></li><li><p>Assess platform constraints, architecture debt, technology&nbsp;obsolescence&nbsp;and scalability risks, and drive&nbsp;prioritised&nbsp;remediation plans.&nbsp;</p><br></li><li><p>Own digital architecture review and design assurance for strategic digital initiatives, major ecosystem changes and reusable platform capabilities.&nbsp;</p><br></li><li><p>Ensure solution designs address functional scope, non-functional requirements, dependencies, data flows, security, resilience, operational impacts and regulatory expectations.&nbsp;</p><br></li><li><p>Govern architecture exceptions, architecture decision records, design standards and alignment with enterprise architecture principles.&nbsp;</p><br></li><li><p>Embed secure-by-design and privacy-by-design principles across the Digital Ecosystem, including identity, access, data protection, API&nbsp;security&nbsp;and&nbsp;secrets&nbsp;management.&nbsp;</p><br></li><li><p>Partner with Information Security, Risk, Compliance, Infrastructure and Operations teams to ensure digital architecture meets control,&nbsp;resilience&nbsp;and regulatory requirements.&nbsp;</p><br></li><li><p>Ensure architecture decisions proactively mitigate operational, cyber, integration,&nbsp;performance&nbsp;and customer-impact risks.&nbsp;</p><br></li><li><p>Provide architecture direction for AI-enabled digital capabilities, conversational banking, customer engagement&nbsp;automation&nbsp;and intelligent service journeys.&nbsp;</p><br></li><li><p>Evaluate emerging technologies based on business value, architecture fit, ecosystem interoperability, security,&nbsp;supportability&nbsp;and total cost of ownership.&nbsp;</p><br></li><li><p>Ensure new digital capabilities are introduced through governed architecture patterns rather than isolated point solutions.&nbsp;</p><br></li><li>Act as the senior architecture advisor to Product Owners, Engineering Leads, Enterprise Architecture, Security, Infrastructure, Data,&nbsp;Operations&nbsp;and senior stakeholders.&nbsp;</li><li><p>Lead and mentor architects and senior technical contributors to improve architecture discipline, decision&nbsp;quality&nbsp;and design consistency.&nbsp;</p><br></li><li><p>Communicate architecture options, trade-offs, risks,&nbsp;dependencies&nbsp;and recommendations clearly to both technical and executive audiences.</p><br><p><strong>Specialist Skills / Technical Knowledge Required for this role:</strong><br>&nbsp;</p><br></li><li>Deep knowledge of digital banking ecosystem architecture, including mobile, web, APIs, microservices, integration, identity, data,&nbsp;AI&nbsp;and partner platforms.&nbsp;</li><li><p>Ability to define target-state architecture, transition architecture, reference architecture, ecosystem principles, architecture&nbsp;standards&nbsp;and reusable design patterns.&nbsp;</p><br></li><li><p>Strong understanding of API-first design, RESTful APIs, API gateways, service decomposition, domain boundaries, interface&nbsp;contracts&nbsp;and&nbsp;integration&nbsp;lifecycle management.&nbsp;</p><br></li><li><p>Experience with microservices, event-driven architecture, domain-driven design, container platforms, cloud-native&nbsp;patterns&nbsp;and platform modernization.&nbsp;</p><br></li><li><p>Strong understanding of non-functional requirements including scalability, availability, performance, resilience, observability, supportability,&nbsp;recoverability&nbsp;and operational readiness.&nbsp;</p><br></li><li><p>Knowledge of secure architecture practices including IAM/CIAM, API security, authentication,&nbsp;authorisation, encryption,&nbsp;secrets&nbsp;management, data&nbsp;protection&nbsp;and secure integration patterns.&nbsp;</p><br></li><li><p>Ability to assess third-party platforms, SDKs, fintech integrations and vendor solutions from architecture, security, interoperability,&nbsp;lifecycle&nbsp;and supportability perspectives.&nbsp;</p><br></li><li><p>Experience with architecture governance, architecture decision records, design review forums, exception management, technical debt&nbsp;governance&nbsp;and&nbsp;standards&nbsp;adoption.&nbsp;</p><br></li><li><p>Good understanding of modern software engineering practices, DevOps, CI/CD, automated testing, release governance, code&nbsp;quality&nbsp;and operational monitoring to guide architectural decisions.&nbsp;</p><br></li><li>Excellent written,&nbsp;verbal&nbsp;and executive communication skills, with the ability to simplify architecture trade-offs for senior stakeholders.&nbsp;</li></ul><br> </div>

Introduction <br><br>Join us at AIT, where we believe every day presents an opportunity to make a global impact!<br><br>We’re problem solvers, driven by our curiosity and creativity, in endless pursuit of solutions for our customers. Together, we champion the strength of our global teams. And, as trusted advisors, we go above and beyond, working together in a supportive and collaborative environment to ensure customer satisfaction. <br><br>Through the company's continued growth, we challenge ourselves to be better, continuously learning and growing in our dynamic environment. Helping others is at the core of our culture, join us in finding fulfillment by giving back to our local communities as the united team that is AIT.  Find out what our people deliver.® means when you come move the world with us!  Hear directly from our teammates at AIT Worldwide Logistics and make us the next stop on your career journey.<br><br>Overview<br><br>The HR & Administration Executive will be responsible for overseeing day-to-day office administration, facilities management, employee lifecycle support, immigration coordination, compliance activities, and general HR operations across the UAE. The role requires a highly organized and proactive professional who can effectively manage multiple priorities while ensuring compliance with UAE regulations and company policies.<br><br>Responsibilities<br><br> Human Resources Operations <br><br> Coordinate employee visa applications, renewals, cancellations, and related immigration processes through external PROs and government authorities. Ensure timely processing and renewal of residency permits, Emirates IDs, health insurance, and other statutory requirements. Monitor changes in UAE labor and immigration regulations and ensure ongoing compliance. Coordinate compliance requirements with JAFZA and Mainland authorities, including regulatory audits, permits, certifications, training requirements, and portal administration. Support and uphold company ethics, compliance standards, and governance requirements across all HR and administrative activities. Coordinate end-to-end onboarding and offboarding processes, ensuring a seamless employee experience. Maintain accurate employee records and update HR information systems, including SAP Success Factors. Support payroll administration by coordinating attendance records, leave management, employee benefits, and payroll-related documentation. Manage employee insurance enrollments, renewals, claims coordination, and associated documentation. Prepare employment-related letters, certificates, and HR documentation. Respond to routine employee HR queries and provide guidance in line with company policies and UAE labor laws. Support procurement activities through Local Purchase Order (LPO) creation and administration. Coordinate business card requests, employee documentation, and other HR administrative processes. <br><br> Office Administration & Facilities Management <br><br> Oversee daily office operations across both Mainland and Jebel Ali offices, ensuring a professional, efficient, and well-maintained work environment. Manage workspace planning, seating allocations, meeting room scheduling, office maintenance, and general office upkeep. Support regional leadership in identifying and evaluating new office facilities and expansion projects. Manage pantry operations, including inventory control, vendor coordination, and cost optimization initiatives. Source, evaluate, and manage vendor relationships for office supplies, cleaning services, pantry requirements, stationery, courier services, freight services, and other administrative needs. Negotiate admin vendor contracts to achieve optimal pricing, service quality, and cost efficiencies. Prepare and manage the UAE administrative budget, including office rent, utilities, facilities, travel, supplies, and employee events. Monitor expenses, review invoices, validate vendor bills, and ensure timely submission for approvals and payment processing. Identify opportunities for cost savings and implement efficient administrative processes. Assist employees with travel bookings, business trips, relocations, repatriation activities, and related expense management. Maintain and monitor office IT inventory while acting as the primary liaison with the Corporate & regional IT team for local technology support and coordination. <br><br>Qualifications<br><br> Bachelor's/Master’s degree in Human Resources, Business Administration, or a related discipline. 3-5 years of experience in HR and Administration within the UAE. Strong understanding of UAE labor law, immigration procedures, visa processes, and employment regulations. Experience working with JAFZA and Mainland business operations is highly preferred. Hands-on experience with HRIS platforms, preferably SAP Success Factors. Strong knowledge of Microsoft Office applications, particularly Excel, Word, and Power Point. Excellent organizational, communication, and stakeholder management skills. Ability to handle confidential information with professionalism and discretion. Fluent in English <br><br>About AIT Worldwide<br><br>AIT Worldwide Logistics is a global freight forwarder that helps its customers grow by expanding access to markets all over the world where they can sell and/or procure raw materials, components, and finished goods. For more than 40 years, the America’s-based supply chain solutions leader has relied on a consultative approach to build a global network and trusted partnerships in nearly every industry, including aerospace, automotive, consumer retail, food, government, healthcare, high-tech, industrial and life sciences. Backed by scalable, user-friendly technology, AIT’s flexible business model customizes door-to-door deliveries via sea, air, ground, and rail—on time and on budget. With expert teammates staffing more than 100 worldwide locations in Asia, Europe, India, and North America, AIT’s full-service options also include customs clearance, warehouse management and white glove services. Learn more about AIT Worldwide Logistics, our culture and core values in action here .<br><br>AIT Worldwide Logistics is an Equal Opportunity Employer – M/F/Veterans/Disabled. If you are unable to apply online due to a disability, contact Human Resources at 630-766-8300 ext 5218.<br><br>What AIT Can Offer You<br><br>In addition to base compensation, AIT offers a growing suite of competitive benefits to help our teammates realize their full financial, well-being, personal and professional potential.<br><br>AIT Worldwide Logistics Benefits Available Across All Global Markets<br><br> Vacation/holiday time Global employee support program Mindfulness tools Professional development Company events and gatherings Five paid volunteer hours through our AIT Cares program <br><br>Our competitive employee benefits packages may vary by region and country.

<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>