Automotive Engineer Jobs in UAE

Egis is an international player active in architecture, consulting, construction engineering and mobility services. We create and operate intelligent infrastructures and buildings that respond to the climate emergency and contribute to more balanced, sustainable and resilient territorial development. Operating in 100 countries, Egis puts the expertise of its 19,500 employees at the service of its clients and develops cutting-edge innovations accessible to all projects. Through its wide range of activities, Egis is a key player in the collective organisation of society and the living environment of citizens all over the world.<br><br>With 3,500 employees across 8 countries in the Middle East, Egis has delivered over 700 complex development projects, stimulating economic growth and enhancing quality of life. Ranked among the top ten firms in the Middle East by Engineering News Record (ENR), Egis is committed to sustainable development. The Group’s operations in the Middle East are built on strategic acquisitions and a deep understanding of local market conditions. Egis’ long history of providing comprehensive engineering, consulting, and project management services makes it a trusted partner for regional governments, investors, and developers.<br><br><br><br>Job Description<br><br>We are seeking a highly organized and efficient Document Controller to join our team in Dubai, United Arab Emirates. The successful candidate will be responsible for managing, controlling, and maintaining all project documentation and ensuring compliance with company standards and procedures.<br><br>Establish and maintain a comprehensive document control system for all project-related documents Receive, log, and distribute incoming and outgoing documents in a timely manner Ensure all documents are properly filed, stored, and easily retrievable Maintain and update document registers, databases, and archives Implement and monitor document control procedures and workflows Assist in the preparation and distribution of reports, presentations, and other project-related materials Collaborate with project teams to ensure proper document version control and revision management Conduct regular audits to ensure compliance with document control procedures Train and support team members on document control processes and systems Assist in the implementation and maintenance of electronic document management systems<br><br><br>Qualifications<br><br>Bachelor's Degree in Business Administration, Information Management, or related field10 years of experience in document control or similar role, preferably in construction, engineering, or related industries Proficiency in using EDMS system (Aconex) document management systems and Microsoft Office Suite (Word, Excel, Power Point) Strong knowledge of document control processes, best practices, and industry standards Excellent organizational and time management skills with a keen attention to detail Ability to work efficiently in a fast-paced environment and manage multiple priorities Strong communication and interpersonal skills Experience with database management and data entry Familiarity with filing and archiving systems Knowledge of relevant industry regulations and standards Ability to work independently and as part of a team Fluency in English; knowledge of Arabic is a plus

???? We're Hiring: Quantity Surveyor / Cost Estimator / Site Coordinator???? Location: United Arab Emirates (Remote)???? Employment Type: Part-Time???? Experience Level: Mid-Level to Senior???? Work Arrangement: Fully Remote About UsWe are a globally focused organization delivering innovative construction, engineering, and infrastructure solutions across international markets. Through cost-effective project management, technical excellence, and operational efficiency, we help clients successfully deliver projects while maintaining the highest standards of quality, value, and sustainability. As a remote-first organization, we leverage digital collaboration, data-driven decision-making, and continuous improvement to support high-performing project teams worldwide. The Role We are seeking an experienced Quantity Surveyor / Cost Estimator / Site Coordinator to oversee project cost management, quantity surveying, and site coordination activities. This part-time remote opportunity is ideal for a detail-oriented professional who combines strong commercial awareness with technical and project coordination expertise. While the role is primarily remote for estimating, reporting, and stakeholder collaboration, occasional site coordination or virtual project reviews may be required depending on project needs. Key Responsibilities Prepare cost estimates, quantity take-offs, and budget forecasts for construction and engineering projects. Monitor project costs, resource utilization, and financial performance to support cost-effective project delivery. Coordinate project activities with contractors, consultants, suppliers, and internal stakeholders. Review drawings, specifications, contracts, and project documentation to ensure accuracy and commercial compliance. Evaluate variations, quotations, and project costs while recommending value-driven solutions. Support procurement planning, contract administration, and project progress monitoring. Identify commercial and operational risks and recommend practical mitigation strategies. Prepare cost reports, project updates, and performance analyses for management. Provide leadership, guidance, and coordination while fostering collaboration across remote and cross-functional teams. Requirements Bachelor's degree or equivalent qualification in Quantity Surveying, Civil Engineering, Construction Management, or a related discipline is preferred. Minimum of 3+ years of professional experience in quantity surveying, cost estimation, project coordination, or a related field is preferred. Strong understanding of construction cost management, quantity surveying principles, and project coordination. Knowledge of budgeting, contract administration, procurement, and cost control practices. Familiarity with engineering drawings, technical documentation, project reporting, and commercial analysis. Proficiency in preparing estimates, cost reports, and project performance evaluations. Ability to manage multiple priorities and collaborate effectively in a fully remote and project-based environment. Strong communication, stakeholder management, analytical, organizational, and problem-solving skills. Demonstrated leadership, planning, and project management capabilities. What We Offer Flexible part-time working hours with a remote-first work arrangement and project-based coordination when required. Competitive compensation aligned with experience and responsibilities. Opportunities to contribute to international engineering, construction, and infrastructure projects. Professional development, leadership growth, and continuous learning opportunities. Exposure to innovative project management practices, commercial strategy initiatives, and cross-functional collaboration. A collaborative, inclusive, and forward-thinking culture that values technical excellence, innovation, teamwork, and sustainable project delivery.

???? We're Hiring: Quantity Surveyor / Cost Estimator / Site Coordinator???? Location: United Arab Emirates (Remote)???? Employment Type: Part-Time???? Experience Level: Mid-Level to Senior???? Work Arrangement: Fully Remote About UsWe are a globally focused organization delivering innovative construction, engineering, and infrastructure solutions across international markets. Through cost-effective project management, technical excellence, and operational efficiency, we help clients successfully deliver projects while maintaining the highest standards of quality, value, and sustainability. As a remote-first organization, we leverage digital collaboration, data-driven decision-making, and continuous improvement to support high-performing project teams worldwide. The Role We are seeking an experienced Quantity Surveyor / Cost Estimator / Site Coordinator to oversee project cost management, quantity surveying, and site coordination activities. This part-time remote opportunity is ideal for a detail-oriented professional who combines strong commercial awareness with technical and project coordination expertise. While the role is primarily remote for estimating, reporting, and stakeholder collaboration, occasional site coordination or virtual project reviews may be required depending on project needs. Key Responsibilities Prepare cost estimates, quantity take-offs, and budget forecasts for construction and engineering projects. Monitor project costs, resource utilization, and financial performance to support cost-effective project delivery. Coordinate project activities with contractors, consultants, suppliers, and internal stakeholders. Review drawings, specifications, contracts, and project documentation to ensure accuracy and commercial compliance. Evaluate variations, quotations, and project costs while recommending value-driven solutions. Support procurement planning, contract administration, and project progress monitoring. Identify commercial and operational risks and recommend practical mitigation strategies. Prepare cost reports, project updates, and performance analyses for management. Provide leadership, guidance, and coordination while fostering collaboration across remote and cross-functional teams. Requirements Bachelor's degree or equivalent qualification in Quantity Surveying, Civil Engineering, Construction Management, or a related discipline is preferred. Minimum of 3+ years of professional experience in quantity surveying, cost estimation, project coordination, or a related field is preferred. Strong understanding of construction cost management, quantity surveying principles, and project coordination. Knowledge of budgeting, contract administration, procurement, and cost control practices. Familiarity with engineering drawings, technical documentation, project reporting, and commercial analysis. Proficiency in preparing estimates, cost reports, and project performance evaluations. Ability to manage multiple priorities and collaborate effectively in a fully remote and project-based environment. Strong communication, stakeholder management, analytical, organizational, and problem-solving skills. Demonstrated leadership, planning, and project management capabilities. What We Offer Flexible part-time working hours with a remote-first work arrangement and project-based coordination when required. Competitive compensation aligned with experience and responsibilities. Opportunities to contribute to international engineering, construction, and infrastructure projects. Professional development, leadership growth, and continuous learning opportunities. Exposure to innovative project management practices, commercial strategy initiatives, and cross-functional collaboration. A collaborative, inclusive, and forward-thinking culture that values technical excellence, innovation, teamwork, and sustainable project delivery.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Meraki Group is looking for an experienced and driven Façade Project Manager to lead our façade projects from conception through completion.<br> This role is critical for ensuring that all projects are delivered on time, within scope, and within budget.<br> The Façade Project Manager will coordinate with various stakeholders, including clients, architects, and subcontractors, to deliver innovative and sustainable façade solutions that meet the highest quality standards.<br> Responsibilities Develop full-scale project plans and conduct project meetings to ensure they align with client objectives Oversee project schedules, budgets, and resource allocation to ensure timely and cost-effective project execution Lead the design development process in collaboration with architects and engineering teams to ensure design intent is maintained Manage relationships with key stakeholders, ensuring effective communication throughout the project lifecycle Monitor and report on project progress, identifying and addressing potential challenges proactively Ensure compliance with safety regulations, quality standards, and company policies on-site Conduct regular site visits to assess progress and provide direction to site teams, contractors, and suppliers Bachelor's degree in Civil Engineering, Construction Management, Architecture, or a related field Minimum of 10+ years of experience in project management with a focus on façade projects Proven track record of successfully managing large, complex façade projects from start to finish Strong knowledge of façade materials, design principles, and construction techniques Excellent project management skills, including proficiency in project management software Exceptional leadership, organizational, and communication skills Ability to navigate challenging project dynamics and deliver results under pressure</span> </div>

<p>· 3D Model execution with Autodesk Inventor software. · 2D detailing production from the Autodesk Inventor model. · Fabrication and erection drawings with items tags, BOMs, and shipping lists. ·4 to 5 years of experience in 3D modelling of mechanical component such as furnace, ducting and steel elements, pressure parts components (ASME I and VIII).</p><p>· BE or ME in Structural Engineering, Mechanical Engineering, Aeronautical Engineering or equivalent. · Skill in use of Autodesk Inventor software. · Skill in using Autodesk Inventor iLogic rules (developed by other) for standard items /standard templates customization. · Ability to interpret and comply with Client specification, Company standards. · Software: Autodesk Inventor, AutoCAD, Microsoft Office. · Language: fluent English level required.</p>

<ul><li>Conduct in-depth product demonstrations tailored to client needs, showcasing technical features and benefits to drive interest.</li><li>Collaborate with the sales team to identify customer requirements and tailor solutions that meet their business objectives.</li><li>Prepare and deliver compelling technical presentations that articulate complex concepts in a clear, engaging manner.</li><li>Provide expert advice on product applications, ensuring customers understand how to maximize the value from their investment.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's degree in Engineering, Electrical, or a related technical field is essential.</p></li><li><p>A minimum of 3-5 years of experience in a technical sales or engineering role, preferably in the technology sector.</p></li><li><p>Professional certifications related to sales engineering or specific technologies.</p></li></ul>

Role Description This part-time remote Production Manager role supports the planning, coordination, and delivery of educational and research-related outputs for the department. The Production Manager will oversee production schedules for course materials, digital content, and laboratory resources, ensuring timely, high-quality delivery aligned with academic and research timelines. Responsibilities include coordinating with faculty, teaching assistants, and technical staff; managing workflows for multimedia and written materials; and ensuring compliance with institutional standards and quality guidelines. The role involves tracking progress against milestones, resolving bottlenecks, optimizing processes, and documenting best practices for repeatable production cycles. The Production Manager will also contribute to continuous improvement of production tools and methods to support scalable, efficient operations in a remote-first environment. Qualifications Experience in production or project management, including planning, scheduling, and resource coordination for educational, technical, or media outputs. Skills in workflow design and process optimization, with the ability to identify risks, manage dependencies, and maintain quality under tight timelines. Strong organizational and communication abilities, including clear written documentation, stakeholder coordination, and remote collaboration. Comfort with digital tools and platforms used for content management, version control, and virtual teamwork (e.g., project management software, shared drives, collaboration suites). Background or familiarity with engineering, healthcare, or academic environments is beneficial, particularly in systems, biomedical, or technical education settings. Demonstrated ability to work independently in a remote setting, prioritize tasks effectively, and adapt to evolving requirements and multiple concurrent projects. Bachelor’s degree in engineering, management, communications, or a related field, or equivalent practical experience in production or operations roles. Commitment to inclusive, non-discriminatory practices and supportive collaboration with diverse faculty, staff, and students.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Job Description:</strong></p><br><p>The Department of Mechanical and Aerospace Engineering at the United Arab Emirates University invites applications for a full-time Research Assistant under the 24-month A-TRIP project "Smart Aqua-PV: A Solar-Powered Digital Twin and AI-Driven Smart Aquaculture Pilot for Sustainable Protein Production in Arid Environments," conducted in collaboration with the Massachusetts Institute of Technology (MIT). The Research Assistant will support the installation, operation, and experimental validation of a solar-powered recirculating aquaculture system; deployment, calibration, and maintenance of water-quality, environmental, IoT, and piezo-acoustic sensors; continuous data logging and quality control; monitoring of fish health, feeding, RAS performance, PV generation, battery status, and system uptime; controlled stress tests; preliminary Python/MATLAB analysis and dashboard/digital-twin support; and preparation of technical reports, publications, manuals, and stakeholder workshops. Regular on-site work at UAEU research facilities is required. </p><br><p><strong>Minimum Qualifications:</strong></p><br><p>• Master's degree in Mechanical, Electrical, Computer, Environmental, Agricultural/Aquaculture Engineering, or a closely related field. • Hands-on experience with experimental systems, sensors, instrumentation, data acquisition, IoT, or control. • Working knowledge of Python, MATLAB, or comparable data-analysis tools. • Strong data-management, technical writing, and communication skills. • Ability to work independently, safely, and collaboratively in laboratory and field settings. </p><br><p><strong>Preferred Qualifications:</strong></p><br><p>• Experience with recirculating aquaculture systems, aquaponics, water-quality monitoring, or fish-production systems. • Experience with solar PV, batteries, pumps, aeration, renewable-energy systems, or energy management. • Familiarity with Arduino, ESP32, Raspberry Pi, cloud dashboards, databases, or wireless sensor networks. • Exposure to machine learning, time-series prediction, anomaly detection, or digital-twin modeling. • Peer-reviewed publications or experience supporting multidisciplinary research projects. </p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Overview</b><br><p>Microsoft Cloud Operations + Innovation (CO+I) is the team that plans, builds and operates the datacenter infrastructure that powers Microsoft’s global cloud services. CO+I delivers the secure, resilient and scalable infrastructure that enables customers, partners and businesses around the world to rely on Microsoft’s cloud platforms every day.</p><br><p>Within CO+I, Integrated Lease Delivery (ILD) leads the delivery of leased datacenter capacity. ILD brings together programme management, engineering, construction management, commissioning, safety, commercial governance, project controls and operational readiness to deliver capacity safely, predictably and at scale.</p><br><p>The Lease Delivery Program Manager (LDPM) is Microsoft’s accountable programme leader for leased datacenter delivery. This role leads complex, multi-disciplinary data centre construction and fit out programmes from lease execution through Ready for Service, Ready for Network Install, fit-out completion and turnover to Operations.</p><br><p>The LDPM creates one integrated delivery view across lease providers, Microsoft stakeholders and delivery partners, ensuring clear priorities, disciplined governance, proactive risk management and aligned decision-making.</p><br><br><br><b>Responsibilities</b><br><p><strong>Key Responsibilities</strong></p><br><ul><li>Lead leased datacenter delivery programmes across multiple projects, tranches or sites.</li><li>Integrate construction, engineering, technical infrastructure, commissioning, safety, commercial, project controls and operational readiness workstreams into one coordinated programme plan.</li><li>Own programme-level governance, reporting, escalation, risk and dependency management.</li><li>Act as Microsoft’s senior delivery interface with lease providers, contractors, consultants and internal stakeholders, including Engineering, End to End, Commissioning, Safety, Operations, Commercial, Legal, Procurement, Security and Network teams.</li><li>Responsibility for the on time deliver of Microsoft milestones including: Ready for Service, Ready for Network Install, commissioning, fit-out completion and turnover milestones.</li><li>Support commercial and contractual governance, including change control, delivery decisions and issue resolution.</li><li>Promote a strong safety culture and ensure safe delivery remains central to programme decision-making.</li><li>Manage a team of eternal owner representatives.</li><li>Responsible for ensuring regional goals of delivering capacity are aligned to business OKRs.</li><li>Identify and track metrics to help with improvement in delivery of milestones, Cost and other OKRs.</li><li>Act as Construction and Fitout SMEs during lease site selection.</li></ul><br><b>Qualifications</b><br><ul><li><p>Required Qualifications</p><br><ul><li><p>Bachelor’s degree in civil engineering, Mechanical Engineering, Electrical Engineering, Construction Management or an equivalent engineering science OR 7+ years of related construction management experience in lieu of a degree.&nbsp;</p><br></li></ul><br><ul><li><p>5+ years of recent experience in construction management of large, complex projects involving large-scale mechanical, electrical OR plumbing (MEP) plants.&nbsp;</p><br></li></ul><br><ul><li><p>Self-starter with&nbsp;demonstrated&nbsp;ability to manage multiple priorities, projects, and deadlines simultaneously&nbsp;</p><br></li></ul><br><ul><li><p>Ability to independently manage deadlines and support staff&nbsp;</p><br></li></ul><br><br><ul><li><p>Ability to influence cross-discipline teams&nbsp;</p><br></li></ul><br><ul><li><p>Construction Health &amp; Safety Knowledge.&nbsp;</p><br></li></ul><p>Preferred Qualifications:&nbsp;</p><br><br><ul><li><p>Experience in datacenter, cloud infrastructure, telecoms, energy,&nbsp;construction&nbsp;or mission-critical environments.&nbsp;</p><br></li></ul><br><ul><li><p>Experience with lease providers, developers, landlords, consultants,&nbsp;contractors&nbsp;or outsourced delivery models.&nbsp;</p><br></li></ul><br><ul><li><p>Understanding of&nbsp;commissioning, operational readiness, handover, project controls, change control and commercial governance.&nbsp;</p><br></li></ul><br><ul><li><p>Ability to&nbsp;operate&nbsp;with ambiguity, create structure, build&nbsp;trust&nbsp;and&nbsp;maintain&nbsp;delivery momentum across complex stakeholder environments.&nbsp;</p><br></li></ul><br><br><br></li></ul><br><br><p><strong>Background Check Requirements:&nbsp;</strong></p><br><p>Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:&nbsp;</p><br><ul><li>Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><p>#COICareers | #EPCCareers | #DCDCareers</p><br> <br><p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><br><br><br><p>Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about <b><u>requesting accommodations.</u></b></p><br> </div>

<p>Estimator – Civil & Infrastructure Location: Dubai, UAE (Candidates based in Dubai or Abu Dhabi considered) Company: Leading UAE Civil & Infrastructure Contractor Job Type: Full-Time, Permanent Salary: AED 15,000 – 25,000 monthly package (dependent on experience) Availability: Short Notice Preferred / All Notice Periods Considered About the Company: Our client is a leading UAE Civil & Infrastructure Contractor with an established track record of delivering major engineering and infrastructure projects across the region. They are looking to appoint an experienced Estimator to join their pre-contracts team in Dubai, supporting the tendering and pricing of major civil and infrastructure projects. Position Overview: This position involves preparing accurate and competitive cost estimates for civil and infrastructure projects, including roads, highways, bridges, utilities, drainage, earthworks and associated civil works. Working closely with the engineering, procurement and commercial teams, the Estimator will support the tendering process from initial enquiry through to submission, taking responsibility for quantity take-offs, cost build-ups, subcontractor pricing and the preparation of detailed tender estimates. Key Responsibilities: • Estimating & Tendering: Review tender documents, drawings, specifications and Bills of Quantities (BOQ), preparing detailed cost estimates and competitive tender submissions. • Quantity Take-Offs & Pricing: Undertake detailed measurements and prepare cost build-ups covering labour, materials, plant, equipment and subcontractor works. • Supplier & Subcontractor Evaluation: Obtain and evaluate quotations from suppliers and subcontractors, ensuring pricing is accurate and commercially competitive. • Cost Analysis & Risk: Identify tender risks, exclusions, assumptions and potential cost implications, supporting value engineering and alternative construction methodologies. • Tender Coordination: Work closely with engineering, procurement and commercial teams to finalise tender submissions, respond to clarifications and maintain accurate estimating records.</p><p>Requirements & Qualifications: • Degree or diploma in Quantity Surveying, Civil Engineering, Construction Management or a related construction discipline. • 3–7 years' experience in estimating within the civil infrastructure or construction industry. • Proven experience estimating roads, highways, bridges, utilities, drainage, earthworks and associated civil infrastructure projects. • Practical experience in quantity take-offs, Bills of Quantities (BOQ), cost build-ups and tender preparation. • Good understanding of construction methods, materials, labour and plant requirements. • Ability to interpret construction drawings, specifications and tender documentation. • Strong Excel skills and experience using estimating software; CCS experience is a strong advantage. • Good commercial awareness, attention to detail and ability to work to tender deadlines.</p>

<p><strong>Recruitment Specialist</strong></p><p><strong>Industry:</strong> Construction | Engineering Consultancy | Contracting</p><p><strong>Location:</strong> Dubai, UAE</p><p><strong>Employment Type:</strong> Full-Time</p><p><br></p><p>Role Overview</p><p>We are looking for a proactive and results-driven <strong>Recruitment Specialist</strong> to manage end-to-end recruitment across our construction, engineering consultancy, and contracting businesses. The role will focus on sourcing and attracting qualified technical, engineering, construction, commercial, and corporate talent while ensuring a strong candidate experience and timely hiring.</p><p><br></p><p>Key Responsibilities</p><ul><li>Manage the <strong>end-to-end recruitment cycle</strong>, from manpower requirements and sourcing through screening, interviews, selection, offer, and onboarding.</li><li>Source candidates through <strong>LinkedIn, Indeed, recruitment platforms, databases, agencies, referrals, and direct sourcing</strong>.</li><li>Recruit for construction and engineering positions including <strong>Project Managers, Civil/Mechanical/Electrical Engineers, QS, Estimators, Planning Engineers, Site Engineers, Procurement, Contracts, HSE, Draftsmen, Document Controllers, and skilled/site-based roles</strong>.</li><li>Partner with hiring managers to understand job requirements, technical competencies, and manpower priorities.</li><li>Conduct candidate screening, preliminary interviews, salary discussions, reference checks, and coordinate technical/interview assessments.</li><li>Build and maintain a strong <strong>talent pipeline</strong> for current and future project requirements.</li><li>Manage recruitment trackers, candidate databases, interview schedules, offers, and joining status.</li><li>Coordinate with HR and PRO teams for <strong>visa, documentation, and onboarding requirements</strong> for selected candidates.</li><li>Support workforce planning and recruitment for new projects, mobilization, and business expansion.</li><li>Work with recruitment agencies when required and monitor agency performance and recruitment costs.</li><li>Ensure recruitment activities comply with <strong>UAE labour regulations and company policies</strong>.</li><li>Maintain a professional candidate experience and strengthen the company's <strong>employer brand and talent market presence</strong>.</li></ul><p><br></p><p>Requirements:</p><ul><li>Bachelor's degree in <strong>HR, Business Administration, or a related field</strong>.</li><li><strong>3–6 years of recruitment experience</strong>, preferably within construction, engineering consultancy, contracting, real estate, or a related industry.</li><li>Strong experience in <strong>technical and construction recruitment</strong>.</li><li>Good knowledge of the <strong>UAE recruitment market</strong> and sourcing practices.</li><li>Hands-on experience with <strong>LinkedIn Recruiter, Indeed, job portals, ATS/HR systems, and recruitment databases</strong>.</li><li>Strong interviewing, candidate assessment, negotiation, and stakeholder-management skills.</li><li>Ability to manage multiple vacancies and meet recruitment deadlines in a fast-paced project environment.</li><li>Strong communication skills with the ability to interact confidently with candidates, hiring managers, and external recruitment partners.</li></ul>

<p>Principal Data Scientist – Generative AI &amp; Agentic Systems</p><p><br></p><p>Location: Dubai, UAE</p><p><br></p><p>We are looking for an exceptional Principal Data Scientist to lead the design and delivery of advanced AI solutions, with a particular focus on Generative AI, agentic systems and production-grade RAG architectures.</p><p><br></p><p>This is a highly hands-on technical role. The successful candidate will remain close to the code while providing technical leadership, owning complex solution domains and translating real business problems into scalable AI products.</p><p><br></p><p>What you'll be doing</p><p><br></p><p>- Design and build complex agentic RAG systems, multi-step AI workflows and LLM-powered applications.</p><p>- Lead AI solutions end-to-end, from experimentation and architecture through production deployment, monitoring and continuous improvement.</p><p>- Write and review production-quality Python and modern AI/ML code.</p><p>- Own solution architecture, technical standards and engineering best practices across AI initiatives.</p><p>- Provide technical leadership and mentorship while remaining an active hands-on contributor.</p><p>- Evaluate and apply emerging models, frameworks, vector databases, orchestration tools and AI engineering approaches.</p><p>- Work closely with business stakeholders to ensure AI initiatives deliver measurable commercial and operational value.</p><p>- Build robust data and model pipelines, testing, evaluation, observability and MLOps practices.</p><p><br></p><p>What we're looking for</p><p><br></p><p>- 8+ years of relevant experience across Data Science, Machine Learning, AI Engineering or closely related areas.</p><p>- Strong recent experience building complex agentic RAG systems, beyond standard question-answering chatbots.</p><p>- Deep practical knowledge of LLMs, retrieval, embeddings, vector databases, agent orchestration and production AI architectures.</p><p>- Strong hands-on Python skills and current software engineering practices, including APIs, testing, version control, CI/CD and maintainable production code.</p><p>- Demonstrated technical leadership, team leadership or ownership of a significant technical domain.</p><p>- A track record of translating AI capabilities into measurable business outcomes.</p><p>- Experience operating in demanding, technically sophisticated environments.</p><p>- Broader experience across different organisations, products or business domains is highly valued.</p><p><br></p><p>Nice to have</p><p><br></p><p>- Experience productising AI and ML solutions within the Microsoft Azure ecosystem.</p><p>- Cloud-native architecture and deployment experience.</p><p>- Strong MLOps and data engineering exposure.</p><p>- Experience taking Generative AI products from prototype through to reliable production use.</p><p><br></p><p>This opportunity is particularly suited to a senior technical leader who still enjoys building, coding and solving difficult AI problems directly rather than operating primarily as a people or vendor manager.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><span><span><span>The purpose of this position is to undertake a defined training programme, to acquire the relevant skills and competence to secure a position as a Technician in one of the Engineering Production Departments.</span></span></span></p><br> <p><span><span><b>MAIN RESPONSIBILITIES</b></span></span></p><br> <ul> <li><span><span>During Training – undertake all required technical and soft skills training courses and obtain a passing mark in each module. This includes but is not limited to: Induction, O&amp;M Induction, Safety Critical Communications, Internal Customer Service, Lineside Worker/Non-Lineside Worker.</span></span></li> <li><span><span>Gain a thorough understanding of the technical aspect of each Technician role by spending time on the job shadowing and training within Engineering Production Departments.</span></span></li> <li><span><span>Attend and pass all modules of technical training within the chosen discipline (matched to skills and educational experience).</span></span></li> <li><span><span>Once competent as a Technician – undertake an initial training period within the chosen discipline (Rolling Stock, Mechanical, Electrical and Plumbing Services, Civil &amp; Track, and Automatic Train Control &amp; Systems).</span></span></li> <li><span><span>Assist the Engineers and Team Leaders in carrying out all levels of preventive and corrective maintenance activities.</span></span></li> <li><span><span>Follow the appropriate maintenance procedures and work instructions to ensure compliance with the requirements.</span></span></li> <li><span><span>Perform roles necessary for managing the safe system of work, including meeting tight maintenance schedules.</span></span></li> <li>Produce and maintain accurate maintenance records of equipment performance, work accomplished and other information using the maintenance management system.</li> <li>Perform shift and emergency duties.</li> <li>Perform and carry out duties as instructed/ directed by the line manager and/or other member of the senior management team of Engineering &amp; Maintenance department.</li> </ul> <p><span><span><b>KEY SKILLS</b></span></span></p><br> <ul> <li><span><span>Must have good eyesight and normal color vision.</span></span></li> <li><span><span>Holds a valid driving license with good driving skills and experience.</span></span></li> <li><span><span>Strong English language skills (written and spoken).</span></span></li> <li><span><span>Possess good communication skills and the ability to manage multiple tasks efficiently and work productively in a fast-paced, team-oriented environment.</span></span></li> <li><span><span>Ability to write simple technical reports, and routine business correspondence, and prepare method statements and drawings as required.</span></span></li> <li><span><span>Good organizational skills, detail-oriented, and the ability to handle multiple priorities.</span></span></li> </ul> <p><span><span><b>EXPERIENCES</b></span></span></p><br> <ul> <li> <p><span><span>Previous work experience in Engineering and Maintenance is desirable but not essential.</span></span></p><br> </li> </ul> <p><span><span><b>EDUCATIONNAL QUALIFCATIONS</b></span></span></p><br> <ul> <li> <p><span><span>Must have a minimum bachelor's degree in Electrical, </span><span>Electronic, Communication,&nbsp;</span><span>Mechanical and/or Civil Engineering discipline.</span></span></p><br> </li> </ul> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Nationality"> <b>Nationality</b> </div> <div class="col is-9 p5" data-automation-id="data_Nationality"> United Arab Emirates </div> </div>

<ul><li><p>Perform any other responsibilities related to the nature of the department's work or as assigned by the Director of the Labor Market Information Department.</p></li><li><p>Manage partnerships with AI technology providers and research institutions.</p></li><li><p>Prepare and contribute to the development of the department's strategic plan proposal, as well as prepare and monitor operational plans to ensure alignment with departmental objectives.</p></li><li><p>Stay informed about emerging AI technologies and trends and assess their potential impact on the ministry.</p></li><li><p>Collaborate with data engineering teams to ensure the availability, integrity, and quality of data required for AI models.</p></li><li><p>Monitor performance indicators periodically, prepare departmental progress reports, and submit them to the department director.</p></li><li><p>Participate in the preparation of the department's budget in coordination with relevant units within the organization.</p></li><li><p>Develop and maintain a portfolio of AI use cases, solutions, and data analytics tools.</p></li><li><p>Develop and implement strategies to expand AI and analytics capabilities across the ministry.</p></li><li><p>Strengthen relationships with internal and external partners to ensure the delivery of services according to the highest standards.</p></li><li><p>Provide necessary support to the department director and perform other assigned tasks.</p></li><li><p>Provide technical expertise and support for AI and analytics initiatives.</p></li><li><p>Support the ministry's digital business development sector through continuous data reviews and recommendations that contribute to the sustainability, accuracy, and reliability of data, including proactive monitoring and in-depth analysis of anticipated risks from stakeholders.</p></li><li><p>Feed digital systems with relevant data and utilize data effectively across related services.</p></li><li><p>Ensure the ethical use of artificial intelligence technologies in accordance with applicable regulatory policies, standards, and guidelines.</p></li><li><p>Lead the development and implementation of AI, machine learning, and predictive modeling solutions to support decision-making and process automation.</p></li><li><p>Monitor and evaluate the performance of AI models and analytics tools.</p></li><li><p>Establish programs that promote continuous learning, professional development, training, and motivation of work teams to ensure the delivery of high-quality services.</p></li><li><p>Establish principles and controls for managing and directing operations while continuously improving productivity.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>PhD in Computer Engineering - 0</p><p>PhD in Information Technology - 0</p><p>MSc in Computer Engineering - 3</p><p>MSc in Information Technology - 3</p><p>BSc in Information Technology - 6</p><p>BSc in Computer Engineering - 6</p></li></ul><br><p>Skills AI Strategy Data Engineering Project Management</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<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><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><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>Job Description<br><p><strong>About the Applied AI Tribe</strong></p><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><p><strong>We have shipped 40+ AI products across four strategic streams:</strong></p><br><p>&nbsp;&nbsp;&nbsp;- Product &amp; Tech Platform - AI capabilities embedded into talabat's core product and engineering platform.</p><br><p>&nbsp;&nbsp;&nbsp;- Business Automations - streamlined workflows that save real time and money across operations.</p><br><p>&nbsp;&nbsp;&nbsp;- Self-Serve AI Tools - empowering talabatis to build and use AI without needing to raise a ticket.</p><br><p>&nbsp;&nbsp;&nbsp;- Training &amp; Onboarding - upskilling the tribe so every team can participate in the AI era.</p><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><p><strong>The Role</strong></p><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><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> &nbsp;</p><br><p><strong>What's On Your Plate?</strong></p><br><p>People Leadership:</p><br><p>&nbsp;&nbsp;&nbsp;- 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><p>&nbsp;&nbsp;&nbsp;- Partner with recruiting to attract top data science and ML talent as the tribe scales.</p><br><p>&nbsp;&nbsp;&nbsp;- Mentor team members in ML best practices, agentic system design, production engineering, and stakeholder communication.</p><br><p>&nbsp;&nbsp;&nbsp;- Run effective team rituals, planning, design reviews, retrospectives, that keep the team aligned and moving with pace.</p><br><p>Technical Strategy &amp; Delivery:</p><br><p>&nbsp;&nbsp;&nbsp;- 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><p>&nbsp;&nbsp;&nbsp;- Own the team's technical roadmap: prioritise high-impact work across data enrichment, business automation, self-serve tooling, and agentic product features.</p><br><p>&nbsp;&nbsp;&nbsp;- Champion harness-first thinking, ensure evaluation pipelines, LLM observability, tooling, and infrastructure are in place before agent logic is built on top.</p><br><p>&nbsp;&nbsp;&nbsp;- 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><p>&nbsp;&nbsp;&nbsp;- Oversee the full ML lifecycle: data pipelines, feature engineering, model training, production deployment, serving, and monitoring.</p><br><p>&nbsp;&nbsp;&nbsp;- Drive adoption of LLMs and generative AI for data enrichment, smart content understanding, and automated decision-making at scale.</p><br><p>&nbsp;&nbsp;&nbsp;- Design and analyse experiments (A/B and multivariate) to rigorously measure model and product impact.</p><br><p>&nbsp;&nbsp;&nbsp;- Elevate ML and engineering standards across the team, improving MLOps, code quality, tooling, and internal learning programmes.<br> <br> Cross-functional Partnership:</p><br><p>&nbsp;&nbsp;&nbsp;- Partner with product managers and business teams to identify high-value AI opportunities and shape them into the team's roadmap.</p><br><p>&nbsp;&nbsp;&nbsp;- Communicate clearly with senior stakeholders, from problem framing through to results and recommendations.</p><br><p>&nbsp;&nbsp;&nbsp;- Collaborate with engineering teams to understand data systems, build reliable data models, and ensure smooth production integration.</p><br><br>Qualifications<br><p><strong>What Did We Order?</strong></p><br><p><strong>Technical Experience</strong></p><br><p>&nbsp;&nbsp;&nbsp;- Deep expertise in machine learning, generative AI, deep learning, NLP, recommendation systems, and data mining.</p><br><p>&nbsp;&nbsp;&nbsp;- Hands-on knowledge of ML and GenAI frameworks: Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, Transformers, and LLM fine-tuning.</p><br><p>&nbsp;&nbsp;&nbsp;- Proficiency with the OpenAI SDK and familiarity with major LLM provider APIs for building and orchestrating production AI systems.</p><br><p>&nbsp;&nbsp;&nbsp;- Hands-on experience with LangGraph for building stateful, multi-step agentic workflows and complex agent orchestration patterns.</p><br><p>&nbsp;&nbsp;&nbsp;- Experience with Hugging Face (Transformers, Hub, Inference API) for model sourcing, fine-tuning, and deployment.</p><br><p>&nbsp;&nbsp;&nbsp;- Solid understanding of embeddings, dense and sparse retrieval, vector databases, and semantic search, for building RAG pipelines and similarity-based applications.</p><br><p>&nbsp;&nbsp;&nbsp;- Strong software engineering fundamentals: clean production code, data structures and algorithms, ML system design.</p><br><p>&nbsp;&nbsp;&nbsp;- Proven experience shipping and monitoring ML models in production, with a solid grasp of MLOps practices.</p><br><p>&nbsp;&nbsp;&nbsp;- Strong data and ML engineering skills: building and orchestrating data pipelines (e.g., Airflow) and robust feature engineering.</p><br><p>&nbsp;&nbsp;&nbsp;- Excellent SQL and Python; solid statistical foundations including experiment design, causal inference, and predictive methods.</p><br><p>&nbsp;&nbsp;&nbsp;- Familiarity with agentic system design (harness-first thinking, LLM observability, evaluation pipelines, and production feedback loops) is a strong plus.</p><br><p>&nbsp;&nbsp;&nbsp;- Experience with BigQuery and Google Cloud Platform is a plus.<br> &nbsp;</p><br><p><strong>Qualifications&nbsp;</strong></p><br><p>&nbsp;&nbsp;&nbsp;- Bachelor's degree in Engineering, Computer Science, or a related field. A postgraduate degree is a plus.</p><br><p>&nbsp;&nbsp;&nbsp;- 6+ years of experience in data science, ML engineering, and/or generative AI, including shipping models to production.</p><br><p>&nbsp;&nbsp;&nbsp;- 2+ years managing or leading a data science or ML team, with a track record of developing talent and delivering through others.</p><br><p>&nbsp;&nbsp;&nbsp;- Experience building ML systems in an online consumer product environment is a strong plus.</p><br><br>Additional Information<br><p>Mindset &amp; Ways of Working</p><br><p>&nbsp;&nbsp;&nbsp;- Curiosity over certainty: you're excited to try the new model or framework this week.</p><br><p>&nbsp;&nbsp;&nbsp;- Ownership: you treat cost, latency, and business impact as your problem, and your team's.</p><br><p>&nbsp;&nbsp;&nbsp;- Bias to build: a prototype in a real workflow beats a perfect design doc every time.</p><br><p>&nbsp;&nbsp;&nbsp;- Comfortable with ambiguity: most of what we build has no playbook yet, and you help write it.</p><br><p>&nbsp;&nbsp;&nbsp;- Keep it simple: pick the approach that delivers the most value with the least complexity, and #makeithappen.<br> &nbsp;</p><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> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<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><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><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>Job Description<br><p><strong>About the Applied AI Tribe</strong></p><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><p><strong>We have shipped 40+ AI products across four strategic streams:</strong></p><br><p>&nbsp;&nbsp;&nbsp;- Product &amp; Tech Platform - AI capabilities embedded into talabat's core product and engineering platform.</p><br><p>&nbsp;&nbsp;&nbsp;- Business Automations - streamlined workflows that save real time and money across operations.</p><br><p>&nbsp;&nbsp;&nbsp;- Self-Serve AI Tools - empowering talabatis to build and use AI without needing to raise a ticket.</p><br><p>&nbsp;&nbsp;&nbsp;- Training &amp; Onboarding - upskilling the tribe so every team can participate in the AI era.</p><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><p><strong>The Role</strong></p><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><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> &nbsp;</p><br><p><strong>What's On Your Plate?</strong></p><br><p>People Leadership:</p><br><p>&nbsp;&nbsp;&nbsp;- 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><p>&nbsp;&nbsp;&nbsp;- Partner with recruiting to attract top data science and ML talent as the tribe scales.</p><br><p>&nbsp;&nbsp;&nbsp;- Mentor team members in ML best practices, agentic system design, production engineering, and stakeholder communication.</p><br><p>&nbsp;&nbsp;&nbsp;- Run effective team rituals, planning, design reviews, retrospectives, that keep the team aligned and moving with pace.</p><br><p>Technical Strategy &amp; Delivery:</p><br><p>&nbsp;&nbsp;&nbsp;- 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><p>&nbsp;&nbsp;&nbsp;- Own the team's technical roadmap: prioritise high-impact work across data enrichment, business automation, self-serve tooling, and agentic product features.</p><br><p>&nbsp;&nbsp;&nbsp;- Champion harness-first thinking, ensure evaluation pipelines, LLM observability, tooling, and infrastructure are in place before agent logic is built on top.</p><br><p>&nbsp;&nbsp;&nbsp;- 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><p>&nbsp;&nbsp;&nbsp;- Oversee the full ML lifecycle: data pipelines, feature engineering, model training, production deployment, serving, and monitoring.</p><br><p>&nbsp;&nbsp;&nbsp;- Drive adoption of LLMs and generative AI for data enrichment, smart content understanding, and automated decision-making at scale.</p><br><p>&nbsp;&nbsp;&nbsp;- Design and analyse experiments (A/B and multivariate) to rigorously measure model and product impact.</p><br><p>&nbsp;&nbsp;&nbsp;- Elevate ML and engineering standards across the team, improving MLOps, code quality, tooling, and internal learning programmes.<br> <br> Cross-functional Partnership:</p><br><p>&nbsp;&nbsp;&nbsp;- Partner with product managers and business teams to identify high-value AI opportunities and shape them into the team's roadmap.</p><br><p>&nbsp;&nbsp;&nbsp;- Communicate clearly with senior stakeholders, from problem framing through to results and recommendations.</p><br><p>&nbsp;&nbsp;&nbsp;- Collaborate with engineering teams to understand data systems, build reliable data models, and ensure smooth production integration.</p><br><br>Qualifications<br><p><strong>What Did We Order?</strong></p><br><p><strong>Technical Experience</strong></p><br><p>&nbsp;&nbsp;&nbsp;- Deep expertise in machine learning, generative AI, deep learning, NLP, recommendation systems, and data mining.</p><br><p>&nbsp;&nbsp;&nbsp;- Hands-on knowledge of ML and GenAI frameworks: Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, Transformers, and LLM fine-tuning.</p><br><p>&nbsp;&nbsp;&nbsp;- Proficiency with the OpenAI SDK and familiarity with major LLM provider APIs for building and orchestrating production AI systems.</p><br><p>&nbsp;&nbsp;&nbsp;- Hands-on experience with LangGraph for building stateful, multi-step agentic workflows and complex agent orchestration patterns.</p><br><p>&nbsp;&nbsp;&nbsp;- Experience with Hugging Face (Transformers, Hub, Inference API) for model sourcing, fine-tuning, and deployment.</p><br><p>&nbsp;&nbsp;&nbsp;- Solid understanding of embeddings, dense and sparse retrieval, vector databases, and semantic search, for building RAG pipelines and similarity-based applications.</p><br><p>&nbsp;&nbsp;&nbsp;- Strong software engineering fundamentals: clean production code, data structures and algorithms, ML system design.</p><br><p>&nbsp;&nbsp;&nbsp;- Proven experience shipping and monitoring ML models in production, with a solid grasp of MLOps practices.</p><br><p>&nbsp;&nbsp;&nbsp;- Strong data and ML engineering skills: building and orchestrating data pipelines (e.g., Airflow) and robust feature engineering.</p><br><p>&nbsp;&nbsp;&nbsp;- Excellent SQL and Python; solid statistical foundations including experiment design, causal inference, and predictive methods.</p><br><p>&nbsp;&nbsp;&nbsp;- Familiarity with agentic system design (harness-first thinking, LLM observability, evaluation pipelines, and production feedback loops) is a strong plus.</p><br><p>&nbsp;&nbsp;&nbsp;- Experience with BigQuery and Google Cloud Platform is a plus.<br> &nbsp;</p><br><p><strong>Qualifications&nbsp;</strong></p><br><p>&nbsp;&nbsp;&nbsp;- Bachelor's degree in Engineering, Computer Science, or a related field. A postgraduate degree is a plus.</p><br><p>&nbsp;&nbsp;&nbsp;- 6+ years of experience in data science, ML engineering, and/or generative AI, including shipping models to production.</p><br><p>&nbsp;&nbsp;&nbsp;- 2+ years managing or leading a data science or ML team, with a track record of developing talent and delivering through others.</p><br><p>&nbsp;&nbsp;&nbsp;- Experience building ML systems in an online consumer product environment is a strong plus.</p><br><br>Additional Information<br><p>Mindset &amp; Ways of Working</p><br><p>&nbsp;&nbsp;&nbsp;- Curiosity over certainty: you're excited to try the new model or framework this week.</p><br><p>&nbsp;&nbsp;&nbsp;- Ownership: you treat cost, latency, and business impact as your problem, and your team's.</p><br><p>&nbsp;&nbsp;&nbsp;- Bias to build: a prototype in a real workflow beats a perfect design doc every time.</p><br><p>&nbsp;&nbsp;&nbsp;- Comfortable with ambiguity: most of what we build has no playbook yet, and you help write it.</p><br><p>&nbsp;&nbsp;&nbsp;- Keep it simple: pick the approach that delivers the most value with the least complexity, and #makeithappen.<br> &nbsp;</p><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> </div>

Whizz HR is hiring an MEP Estimator in Dubai<br>Location: Dubai Department: Estimation / MEPReports To: Estimation Manager / Project Manager Experience: 3–7 years in MEP Estimation, preferably in construction projects Education: Diploma/Degree in Mechanical/Electrical Engineering or relevant field<br>Job Summary:We are seeking a detail-oriented and experienced MEP Estimator to join our out team. The ideal candidate will be responsible for estimating Mechanical, Electrical, and Plumbing (MEP) works for interior fit-out projects, ensuring accuracy, competitiveness, and compliance with project specifications and industry standards.<br>Key Responsibilities:Analyze drawings, specifications, BOQs, and other documents to prepare accurate MEP cost estimates for interior fit-out projects. Coordinate with design, procurement, and project management teams to gather relevant project data. Prepare detailed quantity take-offs for MEP services: HVAC, electrical, plumbing, fire-fighting, and ELV systems. Request and analyze quotations from suppliers/subcontractors for MEP items. Prepare cost breakdowns, rate analyses, and tender documents. Participate in tender evaluations and value engineering processes. Ensure compliance with local codes (e.g., IS codes, NBC, etc.) and industry best practices. Attend site visits or pre-tender meetings when required to gather technical information. Maintain and update a database of unit rates, suppliers, and subcontractors. Support the commercial team during negotiations and post-tender clarifications. Required Skills & Qualifications:Degree/Diploma in Mechanical/Electrical Engineering. Minimum 3 years’ experience in MEP estimation, preferably in high-end construction projects. Strong knowledge of HVAC, Electrical, Plumbing, and Fire Fighting systems. Proficient in reading and interpreting MEP drawings. Experience in estimation software like Bluebeam, Plan Swift, or Auto CAD (optional). Good command over MS Excel, Word, and other Microsoft Office tools. Familiarity with Indian MEP codes, standards, and local market rates. Strong communication, analytical, and negotiation skills. Ability to work under tight deadlines. Preferred Industries:Interior Fit-Out Construction (Commercial/Retail/Hospitality) MEP Contracting Companies<br>Write to us with your resume at hello@whizzhr.com

Job Summary We are seeking an experienced Estimator to prepare accurate and competitive cost estimates for aluminum, façade, glazing, and related projects. The role will be responsible for analyzing project requirements, preparing quantity take-offs, obtaining supplier quotations, and ensuring all estimates align with project specifications and profitability targets. Key Responsibilities Review tender documents, BOQs, drawings, specifications, and project requirements. Prepare detailed quantity take-offs and cost estimates for aluminum and façade works. Estimate costs for aluminum profiles, glass, hardware, accessories, cladding, fabrication, installation, labor, and other related materials. Prepare comprehensive cost breakdowns, quotations, and tender submissions. Obtain and evaluate quotations from suppliers and subcontractors. Coordinate with Design, Procurement, Production, and Project teams to ensure accurate pricing. Identify discrepancies, exclusions, risks, and potential variations during the tender and estimation stage. Prepare value engineering and cost-saving proposals where applicable. Maintain updated databases for material prices, labor rates, supplier quotations, and subcontractor costs. Support the preparation and pricing of variations and additional works. Review actual project costs and compare them with estimated costs to improve future estimates. Ensure estimates are submitted accurately and within the required deadlines. Assist management with commercial and technical analysis of new opportunities. Requirements Bachelor’s degree in Civil Engineering, Mechanical Engineering, Quantity Surveying, Construction Management, or a related field. Minimum 5–8 years of relevant experience in estimation within the aluminum, façade, curtain wall, glazing, cladding, or aluminum fabrication industry. Strong knowledge of aluminum profiles, façade systems, curtain walls, windows, doors, glass, hardware, and related accessories. Excellent ability to read and interpret architectural, structural, and shop drawings. Strong experience in quantity take-offs, costing, and preparing detailed estimates. Knowledge of fabrication and installation costs for aluminum and façade systems. Proficiency in Microsoft Excel; knowledge of Auto CAD and estimation/ERP software is an advantage. Strong analytical, numerical, negotiation, and problem-solving skills. Ability to work under pressure and manage multiple tenders and deadlines. UAE/GCC experience is preferred.

<ul><li><p>Attend interviews and technical assessments on behalf of the company/client for candidates applying to Civil and MEP trade positions.</p></li><li><p>Evaluate candidates' practical skills, tool knowledge, and theoretical understanding relevant to their specific trade.</p></li><li><p>Conduct structured trade tests/technical questioning to verify hands-on competency and job-readiness of each candidate.</p></li><li><p>Assess candidates' understanding of site practices, safety procedures, and job-specific responsibilities relevant to Civil and MEP works.</p></li><li><p>Coordinate with the Recruitment and Manpower Planning teams to align technical evaluation criteria with client requirements and project specifications.</p></li><li><p>Prepare clear, objective technical evaluation reports/scorecards for each candidate interviewed, supporting hiring decisions.</p></li><li><p>Liaise with client technical/engineering teams to stay aligned on required skill standards, grading, and evolving project needs.</p></li><li><p>Maintain up-to-date knowledge of Civil and MEP trade practices, tools, materials, and site standards across projects.</p></li><li><p>Support the onboarding process by confirming accurate trade classification and skill grading of selected candidates.</p></li><li><p>Assist Operations in identifying skill gaps within currently deployed manpower and recommend training or up skilling needs.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Diploma in Engineering — Electrical or Mechanical (mandatory).</p></li><li><p>Minimum 3–5 years of practical/site experience across Civil and/or MEP works.</p></li><li><p>Prior experience in technical interviewing, trade testing, site supervision, or QA/QC preferred.</p></li><li><p>Strong working understanding of both Civil and MEP scope of work, and the specific job functions within each trade.</p></li><li><p>Experience within a manpower supply, contracting, or construction environment is an advantage.</p></li><li><p>Driving license is an added advantage </p><br><p>SKILLS REQUIRED</p><ul><li><p>Strong technical knowledge spanning both Civil and MEP disciplines.</p></li><li><p>Ability to objectively assess practical and theoretical competency of tradesmen across skill levels.</p></li><li><p>Good communication and interviewing skills, with the ability to explain technical findings clearly to non-technical stakeholders.</p></li><li><p>Strong attention to detail and sound, unbiased technical judgment.</p></li><li><p>Familiarity with UAE construction/manpower industry practices and standards (advantageous).</p></li><li><p>Basic computer literacy for preparing evaluation reports and maintaining candidate records.</p></li></ul></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>At Amazon Web Services we are leading the cloud revolution. As a Customer Solutions Manager you will take end-to-end ownership of a diverse range of projects and initiatives, utilizing your Program Management skills to interface with and influence a broad range of multi disciplinary teams (sales, solutions architecture, support, product, professional services, partners). You will be a trusted cloud advisor to your customer.<br>Key job responsibilities<br>The Customer Solutions Manager role is responsible for cloud transformational programs (technical, operational, organizational, education) that span across traditional IT teams and business units. With a deep understanding of your customer's business vision, culture and processes, you will be your customer's voice within AWS, ensuring that their needs are accurately communicated to AWS leadership, product, and engineering teams. You will coach customers on AWS services and support them in adopting the right solution at the right time. You should be passionate about delivering a great customer experience by deploying AWS solutions, driving innovation, and delivering successful migration programs.<br>About the team<br>Technical Solution Architects for SSA Region<br>- 5+ years of customer-facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies experience<br>- 5+ years of leading large-scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion experience<br>- Bachelor's degree in science, technology, engineering, math, business or equivalent<br>- Experience leading technical and non-technical transformation project teams with a proven ability to work across broad functional teams<br>- PMP certification, or SCRUM/Agile, SAFe certification<br>- Experience implementing cloud services including migrations and modernization projects or similar<br>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.</p><br> </div>