Automotive Engineer Jobs in UAE

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Key Responsibilities • Administer LAN, WAN, routing, switching, wireless, VPN and network-security components within the approved scope.<br> • Monitor network health, capacity and availability and respond to alerts, incidents and performance degradation.<br> • Troubleshoot connectivity across offices, data centres, hosted environments and approved external services.<br> • Coordinate approved changes with telecom providers, TDRA and other relevant parties.<br> • Maintain network diagrams, IP plans, configuration baselines, inventories, backups and operational runbooks.<br> • Support firewall-rule, segmentation and secure-connectivity activities in coordination with cybersecurity.<br> • Contribute to resilience, capacity, failover and disaster-recovery testing.<br> • Participate in agreed on-call coverage for critical network incidents.<br> Minimum Experience and Qualifications • Minimum 6 years of enterprise network engineering experience.<br> • Strong knowledge of routing, switching, TCP/IP, wireless, VPN, firewalls and network monitoring.<br> • CCNP or equivalent professional-level certification preferred; CCIE is an advantage.<br> • Relevant Fortinet, Palo Alto or equivalent security-platform experience preferred.<br> • Strong incident troubleshooting and technical documentation capability.<br></span> </div>

<p>-Assist in the planning, execution, and monitoring of metal fabrication and cladding projects from commencement to completion. -Coordinate with clients, consultants, architects, subcontractors, and internal departments to ensure smooth project execution. -Review engineering drawings, shop drawings, material submittals, and project specifications. -Monitor fabrication, material procurement, delivery schedules, and site installation activities. -Supervise site activities to ensure work is carried out in accordance with approved drawings, project specifications, quality standards, and safety requirements. -Prepare project schedules, progress reports, and daily/weekly site updates. -Coordinate material requirements with the procurement and production teams to avoid project delays. -Monitor project progress, identify potential risks or delays, and propose corrective actions.</p><p>- With UAE experience in metal fabrication / cladding works - Engineering background (Civil / Mechanical or related field) - Experience in site supervision, drawings, material coordination, and project execution - Knowledge of fabrication, installation, and site requirements - Ability to coordinate with clients, consultants, production, and site teams</p>

The job holder is responsible for designing, building, and operating production-grade AI agents on Microsoft Foundry — LLM-powered systems that reason, use tools, and orchestrate multi-step workflows against enterprise data and services. This is a hands-on, pro-code role: the engineer writes Python, integrates Azure services, and ships agentic applications that drive measurable business impact. The engineer works within agile teams alongside Product, Data Science, and Architecture to take agent use cases from prototype to production.<br>Key Responsibilities:<br>AI Agent Development on Microsoft Foundry Design, build, and deploy pro-code AI agents on Microsoft Foundry, leveraging its agent framework, model catalogue, and tool/function-calling capabilities. Integrate agents with Palantir Foundry via MCP (Model Context Protocol) to fetch enterprise data and execute Ontology actions, alongside other tool, retrieval, memory, and multi-agent orchestration patterns in Python. Build evaluation harnesses and guardrails (groundedness, safety, cost, latency) and iterate on prompts, tools, and architectures based on measured outcomes. LLM Engineering & Productionization Apply prompt engineering, structured output, RAG, and grounding techniques appropriate to each use case. Operate agents in production: observability, tracing, cost monitoring, regression testing, and incident response. Manage versioning of prompts, tools, and agent configurations alongside code. Azure & Platform Integration Integrate with Azure services (Azure Open AI, AI Search, Storage, Functions, Container Apps, Key Vault, Entra ID) to deliver secure, scalable agent solutions. Build and maintain CI/CD pipelines for agent deployment, including automated evals as a release gate. Implement authentication, authorization, secret management, and data-handling patterns aligned with enterprise security standards. Cross-functional Collaboration Work closely with Product Managers, Data Scientists, and IT Architects to translate agent use cases into delivery plans. Communicate trade-offs (model choice, latency, cost, accuracy) clearly to technical and non-technical stakeholders. Champion agentic patterns and reusable components across the engineering organization.<br>Qualifications:Software engineering experience with hands-on production experience building LLM-based / agentic systems (tool use, orchestration, RAG, evals). Bachelor’s Degree in Computer Science, Engineering, or related quantitative field Advanced degrees preferred. Strong Python — idiomatic, typed, tested; comfortable with async and modern packaging Proven experience building production AI agents in code (e.g. Microsoft Foundry / Azure AI Foundry, Semantic Kernel, Auto Gen, Lang Graph, Llama Index, Open AI Agents SDK, or equivalent custom frameworks) Microsoft Foundry experience strongly preferred (agent authoring, model catalog, connectors, deployment) Azure exposure — Azure Open AI, AI Search, identity, storage, serverless compute; familiarity with Azure Dev Ops or Git Hub Actions Deep working knowledge of LLM application patterns: tool/function calling, structured outputs, RAG, memory, multi-agent orchestration Experience with evaluation frameworks and observability for LLM systems (tracing, prompt/response logging, automated evals) Dev Ops fundamentals: Git, CI/CD, containers, infrastructure-as-code; exposure to data engineering and vector stores is a plus High-energy, ownership-driven mindset Strong problem-solving and analytical skills Excellent communication and collaboration abilities Comfortable navigating ambiguity and driving clarity Experience in agile/start-up environments preferred Track record of taking AI/ML or agent projects from prototype to production

We are seeking a highly skilled and motivated Avionics Engineer – A330 to join our Engineering team. The role will support both Continuing Airworthiness Management Organization (CAMO) activities and active Line/Base Maintenance operations, ensuring the technical integrity, reliability, and continued airworthiness of the Airbus A330 fleet’s avionics, electrical, and cabin electronic systems.<br>The successful candidate will provide high-level technical support for maintenance operations, including O, I and D Level maintenance where applicable, and will act as a technical focal point for complex avionics-related issues.<br>Minimum Qualifications Bachelor’s degree in Aerospace, Aeronautical, Electrical/Electronic Engineering, or an equivalent technical discipline. A330 type rating is mandatory<br>Minimum Experience<br>Minimum 8+ years of experience in an airline, MRO, Technical Services, CAMO, Base Maintenance or Line Maintenance Engineering environment. Strong technical knowledge of Airbus A330 avionics and electrical systems, including Fly-By-Wire, Autoflight, Navigation, Communication, EFIS, ADIRS and Central Maintenance Systems. Proven experience using Airbus technical documentation, including AMM, IPC, TSM, ASM, ESPM and SRM. Experience in defect investigation, reliability monitoring, troubleshooting and technical reporting. Previous A330 MRTT experience will be considered a strong advantage. Knowledge of military aircraft maintenance operations and special mission systems is preferred.<br>Key Responsibilities<br>Review and assess Airworthiness Directives, Service Bulletins and other regulatory or manufacturer requirements related to A330 avionics systems. Prepare and issue Engineering Orders and technical instructions in line with applicable airworthiness requirements. Analyze fleet technical data, pilot reports, repetitive defects and reliability trends to identify corrective actions and improve fleet performance. Support the review and optimization of the avionics and electrical sections of the Aircraft Maintenance Programme. Evaluate and support the implementation of modifications, STCs, software configuration updates and avionics system upgrades. Provide advanced troubleshooting guidance to Line and Base Maintenance teams for complex or recurring avionics defects. Support AOG recovery by coordinating with Airbus Technical Support, OEMs and internal maintenance teams to expedite technical solutions. Monitor and manage MEL deferred defects, ensuring compliance with rectification intervals and operational requirements. Ensure engineering data, repairs and alterations comply with EASA Part-CAMO, Part-145 or applicable local authority requirements. Maintain accurate technical records and support internal and external airworthiness audits. Liaise with OEMs, including Airbus, Thales, Honeywell and other system suppliers, on technical queries, reliability issues and warranty claims. Act as a technical subject matter expert for avionics maintenance issues, supporting quality, safety and effective repair solutions. Comply with all relevant safety, quality and environmental management policies, procedures and controls. Ensure all work is carried out in accordance with departmental policies, standard operating procedures and applicable regulatory requirements.<br>Required Skills and Competencies<br>Strong knowledge of A330 avionics, electrical and cabin electronic systems. Strong analytical and troubleshooting skills. Ability to manage complex technical issues, engineering projects and modification activities. Ability to respond effectively to shifting priorities, urgent operational requirements and AOG situations. Good knowledge of Microsoft Office and MRO / airworthiness management software. Strong teamwork and communication skills, with the ability to work within a multidisciplinary engineering and maintenance environment. High attention to detail, particularly in airworthiness compliance records and technical documentation.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Help us build the future and we’ll help you build a rewarding and purposeful career.</strong></p><br><p><strong>Our global network is made up of architects, designers, planners, engineers, and environmental scientists all working towards the same goal.</strong></p><br><p><strong>We are inviting applications and expressions of interest from Engineers to join our growing Middle East team.</strong></p><br><p><strong>Opportunities Available</strong></p><br><ul><li><p>Electrical Design Engineer</p><br></li><li><p>Senior Electrical Design Engineer</p><br></li><li><p>ELV Design Engineer</p><br></li><li><p>Senior ELV Design Engineer</p><br></li></ul><p><strong>What You'll Do</strong></p><br><ul><li>Design electrical and ELV systems&nbsp;</li><li>Prepare detailed drawings, schematics, and layouts using AutoCAD, Revit, and Navisworks.</li><li>Conduct electrical calculations: load analysis, short-circuit analysis, voltage drop, and cable sizing.</li><li>Ensure compliance with DEWA, ADDC, UAE Fire Code, and other authority requirements.</li><li>Coordinate with other disciplines (MEP, architectural, infrastructure) during design phases.</li><li>Support tender documentation and technical specifications.</li><li>Liaise with suppliers and contractors to ensure design integrity and execution.</li></ul><p><strong>What You'll Bring</strong></p><br><ul><li>Bachelor’s degree in electrical engineering.</li><li>Demonstrable experience in electrical or ELV design, preferably in the UAE.</li><li>Proficiency in AutoCAD, Revit, and electrical design software.</li><li>Familiarity with DEWA, ADDC, and UAE regulatory standards.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and coordination abilities.</li><li>Proficiency in electrical design software such as AutoCAD Electrical, EPLAN, SolidWorks Electrical, or similar.</li><li>Knowledge of embedded systems, control systems, and power distribution.</li></ul><p><strong>Express Your Interest</strong></p><br><p>If you're ready to play a key role in the future of GHD Middle East's Engineering Teams, we'd love to hear from you.</p><br><p>Please submit your CV and a cover letter outlining your experience and interest in joining GHD.</p><br><p>This is an <i><strong>Expression of Interest</strong></i> campaign and future appointments may be dependent on upcoming project and panel opportunities.&nbsp;</p><br><p><strong>Our Hybrid Work Model</strong></p><br><p>Be part of a workplace that combines collaboration, flexibility, and connection. Join us in the office three days per week to contribute, connect and excel in our vibrant environment.</p><br><br><b>Let's put your ideas into action. </b> If you see the world differently and are driven by a desire to make real change, together we'll make it happen. Everybody at GHD has their own commitment, and we’re here to support yours.<br> Your success is our success, and together we'll make a lasting impact on our world for generations to come.<br> <b>Our Pledge to You</b> <br>At GHD, we don’t just believe in the power of commitment, we live and breathe it every day.<br> That’s why we pledge to empower our people to make a positive impact. Combining our deep technical expertise with the capabilities of our clients and partners, we respond to some of the most complex challenges facing our planet today.&nbsp;<br> See where your commitment could take you. <br> That’s the <b>#PowerOfCommitment</b><br> <b>Who we are&nbsp;</b> <br> GHD is a global professional services company that leads through engineering, architecture, and construction expertise. We are an employee-owned company with over 11,000 diverse and skilled individuals, across more than 200 offices spanning five continents. <br>The Power of Commitment is our brand promise. It’s what makes us different. We are bound to our stated vision and determination to address humanity’s most urgent needs: to make water, energy and urbanisation sustainable for generations to come.<br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>With over 14,000 professionals globally, GHD is a leading multidisciplinary professional services company delivering engineering, design, and advisory solutions across water, energy, resources, environment, property &amp; buildings, and transportation sectors.</span></p><br><p><span><strong>About the role</strong></span></p><br><p><span>Our Engineering team has a strong core team of highly experienced industry professionals who take a long-term approach to client management. Our unique market position and enviable reputation leads to strong trusted relationships and repeat business.</span><br><span>Due to a strong pipeline of projects, our Abu Dhabi team is expanding, and we are seeking an experienced</span><strong> ELV Design Engineer</strong><span> to undertake a variety of projects across the region.</span><br><span>In this role you will work as part of an integrated multi-disciplinary team across a variety of infrastructure, buildings, transport and other project types</span></p><br><p><strong>Roles &amp; Responsibilities</strong></p><br><ul><li>Design of other Extra Low Voltage (ELV) systems including but not limited to Telecommunication, PAVA, AV Systems, Electronic Security Systems, Structured Cabling System including Passive and Active components design, from conceptual design phase to construction phase.</li><li>Produce necessary ELV calculations including CCTV Field of View and Lense Calculation, Recording Time and Capacity Calculation, Wi-Fi Heat maps etc.</li><li>Coordination with other disciplines during the design phase, including Architectural, Interior Designers, MEP, Infrastructure, Landscape, etc.</li><li>Producing compliant design with all local authorities (Etisalat, Du, ADMMC, SIRA, etc.) and obtain all required design NOC/s.</li><li>Assists in the preparation and issuance of ELV Systems packages including drawings, single line diagrams, technical design report, schedules and specifications.</li><li>Liaise with Local suppliers to ensure adherence to standards and scope of works required by client.</li><li>ELV Engineer will be required to coordinate with BIM modelers and carry out Revit &amp; CAD design. &nbsp;</li><li>Assist the Sr. Engineer for design support, presentations and tender documentation.</li><li>Work well under pressure.</li><li>Work well with colleagues.</li></ul><p><strong>Experience &amp; Qualifications</strong></p><br><ul><li>Proven experience in a design consultancy, demonstrated by a minimum of 3 - 5 years of experience within engineering consultancy.&nbsp;</li><li>The commercial acumen to provide cost-effective security and ELV solutions.</li><li>An enthusiasm for staying up to date with the very latest updates about ELV systems integration and solutions.</li><li>Outstanding communication skills that go beyond “tech talk” – the ability to translate complex IT matters to those without an IT background.</li><li>Strong time management and organizational skills</li><li>Excellent written and verbal skills, with the ability to communicate complex issues concisely.</li></ul><p><span><strong>Why Join Us?</strong></span></p><br><ul><li><span>Work on globally significant projects, influencing the next generation of AI and hyperscale data centre design.</span></li><li><span>Be part of a globally recognised, fast-growing mission critical team delivering projects that blend technical excellence, sustainability, and commercial success.</span></li><li><span>Collaborate in a multi-disciplinary, innovative environment where your input shapes both standardised and bespoke solutions.</span></li><li><span>Join a team that values knowledge-sharing, mentorship, and professional excellence.</span></li><li><span><strong>Be part of a workplace that combines collaboration, flexibility, and connection. Join us in the office three days per week to contribute, connect and excel in our vibrant environment.</strong></span></li></ul><p><span><strong>Our Pledge to You</strong></span><br>&nbsp;</p><br><p><span>At GHD, we don’t just believe in the power of commitment, we live and breathe it every day.</span></p><br><p><span>That’s why we pledge to empower our people to make a positive impact. Combining our deep technical expertise with the capabilities of our clients and partners, we respond to some of the most complex challenges facing our planet today.&nbsp;</span></p><br><p><span>See where your commitment could take you.</span></p><br><p><span>That’s the <strong>#PowerOfCommitment</strong></span></p><br><br> </div>

Role Overview:We are looking for a Senior MLOps + Dev Ops Engineer (8+ years) to architect, build, and scale AI/ML platforms in an on-prem enterprise environment. This role requires end-to-end ownership of ML systems, infrastructure, CI/CD, and production reliability, enabling scalable deployment of machine learning and Gen AI solutions. Key Responsibilities: 1. Platform Architecture & Ownership- Design and own end-to-end ML platform architecture (data → training → deployment → monitoring)- Define and enforce best practices for scalable and secure ML systems- Standardize MLOps + Dev Ops frameworks and processes 2. Model Deployment & Serving- Deploy and manage ML/LLM models on GPU-based on-prem infrastructure- Optimize inference performance (latency, throughput, batching)- Implement model versioning, A/B testing, and rollback strategies 3. CI/CD & Automation- Design and implement CI/CD pipelines for ML models, APIs, and data workflows- Enable automated testing, deployment, and release management 4. Infrastructure & Containerization- Manage Linux-based (RHEL preferred) on-prem infrastructure- Containerize applications using Docker- Deploy and orchestrate workloads using Kubernetes / Open Shift- Operate within restricted or air-gapped environments 5. Data & System Integration- Build pipelines integrating structured databases and high-volume logs/streaming data- Support batch and real-time inference architectures 6. Monitoring, Observability & Reliability- Implement end-to-end observability (model + infra)- Use tools like Prometheus, Grafana, ELK stack- Ensure high availability, SLA adherence, and incident response 7. Gen AI & Advanced ML Systems- Deploy RAG pipelines and vector databases- Manage LLM serving frameworks- Work with agent orchestration frameworks 8. Leadership & Collaboration- Mentor engineers on MLOps and Dev Ops best practices- Collaborate with cross-functional teams- Drive design reviews and production readiness Required Skills: - Strong Python and scripting (Bash)- Deep understanding of ML lifecycle and productionization- Experience deploying ML/LLM systems in production- Linux, Docker, Kubernetes/Open Shift- CI/CD tools (Jenkins/Git Lab CI)- SQL and data pipeline experience<br>Good to Have:- GPU optimization knowledge- MLflow / Kubeflow- Terraform / Ansible- Experience in on-prem or restricted environments Experience:- 8+ years in MLOps / Dev Ops / Platform Engineering- Proven experience scaling production ML systems Ideal Candidate:A hands-on platform architect who can operate across ML systems and infrastructure, driving automation, scalability, and reliability.

Machine Learning Engineer<br>Position: Machine Learning Engineer<br>Type: Hourly Contract<br>Compensation: $80–$140/hour<br>Location: Remote<br>About the Opportunity This opportunity is for experienced Machine Learning Engineers with expertise in Python, machine learning, data analysis, model development, and Mongo DB to contribute to advanced AI training and evaluation projects. You'll apply your technical expertise to design and refine machine learning solutions, analyze datasets, evaluate model performance, and develop reliable workflows that support the training and deployment of next-generation AI systems. Responsibilities Design, develop, and refine machine learning models using Python and relevant ML frameworks. Analyze and process large datasets for model training, validation, and evaluation. Use Mongo DB for efficient data storage, manipulation, querying, and retrieval. Develop and maintain data preprocessing and feature engineering pipelines. Evaluate model performance using appropriate metrics, benchmarking, and validation techniques. Perform hyperparameter tuning and iterative model optimization. Collaborate with cross-functional teams to identify opportunities for model and workflow improvements. Integrate data pipelines into training and inference workflows. Document experiments, methodologies, results, and technical decisions to ensure reproducibility. Provide actionable insights and recommendations based on machine learning and data-driven findings. Required Qualifications Professional experience working as a Machine Learning Engineer, ML Developer, Data Scientist, or similar role. Strong proficiency in Python and machine learning development. Hands-on experience with machine learning frameworks such as scikit-learn, Tensor Flow, or PyTorch. Practical experience using Mongo DB for data management and retrieval. Strong understanding of machine learning algorithms, model evaluation, and data preprocessing. Experience with feature engineering, hyperparameter tuning, and model benchmarking. Strong analytical and problem-solving abilities. Excellent written communication and technical documentation skills. Ability to work independently and collaborate effectively in a remote environment. Preferred Qualifications Experience deploying or operationalizing machine learning models in cloud or enterprise environments. Familiarity with ML pipelines, model serving, and inference workflows. Experience working with large-scale datasets and production ML systems. Knowledge of MLOps, model monitoring, or automated ML workflows. Experience contributing to AI training, model evaluation, or data-quality initiatives. Strong understanding of scalable data and machine learning architectures. Ability to adapt quickly to evolving technical requirements and project priorities. Compensation Competitive compensation of $80–$140/hour. Hourly contract engagement. Fully remote with flexible working arrangements. Opportunity to contribute to next-generation AI training and evaluation projects. Application Process Easy Apply on Linked InCheck Email for Next Steps Complete the required assessment based on your professional background Participate in the interview/evaluation stage Hiring team review

Machine Learning Engineer<br>Position: Machine Learning Engineer<br>Type: Hourly Contract<br>Compensation: $80–$140/hour<br>Location: Remote<br>About the Opportunity This opportunity is for experienced Machine Learning Engineers with expertise in Python, machine learning, data analysis, model development, and Mongo DB to contribute to advanced AI training and evaluation projects. You'll apply your technical expertise to design and refine machine learning solutions, analyze datasets, evaluate model performance, and develop reliable workflows that support the training and deployment of next-generation AI systems. Responsibilities Design, develop, and refine machine learning models using Python and relevant ML frameworks. Analyze and process large datasets for model training, validation, and evaluation. Use Mongo DB for efficient data storage, manipulation, querying, and retrieval. Develop and maintain data preprocessing and feature engineering pipelines. Evaluate model performance using appropriate metrics, benchmarking, and validation techniques. Perform hyperparameter tuning and iterative model optimization. Collaborate with cross-functional teams to identify opportunities for model and workflow improvements. Integrate data pipelines into training and inference workflows. Document experiments, methodologies, results, and technical decisions to ensure reproducibility. Provide actionable insights and recommendations based on machine learning and data-driven findings. Required Qualifications Professional experience working as a Machine Learning Engineer, ML Developer, Data Scientist, or similar role. Strong proficiency in Python and machine learning development. Hands-on experience with machine learning frameworks such as scikit-learn, Tensor Flow, or PyTorch. Practical experience using Mongo DB for data management and retrieval. Strong understanding of machine learning algorithms, model evaluation, and data preprocessing. Experience with feature engineering, hyperparameter tuning, and model benchmarking. Strong analytical and problem-solving abilities. Excellent written communication and technical documentation skills. Ability to work independently and collaborate effectively in a remote environment. Preferred Qualifications Experience deploying or operationalizing machine learning models in cloud or enterprise environments. Familiarity with ML pipelines, model serving, and inference workflows. Experience working with large-scale datasets and production ML systems. Knowledge of MLOps, model monitoring, or automated ML workflows. Experience contributing to AI training, model evaluation, or data-quality initiatives. Strong understanding of scalable data and machine learning architectures. Ability to adapt quickly to evolving technical requirements and project priorities. Compensation Competitive compensation of $80–$140/hour. Hourly contract engagement. Fully remote with flexible working arrangements. Opportunity to contribute to next-generation AI training and evaluation projects. Application Process Easy Apply on Linked InCheck Email for Next Steps Complete the required assessment based on your professional background Participate in the interview/evaluation stage Hiring team review

<ul><li><p>Develop business with Oil & Gas companies, EPC contractors, consultants, and industrial clients by understanding project needs, mapping stakeholders, and building long-term relationships.</p></li><li><p>Promote Fire Protection Systems, including Fire Pumps, Clean Agent System, Sprinkler Systems, Foam Systems, Deluge Systems, Water Mist systems, and Gas Suppression Systems, ensuring product fit, compliance, and effective value proposition for each project.</p></li><li><p>Generate new business opportunities through lead identification, market research, networking, and consistent follow-up, while maintaining strong and responsive client relationships from initial inquiry through order closure.</p></li><li><p>Prepare techno-commercial proposals, quotations, BOQs, and tender submissions, ensuring completeness, accuracy, and timely submission in line with customer requirements and bid schedules.</p></li><li><p>Conduct client meetings, product presentations, and contract negotiations, clearly communicating technical benefits, commercial terms, performance expectations, and scope alignment.</p></li><li><p>Coordinate closely with engineering and estimation teams to support solution design, BOQ preparation, documentation readiness, and timely project execution.</p></li><li><p>Achieve sales targets by tracking opportunities and pipeline health, and maintain complete and up-to-date CRM records to ensure visibility of activities, forecasts, and customer interactions.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's Degree in Mechanical Engineering with a strong understanding of engineering fundamentals relevant to fire protection and fire fighting systems.</p></li><li><p><strong>3–5 years</strong> of Fire Protection Systems sales experience, including exposure to bidding, proposal preparation, and working with technical and commercial stakeholders across industrial projects.</p></li><li><p>Experience selling to <strong>Oil & Gas and EPC clients</strong>, demonstrating the ability to influence decision-making, manage stakeholder expectations, and support successful deal closure.</p></li><li><p>Knowledge of <strong>NFPA standards</strong> and fire protection products, including familiarity with system types, application use-cases, and the technical requirements expected by clients.</p></li><li><p>Strong technical, commercial, and negotiation skills, with the ability to translate engineering requirements into clear proposals and value-driven customer discussions.</p></li><li><p>UAE/GCC experience preferred, including an understanding of regional project environments, customer preferences, and procurement practices.</p></li><li><p>Valid UAE Driving License preferred to enable onsite visits, client meetings, and effective coordination across project locations.</p></li></ul>

Golang Technical Lead Experience: Minimum 8+ year’s relevant experience Location : Abu Dhabi, United Arab Emirates Job Type: Full-Time<br>Job Description The Role We're hiring Tech Leads to run engineering teams of 4 to 8 engineers. You are the technical owner of your team's outcomes. Most of your time is spent writing and reviewing code, but you are also accountable for technical direction, delivery, and the engineering health of the people on your team. This is hands-on. If you're looking for a manager seat with no coding expected, this is not it. What you'll do·Set technical direction for your team's domain and defend the decisions you make.·Write production code regularly, including in the most complex parts of the codebase.·Review code from every engineer on the team and use review as a teaching channel.·Plan delivery alongside your PO: break work down, manage risk, push back on scope when needed.·Own incidents in your domain end to end and coordinate across teams when required.·Mentor and grow your engineers, including giving direct performance feedback when needed.·Represent your team's technical posture to partners, vendors, and senior stakeholders. Requirements·Strong depth in at least one of our core stacks (Type Script, Go) and the ability to ramp on the others.·Track record of owning a service or product area in production over multiple quarters.·Demonstrated delivery in a startup or scale-up environment under shifting requirements.·Comfort with the harder parts of the role: telling someone their work is not good enough, saying no to senior stakeholders, owning the call when it's genuinely ambiguous.·Effective use of AI coding tools as a force multiplier for the team, not only for yourself. Nice to have·Fintech, banking, or other regulated-industry background.·Exposure to partner-driven delivery, especially integrations with banks, asset managers, or platform vendors. How we work and what we value We are a startup environment. We move quickly, decisions are made close to the work, and engineers are expected to take real ownership rather than wait for instructions. Specifically, we look for:·Ability to think. Can you reason through a problem you have not seen before, identify the right question, and propose an answer you can defend?·Ability to read code you did not write. A large part of the job is operating in unfamiliar codebases (ours, partners', SDK consumers') and reviewing code generated by AI tools. Strong reading skills matter as much as strong writing skills.·Ability to code. You can implement what you propose, cleanly and to a production standard.·Engineering rigor. You debug systematically, unblock yourself through proper investigation rather than guessing, and use the tools available to you (including AI) effectively.<br>If interested please share CV's - himapriya.gunukula@speridian.com

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Role Overview <p>We are seeking a highly motivated and skilled Navigation Engineer to contribute to the development of advanced autonomous navigation capabilities for Unmanned Ground Vehicles (UGVs). This role focuses on designing, implementing, and optimizing planning and control systems for autonomous operation across diverse environments, including off-road terrain, urban settings, and highway scenarios.</p><br><br> <p>The ideal candidate possesses strong expertise in control theory, motion planning, mathematical modeling, system identification, and optimization, combined with hands-on experience developing and validating autonomous navigation solutions in real-world applications. Experience with learning-based control techniques and intelligent decision-making frameworks is highly desirable.</p><br><br> Key Responsibilities <ul> <li>Design, develop, and optimize navigation, planning, and control algorithms for high-performance autonomous ground vehicles. </li><li>Develop accurate mathematical models of vehicle dynamics for simulation, analysis, and real-time implementation. </li><li>Implement advanced control strategies, including adaptive, robust, and predictive control methods, to ensure reliable operation in dynamic and uncertain environments. </li><li>Research, evaluate, and integrate learning-based approaches such as neural network-based system identification and reinforcement learning techniques. </li><li>Integrate navigation solutions with perception, localization, and vehicle software architectures to achieve seamless autonomous operation. </li><li>Conduct simulation, field testing, and performance validation of navigation and control systems. </li><li>Analyze experimental results and system performance to continuously improve accuracy, robustness, safety, and efficiency. </li><li>Develop and maintain technical documentation, including system designs, algorithms, performance analyses, and test reports. </li></ul> Required Qualifications <ul> <li>Master's or PhD degree in Robotics, Control Engineering, Electrical Engineering, Computer Science, Applied Mathematics, or a related discipline. </li><li>Strong theoretical and practical knowledge of motion planning, vehicle control, and autonomous navigation systems. </li><li>Expertise in classical and modern control methods, including control system design, analysis, and optimization. </li><li>Experience with mathematical modeling and system identification techniques. </li><li>Strong programming skills in C++. </li><li>Hands-on experience with ROS/ROS2 and navigation frameworks such as Nav2. </li><li>Strong analytical, problem-solving, troubleshooting, and debugging capabilities. </li><li>Excellent communication and technical writing skills, with the ability to work effectively in multidisciplinary engineering environments. </li></ul> Preferred Qualifications <ul> <li>Experience with optimization and control frameworks such as CasADi, ACADOS, or similar tools. </li><li>Knowledge of learning-based control methodologies and neural network-based system identification. </li><li>Experience applying reinforcement learning techniques to autonomous navigation and decision-making problems. </li><li>Familiarity with simulation environments and autonomous systems validation workflows. </li></ul> <br><br> </div>

<p>Our Multi National Design & Supervision Consultancy client has a new requirement for a well experienced Senior Planning Engineer to join their team in Ras Al Khaimah, UAE. Successful candidates will have a proven background as a Senior Planning Engineer on new build commercial, hospitality and residential projects in the UAE and ideally have worked for a recognised design or engineering consultancy company previously, This role is available for immediate joining and is for an initial 6 month fixed term contract as an outsourced employee through J10 Consulting. Key Responsibilities: • The Senior Planner is responsible for developing, updating, and monitoring baseline project schedules, analyzing critical paths, and tracking progress to ensure timely delivery. • Establish, update, and manage the integrated baseline Master Project Schedule (using Primavera P6) in alignment with contractual requirements. • Track daily, weekly, and monthly site progress against the approved baseline, identifying variances and generating Earned Value Management (EVM) metrics. • Continuously analyze the critical path and near-critical paths to forecast potential delays and recommend mitigation or catch-up plans to project management. • Evaluate the contractor’s Extension of Time (EOT) submissions by performing forensic delay analyses (e.g., Time Impact Analysis, As Planned vs. As-Built). • Monitor resource and equipment histograms to ensure optimal deployment and prepare executive project dashboards and monthly progress reports for the Client. • Work closely with design, construction, and procurement teams to ensure a synchronized, coherent approach to scheduling across all phases of the project. • Ensure critical milestones are clearly defined and monitored regularly, including engineering designs, procurement, construction activities, inspections, and handovers. • Act as the primary planning liaison for the site team, assisting the RE/PD in the coordination and supervision of day-to-day construction activities. • Ensure that all site operations are aligned with the schedule, and resources such as materials, equipment, and labor are available as per the project needs. • Monitor the work of subcontractors and contractors to ensure compliance with the project schedule, and contractual obligations. • Risk Management & Problem Solving: Proactively identify risks related to project delays, resources, and unforeseen issues that may impact project schedules. • Develop and implement corrective actions in conjunction with the Contractor to address and resolve any delays or challenges encountered during the construction process. • Monitor the Contractor’s KPIs on a weekly basis and ensure resource deployments are in line with the project requirements. • Maintain detailed documentation related to scheduling, progress reports, contractor submissions, change orders, and any other project-related documents. • Change Management: Evaluate any proposed changes to the project scope and assess their impact on the schedule, cost, and resource requirements. • Ensure Contractor’s incorporation of approved changes into the schedule and ensure that all impacted parties are informed and aligned.</p><p>Senior Planning Engineer Experience: • Bachelor’s degree in Civil Engineering, Architecture, Construction Management, or a related field. • A Master’s degree or Project Management Professional (PMP) certification is a plus. • In-depth proficiency in project scheduling software such as Primavera P6, Microsoft Project, and related tools. • A minimum of 8 years of experience in construction planning and site supervision, with at least 3 years of experience working within the UAE or GCC region. • A strong track record of delivering large-scale, complex projects across various typologies, including hospitality, luxury residential, mixed-use developments, and commercial sectors. • Experience in site-based roles, with a proven ability to manage all aspects of project scheduling, planning, and supervision on complex sites. • Strong knowledge of construction methodologies, project lifecycle management, and relevant industry standards (such as ISO, BS, and local building codes). • Familiarity with UAE/GCC construction codes, health and safety regulations, environmental guidelines, and quality standards. • Understanding of local building permits, regulations, and site requirements. • Exceptional leadership skills, with a proven ability to manage cross-functional teams and deliver results in fast-paced, dynamic environments. • Ability to foster a collaborative team environment, building strong relationships with stakeholders, subcontractors, and consultants. • Strong problem-solving abilities, with the capacity to foresee and mitigate potential risks or delays. • Exceptional attention to detail and organizational skills to manage multiple tasks and complex schedules simultaneously. • Strong communication and interpersonal skills, with the ability to present complex information to diverse audiences.</p>

Role Description Design, develop, test, and evaluate electrical systems, components, equipment, and related technical solutions in accordance with project and quality requirements. Review electrical drawings, specifications, schematics, technical documents, and engineering requirements to ensure accuracy and compliance. Conduct inspections, testing, measurements, and quality checks on electrical products, components, materials, and processes. Identify technical defects, quality issues, non-conformities, and process deviations, and coordinate appropriate corrective and preventive actions. Collaborate with engineering, production, procurement, suppliers, and other teams to resolve technical and quality-related issues. Develop and maintain inspection plans, test procedures, quality checklists, technical reports, and engineering documentation. Analyze test results, defect data, failure trends, and quality performance to identify root causes and improvement opportunities. Support product development, engineering changes, testing, validation, and production readiness activities. Ensure electrical designs, products, and manufacturing processes comply with applicable technical standards, safety requirements, specifications, and quality procedures. Participate in root-cause analysis, corrective action, preventive action, and continuous improvement initiatives. Monitor supplier and component quality and support supplier evaluations, inspections, and technical issue resolution where required. Prepare engineering and quality reports, communicate findings, and provide recommendations to relevant stakeholders. Support audits, quality reviews, equipment inspections, and compliance activities as required. Promote consistent engineering and quality practices to improve reliability, safety, efficiency, and product performance. Qualifications Bachelor’s degree in Electrical Engineering, Electronic Engineering, Quality Engineering, Industrial Engineering, or a related discipline. Strong understanding of electrical engineering principles, testing methods, quality control, inspection processes, and manufacturing or engineering practices. Knowledge of electrical drawings, schematics, components, measurement equipment, testing procedures, and technical specifications. Familiarity with quality management systems, root-cause analysis, corrective and preventive actions, and continuous improvement methodologies. Understanding of relevant electrical, safety, quality, and industry standards is an advantage. Strong analytical and problem-solving skills, with the ability to investigate technical and quality issues systematically. Good knowledge of quality tools such as 8D, FMEA, SPC, 5 Whys, Fishbone analysis, or similar methodologies is an advantage. Proficiency in Microsoft Office, particularly Excel; familiarity with CAD, engineering, testing, ERP, or quality management systems is a plus. Strong attention to detail and commitment to technical accuracy, product quality, and safety. Excellent communication and coordination skills, with the ability to work effectively across engineering, manufacturing, quality, and supplier teams. Strong organizational skills with the ability to manage multiple technical tasks, inspections, investigations, and deadlines. Proactive, responsible, and results-oriented approach with a focus on continuous improvement.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Decima International is a professional services company, providing project management and controls services to clients in the United States and the Middle East. Our mission is to become the premier professional services provider across all industry sectors we are engaged in. To accomplish this, Decima International’s founders established a simple yet powerful formula:</p><br><p>Approach each client engagement as a&amp;nbsp;<strong>partnership</strong>, create an environment that attracts the&amp;nbsp;<strong>most talented professionals</strong>&amp;nbsp;and allows them to flourish, and regulate&amp;nbsp;<strong>growth</strong>&amp;nbsp;to maintain&amp;nbsp;<strong>excellence</strong>&amp;nbsp;in our service standards.</p><br><br><p>We are seeking an accomplished and highly experienced <strong>Senior Resident Engineer</strong> to lead site supervision and construction delivery oversight for a large-scale building project in Dubai, UAE. This client-facing leadership role requires strong technical expertise in civil, electrical, or mechanical engineering, with proven experience supervising complex construction works, coordinating multidisciplinary site teams, and ensuring that project execution aligns with approved drawings, specifications, contract requirements, quality standards, safety expectations, and project objectives.</p><br><p>The ideal candidate will have extensive experience managing supervision and construction activities for similar-sized buildings, preferably within <strong>data center</strong>, mission-critical, industrial, infrastructure, or large-scale commercial developments. The role also requires a strong awareness of construction contracts, contract administration, claims, variations, and contractual obligations.</p><br><p>You will play a key role in representing the client’s interests on site, coordinating with contractors, consultants, engineers, project managers, and stakeholders to ensure construction works are delivered safely, efficiently, and in accordance with the project’s technical, commercial, schedule, and quality requirements.</p><br>RESPONSIBILITIES<ul><li>Lead site supervision activities across civil, structural, architectural, mechanical, electrical, and related construction works, ensuring compliance with approved drawings, specifications, standards, and project requirements.</li><li>Serve as the senior site representative and primary technical interface between the client, consultants, contractors, subcontractors, and project stakeholders.</li><li>Oversee construction progress, site activities, inspections, technical coordination, quality performance, and contractor execution.</li><li>Monitor contractor performance to ensure works are completed safely, on schedule, within quality expectations, and in accordance with contractual obligations.</li><li>Review construction methodologies, method statements, inspection and test plans, material submittals, shop drawings, technical submissions, and site execution plans.</li><li>Coordinate with discipline engineers to resolve technical issues, design clarifications, RFIs, site constraints, and constructability challenges.</li><li>Chair and participate in site coordination meetings, progress meetings, technical workshops, and contractor review sessions.</li><li>Review contractor progress reports, site records, inspection results, NCRs, quality observations, and corrective action plans.</li><li>Ensure that works are properly inspected, tested, documented, and accepted in line with project quality procedures and applicable codes and standards.</li><li>Monitor project risks, delays, interface issues, and site constraints, escalating critical matters to project leadership with recommended corrective actions.</li><li>Support contract administration activities, including review of variations, claims, delay events, change requests, contractual notices, and commercial documentation.</li><li>Provide input on contractor payment applications, progress assessments, change orders, and claims from a technical and site execution perspective.</li><li>Ensure proper coordination between construction, design, procurement, project controls, cost, quality, safety, commissioning, and handover teams.</li><li>Support schedule monitoring by validating actual site progress against the approved construction schedule and identifying areas of delay or concern.</li><li>Promote effective communication and coordination across all site stakeholders to support timely decision-making and issue resolution.</li><li>Ensure that all site activities comply with applicable UAE regulations, local authority requirements, client standards, project specifications, and industry best practices.</li><li>Support testing, commissioning, handover, snagging, closeout, and turnover activities to ensure project completion requirements are achieved.</li><li>Mentor and guide site engineering teams, promoting accountability, technical excellence, quality, safety, and professional conduct.</li><li>Perform other related duties as required and assigned.</li></ul>QUALIFICATIONSRequired qualifications:<ul><li><strong>20+ years</strong> of experience in resident engineering, construction supervision, project management, site engineering, or construction management for large-scale building, infrastructure, industrial, or mission-critical projects.</li><li>Bachelor’s degree in Civil Engineering, Electrical Engineering, Mechanical Engineering, Construction Management, or a related technical field.</li><li>Senior-level engineering background in <strong>Civil</strong> or <strong>Electrical &amp;amp; Mechanical</strong> disciplines.</li><li>Proven experience supervising and managing the construction of similar-sized buildings or complex large-scale developments.</li><li>Prior experience working on <strong>data center</strong>, mission-critical, industrial, infrastructure, or large-scale commercial building projects is highly desirable.</li><li>Strong technical understanding of multidisciplinary construction activities, including civil, structural, architectural, mechanical, electrical, and building services works.</li><li>Demonstrated experience leading site supervision teams and coordinating contractors, consultants, subcontractors, and client representatives.</li><li>Strong awareness of construction contract law, contract administration, claims, variations, notices, change management, and contractual obligations.</li><li>Ability to review and interpret drawings, specifications, contracts, method statements, shop drawings, material submittals, schedules, and technical documentation.</li><li>Experience in monitoring contractor performance, site progress, quality compliance, safety practices, and construction deliverables.</li><li>Strong understanding of quality assurance, site inspection processes, NCR management, testing, commissioning, handover, and closeout requirements.</li><li>Excellent communication, leadership, negotiation, and stakeholder management skills.</li><li>Strong problem-solving skills with the ability to resolve technical, contractual, and site coordination issues in a timely manner.</li><li>Ability to manage multiple priorities and make sound decisions in a fast-paced, client-facing project environment.</li><li>Proficiency in Microsoft Office Suite, including Excel, Word, PowerPoint, and Outlook.</li></ul>Preferred qualifications:<ul><li>Master’s degree in Engineering, Construction Management, Project Management, or a related field.</li><li>Professional Engineer, Chartered Engineer, or equivalent professional registration.</li><li>Professional certifications, such as PMP, RICS, CIOB, FIDIC, or other relevant credentials in construction/project management.</li><li>Experience working on <strong>hyperscale data centers</strong> or other large-scale, mission-critical facilities.</li><li>Experience working in a PMC, owner’s representative, consultant, or client-side supervision role.</li><li>Previous experience working in Dubai, the UAE, or the wider GCC region.</li><li>Familiarity with UAE authority requirements, permitting processes, inspections, and local construction regulations.</li><li>Knowledge of FIDIC-based contracts and international construction contract administration practices.</li><li>Familiarity with Primavera P6, Microsoft Project, Aconex, Procore, Oracle Primavera Cloud, or other project management and document control platforms.</li></ul>POSITION DETAILS<ul><li><strong>Location (On-site):</strong> Dubai, United Arab Emirates</li><li><strong>Position:</strong> Senior Resident Engineer</li><li><strong>Position Classification:</strong> Salary-based full-time hours</li></ul><p>Decima International is an Equal Opportunity Employer that is committed to the safety and well-being of all. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law.</p><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Wood is currently recruiting for an experienced PMC Lead Ground Improvement Engineer for our ADNOC project in Abu Dhabi within our Oil, Gas &amp; New Energies business.&nbsp; <br> Due to the nature of the projects and client expectation, the position will be based full time at our client office in Abu Dhabi, United Arab Emirates.&nbsp; <br> <strong>The Role</strong> <br> The PMC Lead Ground Improvement Engineer is responsible for overseeing, reviewing, and managing all ground improvement activities executed by contractors during project delivery. Acting on behalf of the Project Management Consultant (PMC), the engineer ensures that all ground improvement works comply with project specifications, design requirements, international standards, quality, safety, and schedule objectives. <br> <p><strong>Our Clients and Projects</strong></p><br> <p><strong>Designing the future. Transforming the world.&nbsp;</strong></p><br> <p>Wood's Oil, Gas &amp; New Energies business is built on a strong legacy of delivering large and complex projects for national and international energy companies across the globe. We have experienced teams, a proven delivery model and a strong reputation.&nbsp;</p><br> <br> <p>We are the market-leading provider of integrated and innovative solutions that challenge the status-quo in the oil and gas upstream and midstream, onshore and offshore, gas to liquids and decarbonization and electrification markets. We pride ourselves in steady and predictable delivery, setting our sights on an exciting growth trajectory. &nbsp;</p><br> <br> <p>Energy security, transition and supply have never been more important. You, our enabling teams, are at the very forefront of transformative projects that are providing sustainable power to generations to come. We are the ones to bring low-carbon concepts to reality.&nbsp;</p><br> <br> <p><strong>What we can offer</strong></p><br> <ul> <li><strong>Meaningful and interesting projects:</strong>&nbsp;Delivered to high profile clients across the Energy Sector</li> <li><strong>Commitment to Diversity and Inclusion:&nbsp;</strong>We are an organization actively committed to diversity and inclusion across our business&nbsp;</li> <li><strong>Competitive remuneration package:</strong>&nbsp;With regular reviews to ensure we are rewarding at the right level in line with the market&nbsp;</li> <li><strong>Medical Insurance:</strong> Ensures inpatient, and outpatient medical care is available should you require treatment</li> <li><strong>Group Life and Personal Accident Insurance</strong>: The company provides Life Assurance cover&nbsp;</li> <li><strong>End of Service Gratuity:&nbsp;</strong>In line with UAE Labor Law, all employees are eligible for an End of Service benefit</li> <li><strong>The Employee Share Plan</strong>: Gives you the opportunity to purchase Wood shares and receive a match from the company</li> <li><strong>Long Service Award:&nbsp;</strong>Wood values the commitment and loyalty of our people. Celebrating Long Service provides an opportunity for the business to demonstrate their appreciation of the hard work, dedication and many years’ service of our employees at 5 year service milestones</li> <li><strong>Commitment to continued professional development:</strong>&nbsp;Development plans that are tailored to your individual needs and interests&nbsp;</li> <li><strong>Global connections</strong>: Join experts around the world who are at the leading edge of our industry, shaping the standards of our profession&nbsp;</li> <li><strong>Energy Transition Academy:&nbsp;</strong>Join a community of experts sharing your knowledge and gaining more exposure to a variety of existing and emerging energy systems – delivered by experts in their field</li> </ul> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> <br><br><br> Wood is a global leader in consulting, engineering and operations for the energy and materials sectors. With 33,000 people in around 50 countries, Wood supports clients across the full asset lifecycle, delivering safe, predictable outcomes while enabling resilient operations and a lower carbon future. Wood forms the Energy &amp; Materials pillar of Sidara - a global partnership uniting leading multidisciplinary engineering, design, and project management companies. www.woodgroup.com<br> <b>Diversity Statement&nbsp;</b><br> We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.<br> </div>