project engineer

mechanical engineer

estimation engineer

mep engineer

planning engineer

associate production engineer

Group AMANA

<div>
 
 Amana is seeking an experienced Data Platform Lead with deep expertise in Databricks, the Microsoft Azure ecosystem, and modern lakehouse architectures. The ideal candidate will play a central role in Amana's ongoing platform refresh, moving workloads from Synapse Analytics to a Databricks lakehouse with Unity Catalog, and building the technical foundation that powers analytics, AI, and governance across the enterprise. This role sits within Amana's Data Science, Governance &amp; AI Centre of Excellence, working alongside architects, engineers, analysts, data scientists, and AI engineers, with future growth opportunities into senior platform leadership.
 
 
 
 
 
 
 Why This Role Matters
 
 
 
 Amana operates across capital-intensive sectors where data reliability, cost discipline, and speed of insight are business-critical. The enterprise data platform is the backbone of every downstream analytics, AI, and governance initiative &mdash; from ERP-integrated reporting and predictive models to Agentic AI and Copilot rollouts across the group.
 
 
 You will be at the technical centre of this transformation, designing, building, and hardening the lakehouse that the rest of the function depends on.
 
 
 
 
 
 
 Core Responsibilities
 
 
 
 
 Lakehouse Architecture &amp; Delivery
 
 
 <ul>
 <li>
 Design and deliver end-to-end Databricks lakehouse components &mdash; ingestion, transformation, semantic layer, and serving.
 </li>
 <li>
 Set and enforce Delta Lake and medallion architecture standards across bronze, silver, and gold layers.
 </li>
 <li>
 Lead the technical execution of the Synapse Analytics to Databricks migration, including parallel run, cutover, and decommissioning.
 </li>
 <li>
 Contribute to and sign off on reference designs, integration patterns, and architecture decision records.
 </li>
 </ul>
 
 
 
 
 
 Data Engineering &amp; Integration
 
 
 <ul>
 <li>
 Build and maintain robust ingestion and transformation pipelines from Amana's core enterprise systems: Oracle Fusion (Finance, HCM, P2P, CRM), Hyperion, CMiC, project and operations systems, SharePoint, and Power Platform.
 </li>
 <li>
 Apply strong CI/CD, DataOps, and infrastructure-as-code practices using Git, Azure DevOps, and Terraform or Bicep.
 </li>
 <li>
 Ensure platform reliability through monitoring, alerting, and structured incident response.
 </li>
 </ul>
 
 
 
 
 
 AI/ML &amp; Analytics Enablement
 
 
 <ul>
 <li>
 Build and operate feature store, MLOps, and LLMOps foundations on Databricks.
 </li>
 <li>
 Enable production-grade RAG, agent, and Copilot patterns in partnership with the Data Scientist and AI Engineer.
 </li>
 <li>
 Deliver Power BI semantic models, certified datasets, and self-service guardrails supporting the Amana Digital Academy and enterprise adoption.
 </li>
 </ul>
 
 
 
 
 
 Data Governance &amp; Trustworthy Data
 
 
 <ul>
 <li>
 Implement lineage, cataloguing, access control, data quality, and PDPL controls inside the platform using Unity Catalog and Microsoft Purview.
 </li>
 <li>
 Partner with the Data Governance Office to translate live policies into enforceable platform controls.
 </li>
 <li>
 Support regulatory, ethical, and internal compliance obligations across the data estate.
 </li>
 </ul>
 
 
 
 
 
 Cloud &amp; Cost Discipline
 
 
 <ul>
 <li>
 Own FinOps hygiene on the platform: cluster policies, workload tiering, rightsizing, and chargeback readiness.
 </li>
 <li>
 Translate cloud cost outcomes into commercial terms understood by finance and business stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Technical Leadership
 
 
 <ul>
 <li>
 Work closely with the Data Architect, Data Engineer, Data Analyst, Data Scientist, and AI Engineer to set and uphold technical standards.
 </li>
 <li>
 Provide hands-on technical guidance and code review across the team.
 </li>
 <li>
 Translate business requirements into technical designs with clear delivery outcomes.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Minimum of 7 years in data engineering or data platform work, with strong hands-on delivery experience.
 </li>
 <li>
 At least 3 years hands-on with Databricks, Apache Spark, and Delta Lake at enterprise scale. Snowflake or BigQuery experience is acceptable where the CV shows a real Databricks migration.
 </li>
 <li>
 Contributed to the build or rebuild of an enterprise data platform serving multiple business domains.
 </li>
 <li>
 Deep hands-on experience with the Azure data stack: Databricks, ADLS, Azure Data Factory, Synapse, Azure SQL, Fabric.
 </li>
 <li>
 Direct experience integrating heavy ERP sources: Oracle Fusion, Hyperion, CMiC, or equivalent estates.
 </li>
 <li>
 Governance shipped to production using Unity Catalog or Microsoft Purview, with PDPL or GDPR controls operational, not theoretical.
 </li>
 <li>
 Practical FinOps outcomes on cloud spend.
 </li>
 <li>
 Strong on CI/CD, Git, Azure DevOps, and infrastructure-as-code (Terraform or Bicep).
 </li>
 <li>
 Excellent written and verbal communication skills across technical and business audiences.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Direct experience of a Synapse Analytics to Databricks migration.
 </li>
 <li>
 Exposure to MLOps and LLMOps stacks: MLflow, feature store, vector stores, RAG, agent frameworks.
 </li>
 <li>
 Familiarity with Power BI semantic models and enterprise BI governance.
 </li>
 <li>
 Streaming and event-driven experience: Kafka, Event Hubs, Structured Streaming.
 </li>
 <li>
 Multi-entity, multi-country group exposure with mixed data residency considerations.
 </li>
 <li>
 Industry experience in construction, engineering services, manufacturing, energy, or logistics.
 </li>
 </ul>
 
 
 
 
 
 Certifications
 
 
 
 
 
 Mandatory:
 
 
 
 <ul>
 <li>
 
 Databricks Certified Data Engineer Professional
 
 (Candidates holding the Associate level will be considered on the condition that Professional is achieved within 6 months of joining.)
 </li>
 </ul>
 
 
 Preferred (one or more):
 
 
 <ul>
 <li>
 
 Databricks Certified Machine Learning Professional
 
 </li>
 <li>
 
 Databricks Certified Generative AI Engineer Associate
 
 </li>
 <li>
 
 Microsoft Certified: Azure Data Engineer Associate
 
 (DP-203 / DP-700)
 </li>
 <li>
 
 Microsoft Certified: Fabric Analytics Engineer Associate
 
 (DP-600)
 </li>
 <li>
 
 Microsoft Certified: Azure Solutions Architect Expert
 
 </li>
 <li>
 
 Certified Data Management Professional (CDMP)
 
 &mdash; DAMA
 </li>
 </ul>
 
 
 Education
 
 
 
 M.Tech / B.E. / B.Tech (Computer Science, Information Systems, IT) / MCA / MCS.
 
</div>

Data Platform Lead

Auxo Talent

<div>
 
 Lead AI Engineer
 
 
 Dubai
 
 
 
 
 
 We are supporting a leading enterprise organisation in building a new AI capability.
 
 
 
 
 
 We're looking for a hands-on AI/ML Engineer with experience taking AI solutions from
 
 POC through to production deployment
 
 .
 
 
 
 
 
 This role will focus on building scalable AI applications using GenAI, LLMs, RAG architectures, APIs, and modern AI frameworks.
 
 
 
 
 
 
 Key Requirements
 
 
 <ul>
 <li>
 Strong Python engineering background
 </li>
 <li>
 Experience deploying AI/ML or GenAI solutions into production
 </li>
 <li>
 Hands-on experience with LLMs, RAG, vector databases, and orchestration frameworks (LangChain, LlamaIndex, etc.)
 </li>
 <li>
 Experience with cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 Strong understanding of APIs, system design, and software engineering best practices
 </li>
 </ul>
 
 
 
 
 
 Ideal Background
 
 
 
 AI Engineer, ML Engineer, Applied AI Engineer, GenAI Engineer, or Lead AI Engineer with a proven track record delivering production-grade AI systems.
 
</div>

Lead AI Engineer

Tata Consultancy Services

<div>
 
 
 Job Title
 
 &ndash; AI Engineer
 
 
 
 Company
 
 &ndash; TCS (MEA)
 
 
 
 Location
 
 &ndash; Dubai
 
 
 
 Job type
 
 &ndash; Full time
 
 
 
 
 
 
 About Us:
 
 
 
 Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world&rsquo;s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile&trade; delivery model, recognized as a benchmark of excellence in software development.
 
 
 A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world&rsquo;s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 
 
 Key Accountabilities:
 
 
 <ul>
 <li>
 
 AI Solution Design &amp; Development:
 
 </li>
 <li>
 Design, build, and deploy AI-powered applications using Azure AI Services, including Azure OpenAI Service, Azure Machine Learning, Azure Cognitive Services (Speech, Vision, Language), Azure AI Search, Azure Functions, and Azure Databricks.
 </li>
 <li>
 
 LLM Integration &amp; Generative AI:
 
 </li>
 <li>
 Develop and integrate Large Language Model (LLM) solutions using Azure OpenAI endpoints (GPT-4.1, GPT-4o, GPT-4o-mini) routed through FAB's centralized AI Hub gateway for governance, observability, and capacity management. Build enterprise use cases such as knowledge search, document intelligence, content summarization, call analytics, sentiment analysis, and workflow automation.
 </li>
 <li>
 
 Python Engineering &amp; Backend Development:
 
 </li>
 <li>
 Write clean, modular, and production-grade Python code for AI/ML model development, API integrations, data processing pipelines, backend services, and automation workflows using frameworks such as LangChain, LlamaIndex, Semantic Kernel, LangGraph, and FastAPI.
 </li>
 <li>
 
 RAG &amp; Semantic Retrieval:
 
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) pipelines, embeddings, vector search, semantic retrieval architectures, prompt engineering, and evaluation techniques for enterprise knowledge mining and document intelligence.
 </li>
 <li>
 
 Agentic AI Development:
 
 </li>
 <li>
 Design and develop intelligent agentic AI systems capable of planning, reasoning, tool execution, and orchestration across enterprise systems using FAB's GERNAS OS platform and Agent Development Kit (ADK) in a secure and governed manner.
 </li>
 <li>
 
 Model Evaluation &amp; Responsible AI:
 
 </li>
 <li>
 Implement model evaluation metrics for accuracy, hallucination detection, bias, latency, and throughput in alignment with FAB's Responsible AI framework. Ensure AI solutions comply with FAB's security, data privacy, model governance, and regulatory requirements, including controls for accuracy, hallucination, bias, latency, and resilience.
 </li>
 <li>
 
 Deployment &amp; Production Operations:
 
 </li>
 <li>
 Deploy, monitor, and optimize AI solutions in production environments using CI/CD practices, containerization, observability, logging, performance monitoring, and cost optimization techniques.
 </li>
 <li>
 
 Collaboration &amp; Stakeholder Engagement:
 
 </li>
 <li>
 Collaborate with data scientists, platform engineers, DevOps/MLOps engineers, business analysts, and product teams to convert business requirements into scalable AI solutions.
 </li>
 <li>
 
 Innovation &amp; Continuous Learning:
 
 </li>
 <li>
 Continuously evaluate emerging Azure AI, Generative AI, and Agentic AI capabilities and recommend practical adoption opportunities aligned with FAB's AI strategy. Stay abreast of state-of-the-art developments in generative AI and agentic architectures.
 </li>
 </ul>
 
 
 
 
 
 TECHNICAL SKILLS: minimum 3-4 yrs of working experience mandatory
 
 
 
 
 Azure AI Services:
 
 Demonstrated working experience with Microsoft Azure AI Services including Azure OpenAI, Azure Machine Learning, Azure Cognitive Services, Azure AI Search, Azure Functions, and Azure Databricks.
 
 
 
 Python Programming:
 
 Strong proficiency in Python programming, including experience with REST APIs, SDKs, asynchronous processing, data manipulation, backend development, and AI application frameworks (LangChain, LlamaIndex, Semantic Kernel, LangGraph, FastAPI).
 
 
 
 LLM &amp; Generative AI:
 
 Deep understanding of machine learning, statistical modeling, NLP, generative AI principles, LLM application development, prompt engineering, RAG architecture, embeddings, vector databases, semantic search, and model evaluation techniques.
 
 
 
 ML Libraries &amp; Frameworks:
 
 Advanced proficiency in ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and NLP libraries (spaCy, NLTK).
 
 
 
 Vector Databases:
 
 Experience with vector databases including FAISS, Azure AI Search, ChromaDB, and Pinecone.
 
 
 
 DevOps/MLOps:
 
 Hands-on experience with DevOps/MLOps practices and tools such as Git, Docker, Kubernetes, CI/CD pipelines, MLflow, Terraform, Azure Monitor, and Application Insights.
 
 
 
 Cloud Security &amp; Integration:
 
 Understanding of cloud security, identity and access management, data privacy, encryption, logging, monitoring, and secure API integration patterns.
 
 
 
 AI Ethics &amp; Governance:
 
 Awareness of ethical considerations and responsible AI practices, including fairness, accountability, transparency, bias detection, hallucination mitigation, and compliance in AI systems.
 
 
 
 
 
 
 KNOWLEDGE, SKILLS, &amp; EXPERIENCE
 
 
 
 
 
 Minimum Qualifications:
 
 
 
 
 Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or related field; Master's degree is preferred. Microsoft Certified: Azure AI Engineer Associate (AI-102) certification is highly preferred.
 
 
 
 
 Minimum Experience:
 
 
 
 
 3+ years of hands-on experience in designing, developing, and deploying AI/ML or Generative AI solutions in production environments.
 
 
 Mandatory hands-on experience with Microsoft Azure AI Services.
 
 
 Experience working with large-scale datasets and real-time enterprise data.
 
 
 Experience in financial services, banking, risk, compliance, customer service, or regulated enterprise environments is an advantage.
 
 
 
 
 Knowledge and Skills:
 
 
 
 
 
 Business Understanding:
 
 
 
 Strong understanding of business processes and the ability to identify opportunities for AI-driven optimization and automation across banking domains.
 
 
 
 Analytical &amp; Problem-Solving:
 
 
 
 Excellent analytical, problem-solving, debugging, and performance optimization skills with the ability to troubleshoot AI applications in production and translate complex business problems into AI solutions.
 
 
 
 Communication Skills:
 
 
 
 Strong verbal and written communication skills, capable of explaining complex AI concepts to both technical and non-technical stakeholders.
 
 
 
 Collaboration:
 
 
 
 Proven ability to work effectively in cross-functional teams, collaborating with data scientists, platform engineers, DevOps engineers, business analysts, and product teams.
 
 
 
 Responsible AI Mindset:
 
 
 
 Understanding of AI governance, model risk, data privacy, security, and compliance requirements in a regulated banking environment.
 
 
 
 Production Engineering:
 
 
 
 Ability to build, deploy, monitor, and optimize production-grade AI systems with attention to reliability, scalability, cost, and operational excellence.
 
 
 
 Adaptability &amp; Learning:
 
 
 
 Willingness to stay updated on the latest AI technologies, agentic frameworks, and cloud services, and the ability to apply them to solve evolving business challenges.
 
 
 Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.
 
 
 
 
 
 
 Application Deadline: 30- July -2026
 
 
 
 
 
 
 
 Privacy Note:
 
 
 
 https://www.tcs.com/connect-with-tcs/privacy-policy
 
</div>

AI Engineer

Vtricks Technologies 

Job Title: AWS Cloud Engineer (4&ndash;7 Years)Location: Dubai Experience: 4&ndash;7 Years Employment Type: Full-TimeAbout the RoleWe are looking for a skilled AWS Cloud Engineer to join our growing team in Dubai. The ideal candidate should have strong hands-on experience in designing, deploying, and managing cloud-native applications and infrastructure on AWS. You will work closely with development and DevOps teams to build scalable, secure, and highly available cloud solutions while driving automation and operational excellence.Key Responsibilities<ul><li>Design, deploy, and manage scalable cloud infrastructure on AWS.</li><li>Work extensively with AWS services such as EC2, VPC, IAM, S3, RDS, ELB/ALB, Route 53, CloudWatch, and CloudFormation.</li><li>Build, deploy, and support microservices-based applications.</li><li>Develop and maintain CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, or similar tools.</li><li>Containerize applications using Docker and manage Kubernetes clusters (EKS preferred).</li><li>Implement Infrastructure as Code (IaC) using Terraform or CloudFormation.</li><li>Collaborate with development teams to integrate backend services and REST APIs.</li><li>Monitor infrastructure, troubleshoot production issues, and optimize system performance.</li><li>Implement cloud security best practices, IAM policies, authentication, and access controls.</li><li>Work with messaging systems such as Kafka, RabbitMQ, or IBM MQ for event-driven architectures.</li><li>Ensure high availability, scalability, and disaster recovery for cloud applications.</li><li>Participate in Agile/Scrum ceremonies and support continuous improvement initiatives.</li></ul>Required Skills<ul><li>4&ndash;7 years of experience in AWS Cloud Engineering, DevOps, or Cloud Infrastructure.</li><li>Strong hands-on experience with AWS core services (EC2, VPC, IAM, S3, RDS, ELB, CloudWatch).</li><li>Experience with Docker and Kubernetes (EKS preferred).</li><li>Strong understanding of Microservices Architecture and REST APIs.</li><li>Experience building and maintaining CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, or similar.</li><li>Hands-on experience with Infrastructure as Code (Terraform preferred).</li><li>Knowledge of event-driven architecture and messaging platforms such as Kafka, RabbitMQ, or IBM MQ.</li><li>Proficiency in at least one programming language (Python, Node.js, or .NET).</li><li>Good understanding of IAM, OAuth2, cloud security, and authentication mechanisms.</li><li>Experience with monitoring and logging tools such as ELK Stack, CloudWatch, Prometheus, or Grafana.</li><li>Strong troubleshooting, analytical, and problem-solving skills.</li></ul>Good to Have<ul><li>AWS Certifications (AWS Solutions Architect Associate, AWS Cloud Practitioner, or equivalent).</li><li>Exposure to Azure, GCP, or OCI.</li><li>Experience working in Banking, FinTech, or other regulated industries.</li><li>Knowledge of DevSecOps practices and security automation.</li><li>Experience with Agile/Scrum development methodologies.</li></ul>Preferred Qualifications<ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li><li>Excellent communication and stakeholder management skills.</li><li>Ability to work independently in a fast-paced, collaborative environment.</li></ul>Why Join Us?<ul><li>Opportunity to work on enterprise-scale cloud transformation projects.</li><li>Exposure to modern cloud-native technologies and DevOps practices.</li><li>Collaborative work environment with opportunities for continuous learning and career growth.</li><li>Competitive compensation and benefits.</li></ul>Pay: AED3,755.12 - AED16,307.19 per monthApplication Question(s):<ul><li>What is your notice period in days?</li></ul>Experience:<ul><li>AWS Cloud Engineering, DevOps, or Cloud Infrastructure: 4 years (Required)</li></ul>Location:<ul><li>Dubai (Required)</li></ul>Work Location: In person

AWS Cloud Engineer (4–7 Years)

Hana Road Studios

We are looking for a talented and reliable Sound Engineer / Music Producer to join our recording studio in Downtown Dubai on a full-time, on-site basis.The ideal candidate should have strong technical skills in recording, mixing and music production, as well as experience producing songs across various commercial genres.Requirements<ul><li>Experience as a sound engineer, recording engineer and/or music producer</li><li>Experience in producing songs in various commercial music genres</li><li>Excellent knowledge of at least one major DAW, such as Pro Tools, Logic Pro, Ableton Live</li><li>Fluent English is required; additional languages are a strong plus</li><li>Experience with Dolby Atmos mixing is a great plus</li><li>Experience in songwriting, arranging or topline production</li><li>Basic video/content creation skills for social media</li></ul>Key Responsibilities<ul><li>Manage daily studio sessions with clients, including but not limited to vocal recording, music production, editing, mixing and basic mastering</li><li>Operate and maintain studio equipment, make sure all studio equipment is working properly before and during sessions</li><li>Keep software, plug-ins, DAWs and studio systems updated and properly organised</li><li>Troubleshoot basic technical issues related to audio equipment, software and signal flow.</li><li>Support the studio team with social media content production, including behind-the-scenes content, short videos, session footage and other promotional materials</li><li>Maintain a clean, organised and professional studio environment</li></ul>Work Location: In person

Music Producer / Sound Engineer

Crystal Corporation L.L.C.

Mechanical Product Design &amp; Development Engineerlocation - SharjahA specialized industrial manufacturing company is looking to hire a Mechanical Product Design &amp; Development Engineer to work on the design and development of industrial products that combine rubber and metal components and are used in sealing, isolation, expansion, gripping, and pressure-related applications.We are looking for a professional engineer who can take a product development project from the initial concept stage through design, engineering calculations, prototyping, testing, improvement, and final production. The candidate must be capable of ensuring that the product meets the required performance, safety, and technical specifications.Key Responsibilities<ul><li>Design and develop industrial mechanical products that include rubber and metal components operating under pressure or mechanical load.</li><li>Study product requirements, including size, operating pressure, application conditions, surface type, sealing method, gripping method, and safety requirements.</li><li>Perform engineering calculations related to pressure, generated forces, safety factors, gripping force, stress, deformation, and sliding resistance.</li><li>Design metal and rubber components to ensure proper performance, safety, durability, and manufacturability.</li><li>Select suitable materials for metal and rubber components based on operating conditions and application requirements.</li><li>Prepare 3D models and detailed 2D manufacturing drawings.</li><li>Perform or review FEA analysis to verify product strength, deformation, stress concentration, and potential failure points.</li><li>Analyze rubber behavior under compression, expansion, friction, and contact with different surfaces.</li><li>Design or review rubber moulds, including rubber injection, compression, or transfer moulding applications.</li><li>Study and improve mould design related to injection points, venting, shrinkage, flash control, deformation, and demoulding.</li><li>Follow up on prototype manufacturing and coordinate with production, workshop, quality, and suppliers.</li><li>Supervise product testing, review test results, and analyze failure causes when required.</li><li>Improve existing designs and develop new products based on market and customer requirements.</li><li>Prepare complete engineering documentation, including drawings, calculations, BOM, manufacturing instructions, and testing requirements.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s degree in Mechanical Engineering or a related field.</li><li>Minimum 5 to 8 years of practical experience in industrial mechanical product design.</li><li>Strong experience in designing rubber-metal assemblies.</li><li>Experience with products operating under water pressure, air pressure, sealing, isolation, gripping, or leakage prevention applications.</li><li>Strong ability to perform engineering calculations, not only 3D modelling or visual design.</li><li>Experience in rubber mould design, or strong practical understanding of rubber mould manufacturing and related production issues.</li><li>Proficiency in mechanical design software such as SolidWorks, Inventor, Creo, or similar.</li><li>Experience with engineering analysis software such as ANSYS, Abaqus, SolidWorks Simulation, or similar.</li><li>Ability to prepare professional manufacturing drawings with good understanding of tolerances and GD&amp;T.</li><li>Good understanding of rubber properties such as hardness, compression, elongation, tensile strength, tear resistance, and compression set.</li><li>Experience in selecting suitable materials for different industrial applications.</li></ul>Preferred Experience<ul><li>Experience in industrial sealing and isolation products.</li><li>Experience with rubber and metal products used in industrial or pressure-related applications.</li><li>Knowledge of rubber injection moulding, compression moulding, or transfer moulding.</li><li>Experience with mould flow or mould analysis software such as SIGMASOFT, Moldex3D, or similar.</li><li>Experience in designing products for high-pressure or harsh industrial environments.</li><li>Experience working with mould manufacturers, CNC machining, EDM, and mechanical workshops.</li><li>Experience developing products from concept stage to commercial production.</li><li>Ability to analyze product issues during testing or production and provide practical engineering solutions.</li></ul>Required Personal Skills<ul><li>Ability to manage a product development project from start to finish independently.</li><li>Fast learner with strong engineering accuracy.</li><li>Practical problem-solving mindset.</li><li>Ability to work closely with production, quality, purchasing, workshop, and suppliers.</li><li>Strong attention to engineering documentation, drawings, and revision control.</li><li>Ability to analyze technical problems and propose realistic solutions.</li><li>Commitment to quality, safety, and manufacturing standards.</li></ul>Role OverviewThe engineer will play a key role in developing new industrial products and improving existing designs, with a focus on performance, safety, manufacturability, and reducing production issues. The candidate is not required to lead a team, but must be able to take ownership of a design and development project and complete it efficiently, professionally, and with strong engineering discipline.Work Location: In person

Mechanical Product Design & Development Engineer

Naffco

Senior Chassis Design Engineer: lead end-to-end chassis development from concept to production, ensuring durability, manufacturability, and clear cross-functional collaboration.
 <div><div><h2 class="jobSectionHeader">Senior Chassis Design Engineer</h2>
A highly experienced engineering professional responsible for leading the design, development, and validation of vehicle chassis systems from concept through release and production launch. This role focuses on delivering robust, high-performance, and manufacturable chassis components and assemblies that meet structural integrity, durability targets, safety expectations, and vehicle dynamics performance requirements. The position requires strong technical leadership, disciplined execution of engineering processes, and close collaboration across engineering, suppliers, and manufacturing to ensure designs are feasible, consistent, and ready for scalable production.<h3 class="jobSectionHeader">
Essential Job Functions</h3><ul><li>
Own end-to-end chassis design activities, including concept development, detailed design, and formal design release, ensuring technical correctness, traceability, and alignment with program timing and milestones.</li><li>
Create and modify CAD models, drawings, and engineering specifications for chassis components and assemblies, maintaining accuracy, configuration control, and clear documentation for internal and supplier handoffs.</li><li>
Lead design reviews, DFMEA development and reviews, tolerance analysis, and engineering change management to identify risks early, reduce variability, and ensure changes are properly evaluated for impact across performance, cost, and manufacturability.</li><li>
Collaborate with cross-functional teams, suppliers, and manufacturing to validate design feasibility, confirm material and process selections, and support quality requirements through robust communication and issue resolution.</li><li>
Support prototype builds, testing, validation, and issue resolution through to production launch, including root-cause analysis, corrective actions, verification planning, and confirmation that final designs meet performance and durability objectives.</li><li>
Ensure compliance with applicable performance, durability, safety, and regulatory requirements by applying relevant engineering standards, verifying requirements are satisfied, and maintaining appropriate evidence throughout the development lifecycle.</li></ul><h3 class="jobSectionHeader">
Qualifications</h3><ul><li>
Proven experience in chassis engineering and vehicle systems design, with demonstrated ability to translate requirements into practical, build-ready designs across multiple program phases.</li><li>
Strong CAD and engineering analysis capability, including proficiency with engineering data, simulations, and structured evaluation methods to support design decisions and performance outcomes.</li><li>
Excellent problem-solving, communication, and stakeholder management skills, including the ability to lead reviews, align diverse teams, and drive actions to closure while maintaining clear technical rationale and documentation.</li></ul><h3 class="jobSectionHeader">
Minimum Requirement</h3>
Typically requires 8+ years of experience in chassis design within automotive OEM or Tier-1 environments. Demonstrates strong expertise in CAD design, CAE and simulation, vehicle dynamics, and design for manufacturability (DFM), along with excellent analytical, problem-solving, and communication skills. Has experience coordinating design reviews and engineering change processes, applying tolerance and risk-based engineering practices, and partnering with manufacturing and suppliers to ensure designs are robust, cost-aware, and ready for scalable production.</div></div>
 <div><div><div><div>Department</div>
<div>Chassis Manufacturing Division
</div><div>Role</div>
<div>Senior Chassis Design Engineer
</div><div>Locations</div>
<div>Dubai - UAE
</div><div>Monthly salary</div>
<div>AED10,000 - AED12,000</div></div></div></div>

Senior Chassis Design Engineer

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