وظائف مهندس انظمة مدمجة في الإمارات

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description A hands-on technical architect / engineering lead embedded with feature teams across IBM Technology. The role codes, builds solutions from scratch, and enforces software engineering best practices (DDD, TDD, SOLID, Hexagonal Architecture, Twelve-Factor App) while delivering reusable building blocks. The Technical Architect also animates a developer community of practice to elevate engineering maturity across all squads. Responsibilities Hands-On Engineering Code alongside squads: DDD (Bounded Contexts, Aggregates, Domain Events), Hexagonal Architecture, SOLID, TDD Ensure Twelve-Factor App compliance for all cloud-native services Software Factory &amp; CI/CD Define and enforce CI/CD pipelines, code review standards, trunk-based branching, static analysis (SonarQube), and API standards Establish observability patterns: structured logging, distributed tracing, correlation IDs Cloud Adoption Drive cloud-native design patterns across squads: microservices, serverless, event-driven, container orchestration on AWS (primary) and Azure Enforce infrastructure-as-code (Terraform), cloud security best practices (IAM, secrets management, network segmentation), and cost-aware architecture Reusable Building Blocks Design and code shared libraries, starter kits, and project archetypes embedding all best practices Feature Team Enablement Pair-program, conduct code reviews, run workshops on DDD / TDD / SOLID / Hexagonal / Twelve-Factor Mentor developers to elevate overall engineering maturity Developer Community Animate Community of Practice: tech talks, coding dojos, hackathons Maintain an engineering playbook with patterns, anti-patterns, and reference implementations Expected Deliverables Engineering Playbook (DDD, TDD, SOLID, Hexagonal, Twelve-Factor, CI/CD, API standards) Reusable building blocks, starter kits, and project archetypes CI/CD pipeline templates for all service types Architecture Decision Records (ADRs) Monthly code quality and CoP activity reports Technical debt register Skills Must have Technical Skills: 10+ years hands-on software development, building solutions from scratch Expert in Java (Spring Boot), C# (.NET Core), Python, or Kotlin Deep DDD, TDD/BDD, SOLID, Hexagonal / Clean Architecture, Twelve-Factor App CI/CD tooling (Git, GitLab CI/CD); Docker, Kubernetes; Terraform / IaC Cloud: AWS (EKS, MSK, Lambda, S3, RDS, IAM, CloudFormation, API Gateway, SQS/SNS); Azure (AKS, DevOps, Service Bus, Key Vault). Event-driven architectures (Kafka, SQS/Service Bus/IBM MQ); API design (REST, gRPC, OpenAPI) Security-by-design, observability, and code quality tooling (SonarQube, SAST/DAST) Soft Skills: Influences through craft, not authority; proven mentor and community builder Pragmatic: balances engineering excellence with delivery pressure Strong technical writing: ADR</p></div>

<p> <strong>1. <u>Site Execution</u></strong></p><ul><li><p>Supervise RCC works, foundations, slabs, pits, trenches, tanks and other civil works as per approved drawings and specifications.</p></li><li><p>Check reinforcement, formwork, dimensions, levels and embedded items before concreting.</p></li><li><p>Monitor contractor manpower, materials, equipment and daily productivity.</p></li><li><p>Track actual progress against agreed targets, identify delays and ensure necessary recovery actions are implemented.</p><br><ol start="2"><li><p><strong><u>BOQ, Quantity Measurement & Billing</u></strong></p><br></li></ol></li></ul><ul><li><p>Understand the BOQ and verify executed quantities against approved drawings and actual site work.</p></li><li><p>Jointly measure completed quantities with the Civil Contractor on a daily basis and maintain proper measurement records.</p></li><li><p>Verify quantities of concrete, reinforcement, formwork and other civil works.</p></li><li><p>Check and certify contractor progress bills based on actual measured and completed quantities.</p></li><li><p>Identify and verify any variation or additional work before it is considered for billing.</p><br><ol start="3"><li><p><strong><u>Machine & Equipment Foundations</u></strong></p></li></ol></li></ul><ul><li><p>Supervise machine and heavy equipment foundations, ensuring correct dimensions, levels, openings and embedded components.</p></li><li><p>Coordinate civil readiness with machinery installation requirements.</p><br><ol start="4"><li><p><strong><u>PEB & Anchor Bolt Coordination</u></strong></p></li></ol></li></ul><ul><li><p>Coordinate pedestal preparation, anchor bolt fixing, alignment and levels with the PEB contractor.</p></li><li><p>Ensure foundations are completed and handed over according to the PEB erection sequence.</p><br><ol start="5"><li><p><strong><u>Drainage & Underground Services</u></strong></p></li></ol></li></ul><ul><li><p>Supervise stormwater, sewerage, industrial drainage, trenches, manholes and underground civil works.</p></li><li><p>Check slopes and invert levels and coordinate with MEP services to avoid clashes.</p><br><ol start="6"><li><p><strong><u>Quality & Technical Coordination</u></strong></p></li></ol></li></ul><ul><li><p>Ensure execution complies with approved drawings, specifications and required quality standards.</p></li><li><p>Coordinate inspections, RFIs, technical clarifications and testing with consultants and contractors.</p></li><li><p>Review structural, architectural, PEB and relevant MEP drawings for site coordination.</p><br><ol start="7"><li><p><strong><u>Project Handover</u></strong></p></li></ol></li></ul><ul><li><p>Coordinate snagging, rectification, as-built documentation and final handover of civil works.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Qualification & Experience</strong></p><ul><li><p>Bachelor’s Degree in Civil Engineering.</p></li><li><p>5–10 years of experience, preferably in industrial/manufacturing plant construction.</p></li><li><p>UAE/GCC experience preferred.</p></li><li><p>Strong knowledge of RCC works, machine foundations, PEB foundations/anchor bolts, drainage and underground works.</p></li><li><p>Strong understanding of BOQ, site measurement, quantity verification and contractor billing.</p></li><li><p>Ability to read structural, architectural and coordination drawings.</p></li><li><p>AutoCAD and MS Office proficiency.</p></li><li><p>Strong site execution and contractor management skills.<br></p><p>Preference: Experience in manufacturing plants, industrial facilities, PEB buildings or heavy machinery foundation projects.</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are building a world-class, in-house AI engineering capability to create and scale enterprise AI solutions for complex operational environments. We build, own, and continuously evolve our AI products rather than relying on off-the-shelf solutions.</span> <p><span>As a <strong>Forward Deployed AI Engineer, y</strong>ou will define the technical direction for an AI squad embedded within the business. Working closely with stakeholders, you will understand business challenges and their underlying drivers, then design, build, deploy, and operate agentic AI systems that deliver measurable outcomes.</span></p><br><br> <p><span>This is a highly hands-on, build-first role with end-to-end ownership of real business outcomes. You will partner with Business Product Owners and AI Value Architects while leveraging a shared AI platform, standards, and integration frameworks that enable teams to innovate rapidly and independently.</span></p><br><br> <span>Key Accountabilities &amp; Responsibilities</span> <span>Understand Before You Build</span> <p><span>Begin every initiative by understanding the business problem, objectives, and desired outcomes. Partner directly with stakeholders and lead solutions from discovery through production deployment.</span></p><br><br> <span>AI Solution Development</span> <ul> <li><span>Design, build, deploy, and continuously improve enterprise-grade agentic AI applications using agentic development practices as the primary engineering approach.</span> </li><li><span>Develop AI agents capable of multi-step reasoning, tool and API orchestration, context management, exception handling, and human-in-the-loop workflows at enterprise scale.</span> </li><li><span>Design and implement Retrieval-Augmented Generation (RAG) solutions, including data ingestion, chunking strategies, embeddings, vector search, retrieval optimization, grounding, and source traceability.</span> </li><li><span>Build integrations using Model Context Protocol (MCP) and connect AI systems to enterprise platforms through REST APIs, OpenAPI specifications, webhooks, and event-driven architectures.</span> </li><li><span>Create reusable, self-service AI services and interfaces that can be leveraged across multiple business domains.</span> </li><li><span>Apply structured LLM engineering practices, including tool calling, schema validation, retries, fallbacks, and guardrails.</span> </li></ul> <span>Quality, Reliability &amp; Governance</span> <ul> <li><span>Own solution quality from inception through operation, including testing, evaluation, observability, logging, version control, and continuous feedback mechanisms.</span> </li><li><span>Optimize reliability, accuracy, performance, security, latency, and cost across deployed AI solutions.</span> </li><li><span>Ensure compliance with security, privacy, access controls, auditability, responsible AI principles, and governance requirements.</span> </li></ul> <span>Technical Leadership</span> <ul> <li><span>Take ownership of business outcomes within a specific domain, ensuring successful delivery and measurable impact.</span> </li><li><span>Establish reusable patterns, frameworks, and engineering standards that strengthen internal AI capabilities.</span> </li><li><span>Collaborate effectively with Product Owners, AI Architects, and engineering teams, while challenging assumptions and identifying when AI is not the appropriate solution.</span> </li><li><span>Define technical direction, architecture standards, and strategic build-versus-buy decisions for AI initiatives.</span> </li><li><span>Design multi-agent systems, agent-to-agent communication patterns, and evaluation frameworks that ensure robustness and scalability.</span> </li><li><span>Lead engagements with external AI technology providers and partners while maintaining a strong focus on internal capability development.</span> </li><li><span>Mentor engineers, conduct technical reviews, and raise engineering standards across quality, security, and cost optimization.</span> </li></ul> <span>Education &amp; Experience</span> <p><span>We are seeking a technical leader who combines deep engineering expertise in agentic AI with strong business acumen and a hands-on delivery mindset.</span></p><br><br> <span>Core Requirements</span> <ul> <li><span>Demonstrated curiosity and a passion for understanding complex business and operational challenges.</span> </li><li><span>Strong business-first, human-centered approach, recognizing that AI augments people rather than replacing them.</span> </li><li><span>Excellent communication skills in English and experience working within diverse, international teams.</span> </li><li><span>8+ years of experience building production-grade software, including:</span> <ul> <li><span>4+ years working with Generative AI, Large Language Models (LLMs), or applied Machine Learning.</span> </li><li><span>At least 1 year of hands-on experience designing and deploying agentic AI solutions.</span> </li><li><span>Proven success setting technical direction and delivering AI solutions at scale.</span> </li></ul> </li><li><span>Hands-on experience or strong working knowledge of Model Context Protocol (MCP) for connecting AI agents with systems, tools, APIs, and data sources.</span> </li><li><span>Strong Python programming skills and expertise in at least one of the following:</span> <ul> <li><span>TypeScript / JavaScript</span> </li><li><span>Java</span> </li><li><span>C#</span> </li></ul> </li><li><span>Strong understanding of modern engineering practices, including asynchronous programming, FastAPI, Pydantic, CI/CD, testing strategies, source control, logging, and error handling.</span> </li><li><span>Experience with at least one agent framework or enterprise AI platform, such as:</span> <ul> <li><span>LangGraph</span> </li><li><span>Semantic Kernel</span> </li><li><span>CrewAI</span> </li><li><span>AutoGen</span> </li><li><span>OpenAI Agents SDK</span> </li><li><span>Microsoft Foundry</span> </li><li><span>Amazon Bedrock AgentCore</span> </li><li><span>Google Vertex AI / Gemini</span> </li></ul> </li><li><span>Experience with vector databases and search platforms such as:</span> <ul> <li><span>Azure AI Search</span> </li><li><span>pgvector</span> </li><li><span>Pinecone</span> </li><li><span>Weaviate</span> </li><li><span>OpenSearch</span> </li></ul> </li><li><span>Experience integrating enterprise systems through APIs, managed identities, middleware, webhooks, messaging queues, and cloud-native architectures.</span> </li><li><span>Practical experience deploying solutions in cloud environments using containers, monitoring, and observability platforms.</span> </li><li><span>Strong judgment regarding trade-offs between quality, latency, reliability, security, governance, and cost.</span> </li></ul> <span>Desirable Experience</span> <ul> <li><span>Experience in aviation, transportation, logistics, supply chain, cargo operations, customer service operations, or other complex operational environments.</span> </li><li><span>Background in classical machine learning, data science, or advanced analytics.</span> </li><li><span>Experience across full-stack software development, including front-end, API, and back-end engineering.</span> </li></ul> <span>Preferred Experience</span> <ul> <li><span>Designing AI agents for enterprise-scale operational workflows.</span> </li><li><span>Voice AI, email automation, CRM integrations, workflow automation, or multilingual AI solutions.</span> </li><li><span>Building evaluation frameworks, golden datasets, simulation-based testing, regression testing, and AI quality measurement systems.</span> </li><li><span>Designing multi-agent architectures, agent registries, and tool orchestration standards.</span> </li><li><span>Leading delivery with external AI platforms, startups, or technology vendors while developing internal engineering teams and capabilities.</span> </li></ul> <span>Education</span> <ul> <li><span>Master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related technical field; or equivalent practical experience.</span> </li><li><span>Relevant certifications in Cloud AI, Generative AI, Agentic AI, MLOps, or related disciplines are advantageous.</span> </li></ul> <br><br> </div>

<p>We are seeking a Principal Avionics & Flight Control Systems Engineer to join an innovative eVTOL aircraft programme based in Dubai. This is a highly technical role focused on designing the aircraft's flight control system architecture and supporting the successful certification of safety critical avionics. Working closely with the Chief Engineer and multidisciplinary engineering teams, you will develop the detailed flight control system, define flight control architectures and produce the certification artefacts required for DO-178C DAL A compliance. This is an excellent opportunity to contribute to the development of a next generation aircraft from concept through certification. Key Responsibilities: • Develop detailed avionics and fly-by-wire flight control system architectures. • Design triple redundant flight control computer architectures, including voting logic, monitoring and cross-channel communications. • Define flight control modes, system states and transition logic for normal and degraded operating conditions. • Produce Interface Control Documents (ICDs) and systems integration documentation. • Develop DO-178C DAL A certification planning artefacts, including PSAC, SDP and SVP. • Collaborate with systems, software, hardware and safety engineering teams. • Support aircraft certification activities and regulatory compliance. • Apply ARP4754A/ARP4754B systems engineering principles throughout the development lifecycle. • Provide technical leadership across avionics and flight control system development.</p><p>We are looking for an experienced avionics and flight control systems engineer with extensive experience developing safety critical aircraft systems for certified aerospace programmes. Essential Requirements • Minimum 12 years' experience in avionics or flight control systems engineering. • Proven experience designing fly-by-wire flight control systems for certified aircraft. • Experience developing triple redundant flight control computer architectures. • Strong knowledge of DO-178C DAL A software certification. • Experience producing certification planning documentation including PSAC, SDP and SVP. • Experience authoring Interface Control Documents (ICDs). • Strong understanding of systems engineering and multidisciplinary integration. • Excellent technical communication and stakeholder management skills. Preferred Qualifications: • Experience applying ARP4754A or ARP4754B. • Experience with eVTOL, rotorcraft or advanced aircraft programmes. • Experience with over actuated flight control systems. • Bachelor's or Master's degree in Aerospace Engineering, Avionics, Systems Engineering or a related discipline.</p>

<p>We are seeking a Principal Avionics & Flight Control Systems Engineer to join an innovative eVTOL aircraft programme based in Dubai. This is a highly technical role focused on designing the aircraft's flight control system architecture and supporting the successful certification of safety critical avionics. Working closely with the Chief Engineer and multidisciplinary engineering teams, you will develop the detailed flight control system, define flight control architectures and produce the certification artefacts required for DO-178C DAL A compliance. This is an excellent opportunity to contribute to the development of a next generation aircraft from concept through certification. Key Responsibilities: • Develop detailed avionics and fly-by-wire flight control system architectures. • Design triple redundant flight control computer architectures, including voting logic, monitoring and cross-channel communications. • Define flight control modes, system states and transition logic for normal and degraded operating conditions. • Produce Interface Control Documents (ICDs) and systems integration documentation. • Develop DO-178C DAL A certification planning artefacts, including PSAC, SDP and SVP. • Collaborate with systems, software, hardware and safety engineering teams. • Support aircraft certification activities and regulatory compliance. • Apply ARP4754A/ARP4754B systems engineering principles throughout the development lifecycle. • Provide technical leadership across avionics and flight control system development.</p><p>We are looking for an experienced avionics and flight control systems engineer with extensive experience developing safety critical aircraft systems for certified aerospace programmes. Essential Requirements • Minimum 12 years' experience in avionics or flight control systems engineering. • Proven experience designing fly-by-wire flight control systems for certified aircraft. • Experience developing triple redundant flight control computer architectures. • Strong knowledge of DO-178C DAL A software certification. • Experience producing certification planning documentation including PSAC, SDP and SVP. • Experience authoring Interface Control Documents (ICDs). • Strong understanding of systems engineering and multidisciplinary integration. • Excellent technical communication and stakeholder management skills. Preferred Qualifications: • Experience applying ARP4754A or ARP4754B. • Experience with eVTOL, rotorcraft or advanced aircraft programmes. • Experience with over actuated flight control systems. • Bachelor's or Master's degree in Aerospace Engineering, Avionics, Systems Engineering or a related discipline.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job LEAD DISCIPLINE ENGINEER (FIELD) - TELECOM <p>We are seeking an experienced Lead Telecom Field Engineer to support construction, installation, testing, pre-commissioning, and commissioning activities for telecom systems on a major ADNOC Onshore project. The successful candidate will provide on-site technical support, resolve field engineering issues, ensure compliance with project specifications and ADNOC standards, and coordinate with engineering, construction, QA/QC, commissioning, vendors, and client representatives.</p><br> <p><strong>JOB RESPONSIBILITIES:</strong></p><br> <ul><li>Provide field engineering support for telecom systems during construction, installation, testing, and commissioning.</li><li>Review and resolve site technical queries (TQs), field change requests (FCRs), and non-conformance reports (NCRs).</li><li>Ensure telecom installation activities comply with approved drawings, specifications, project procedures, and ADNOC standards.</li><li>Coordinate with engineering, construction, QA/QC, vendors, commissioning teams, and client representatives to resolve site issues.</li><li>Review telecom layouts, wiring diagrams, cable schedules, loop diagrams, equipment layouts, and installation drawings.</li><li>Supervise installation, termination, testing, and commissioning of telecom systems.</li><li>Support system walkdowns, punch listing, mechanical completion, pre-commissioning, commissioning, and start-up activities.</li><li>Verify field modifications and ensure accurate as-built documentation is prepared.</li><li>Monitor subcontractor activities and provide technical guidance to site engineers and supervisors.</li><li>Attend client meetings and provide technical clarifications on telecom-related issues.</li><li>Ensure compliance with ADNOC HSE requirements and project quality standards.</li><li>Coordinate with vendors during Factory Acceptance Tests (FAT), Site Acceptance Tests (SAT), and system integration activities.</li></ul> <p><strong>KEY QUALIFICATIONS:</strong></p><br> <ul><li>Bachelor's Degree in Electronics Engineering, Telecommunications Engineering, Electrical Engineering, or a related discipline.</li><li>Minimum 12–15 years of Oil &amp; Gas experience.</li><li>Minimum 5 years of experience as a Lead Telecom Field Engineer or Senior Telecom Field Engineer.</li><li>Mandatory experience on ADNOC Onshore EPC projects.</li><li>Strong experience in construction support, field engineering, installation, pre-commissioning, and commissioning of telecom systems.</li><li>Hands-on experience with the installation and commissioning of: Public Address &amp; General Alarm (PA/GA), Telephone Systems, CCTV, Access Control System (ACS), Intrusion Detection System (IDS), Structured Cabling Systems, Fiber Optic Networks, LAN/WAN Networks, Radio Communication Systems (VHF/UHF/TETRA), Microwave Communication Systems, IP Telephony, Network Infrastructure, Time Synchronization Systems</li><li>Strong understanding of telecom drawings, cable routing, equipment installation, and network integration.</li><li>Familiarity with international standards such as IEC, ITU, IEEE, TIA/EIA, NFPA, and ADNOC Engineering Standards.</li><li>Excellent troubleshooting, coordination, leadership, and communication skills.</li><li>Experience working within multidisciplinary EPC project teams.</li><li>Previous experience on ADNOC Brownfield or Greenfield Onshore projects.</li><li>Experience supporting commissioning, system integration, and plant start-up activities.</li><li>Experience coordinating with telecom equipment vendors during installation and commissioning.</li></ul><p>VERTICAL</p><br><p>ENGINEERING</p><br> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description We are seeking a Palantir Foundry &amp; AIP Engineer with hands-on experience across the full Foundry ecosystem and Palantir’s Artificial Intelligence Platform (AIP). This role goes beyond data engineering: you will design, build, and operationalize AI-powered workflows, agents, and applications that drive tangible business outcomes. The ideal candidate is a self-starter, able to translate complex business needs into scalable technical solutions, and confident working directly with stakeholders to maximize the value of Foundry and AIP. Responsibilities · Data &amp; Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry. · AIP &amp; AI Enablement: Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents. Ground agents and logic flows using RAG (retrieval‐augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content. Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology. Collaborate with senior engineers on agent design, instructions, and evaluation using AIP’s native features. · End-to-End Delivery: Work with stakeholders to capture requirements, design solutions, and deliver working applications. · User Engagement: Provide training and support for business teams adopting Foundry and AIP. · Governance &amp; Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI. · Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation. Skills Must have Minimum 10 Years of experience in IT/Data. Minimum 5 years of experience as a Data Platform Engineer/Data Engineer. · 2+ years of professional experience with the Palantir Foundry ecosystem (data integration, ontology, pipelines, applications). · Strong technical skills in Python, PySpark, SQL, and data modelling. · Practical experience using or supporting AIP features such as RAG workflows, copilots, or agent-based applications. · Ability to work independently and engage directly with non-technical business users. · Strong problem-solving mindset and ownership of delivery. Nice to have · Familiarity with AIP Agent Studio concepts (agents, instructions, tools, testing). · Exposure to AIP Evals and evaluation/test-driven approaches. · Experience with integration patterns (APIs, MCP, cloud services). · Consulting or applied AI/ML background. · Experience in Abu Dhabi or the broader MENA region. Other Languages English: C1 Advanced Seniority Senior</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br>Job Description<br><p><strong>We are&nbsp;</strong>currently looking for<strong> &nbsp;AI Solutions Engineer for (Offshore/Onsite) our UAE operations</strong> with the following terms &amp; conditions.</p><br><p><strong>Qualifications:</strong></p><br><p>Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field.</p><br><p><strong>Experience:</strong></p><br><ul><li>Good years of experience in AI, machine learning, and solution architecture, with a proven track record of designing and deploying AI solutions.</li><li>Hands-on experience with AI tools and platforms and cloud services like Microsoft Azure.</li><li>Strong background in machine learning algorithms, deep learning, data processing, and systems integration. Ability to drive architecture governance, code quality, and technical standards.</li><li>Proven experience delivering AI and digital transformation solutions within financial services, banking, fintech, regulatory authorities, or highly regulated environments, with a strong understanding of compliance, governance, risk management, and regulatory requirements.</li></ul><p><strong>Technical Skills:</strong></p><br><ul><li>Proficient in programming languages such as Python, Java, or C++.</li><li>Familiarity with data pipeline tools and frameworks</li><li>Experience with cloud infrastructure, containerization (Docker, Kubernetes), and DevOps practices.</li><li>Solid understanding of data architecture, data science, security, and privacy considerations in AI systems.</li><li>Design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs). Hands-on experience with frameworks like Hugging Face, LangChain, Foundry, OpenAI APIs etc.</li><li>Demonstrated experience in designing, developing, and deploying Agentic AI solutions, including autonomous AI agents, multi-agent systems, AI orchestration frameworks, and agent-based workflow automation using platforms such as Azure AI Foundry, Agentforce, etc</li></ul><p><br> <strong>Soft Skills:</strong></p><br><ul><li>Strong analytical and problem-solving skills.</li><li>Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.</li><li>Leadership experience and the ability to work effectively in cross-functional teams.</li><li>Detail-oriented and focused on delivering high-quality, scalable solutions.</li></ul><p><strong>Data &amp; Integration:</strong></p><br><ul><li>Familiarity with data engineering tools, data lakehouses (Fabric), and ETL pipelines.</li><li>Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.</li></ul><p><strong>Experience:</strong><strong>6 to 8 Years</strong></p><br><p><strong>Preferred Qualifications:</strong></p><br><p>Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision.<br> Knowledge of AI ethics and bias mitigation strategies.</p><br><p><strong>Terms and conditions</strong></p><br><p><strong>Joining time frame:</strong> Immediate</p><br><br>Additional Information<br><p><strong><u>Terms and conditions:</u></strong>&nbsp;</p><br><p><strong>Joining time frame:</strong>&nbsp;&nbsp; <strong>maximum 4 weeks</strong></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Overview:</b> <br><br><br><br><br><p><span><span>Analog is looking for an exceptional Principal Robotics Research Engineer to join our core robotics team. In this role, you will help setting the technical direction for our robotic systems research — spanning perception, state estimation, motion planning, and control — and translate fundamental advances into production-grade capabilities deployed on real hardware. You will act as a force-multiplier for the broader engineering organisation, driving both the science and the systems that bring intelligent robots to life.</span> </span></p><br><br><b>Responsibilities:</b> <br>Research Leadership &amp; Technical Direction<ul><li><p>Identify breakthrough opportunities across the robotics stack and emerging AI paradigms.</p><br><br></li><li><p>Translate research insights into impactful and feasible product roadmap initiatives.</p><br><br></li><li><p>Publish at leading conferences including ICRA, IROS, RSS, and CoRL, while driving patent innovation.</p><br><br></li></ul>Perception &amp; AI<ul><li><p>Architect multi-modal perception systems integrating vision, LiDAR, radar, depth, and acoustic sensing.</p><br><br></li><li><p>Lead research in 3D scene understanding, tracking, segmentation, and open-vocabulary recognition.</p><br><br></li><li><p>Develop foundation models and real-time AI architectures for robotic perception.</p><br><br></li></ul>State Estimation &amp; Sensor Fusion<ul><li><p>Design robust SLAM, visual-inertial odometry, and GPS/GNSS fusion systems.</p><br><br></li><li><p>Advance probabilistic and learning-based sensor fusion for resilient localisation.</p><br><br></li><li><p>Oversee calibration, synchronisation, validation, and benchmarking frameworks.</p><br><br></li></ul>Motion Planning &amp; Control<ul><li><p>Build planning frameworks for dynamic and unstructured environments.</p><br><br></li><li><p>Lead MPC, reinforcement learning, imitation learning, and safety-critical control research.</p><br><br></li><li><p>Drive trajectory optimisation and whole-body robotic motion generation.</p><br><br></li></ul>System Integration &amp; Deployment<ul><li><p>Own end-to-end integration of perception, planning, estimation, and control systems.</p><br><br></li><li><p>Establish engineering standards for latency, determinism, and fault tolerance.</p><br><br></li><li><p>Lead simulation, hardware-in-the-loop testing, and deployment optimisation for onboard compute systems.</p><br><br></li></ul><br><b>Qualifications:</b> <br><p>• PhD in Robotics Computer Science Electrical or Mechanical Engineering or equivalent research experience<br>• 10 plus years of robotics research and engineering across perception estimation planning or control<br>• Strong expertise in C plus plus Python ROS and ROS2 with real time safety critical systems experience<br>• Proven leadership managing high performing engineering or research teams<br>• Experience taking robotics solutions from prototype to field deployment<br>• Strong communication skills across technical product and executive stakeholders<br>• Experience with PyTorch TensorFlow JAX GPU compute and simulation platforms including Isaac Sim Gazebo and MuJoCo</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Summary:<br>BK Gulf LLC is looking to recruit Mechanical Engineer - HVAC who will be responsible for designing, developing, and overseeing the installation of heating, ventilation, and air conditioning systems at our MEP projects.<br>Job Responsibility:<br>- Designing HVAC systems based on project requirements and specifications.<br>- Conducting feasibility studies and site surveys to assess HVAC system requirements.<br>- Selecting and specifying appropriate HVAC equipment and components.<br>- Overseeing the installation, testing, and commissioning of HVAC systems.<br>- Collaborating with project managers, architects, and other stakeholders to ensure project success.<br>- Providing technical support and troubleshooting assistance during and after HVAC system installation.<br>- Ensuring compliance with building codes, regulations, and safety standards.<br>Candidate Requirements:<br>- UAE/MOFA attested Bachelor's degree in Mechanical Engineering is a must.<br>- Proven experience in designing and implementing HVAC systems.<br>- Strong knowledge of HVAC principles, equipment, and components.<br>- Proficiency in CAD software and other relevant engineering tools.<br>- Excellent analytical and problem-solving skills.<br>- Strong communication and teamwork abilities.<br>- Familiarity with building codes and regulations related to HVAC systems.</p><br><br><br><p>Proficiency in HVAC design and analysis<br>2. Strong understanding of mechanical systems and thermodynamics<br>3. Ability to read and interpret blueprints and technical drawings<br>4. Knowledge of HVAC codes, standards, and regulations<br>5. Experience with HVAC software and tools<br>6. Strong problem-solving and analytical skills<br>7. Excellent project management abilities<br>8. Effective communication and teamwork skills<br>9. Attention to detail and accuracy in work<br>10. Ability to prioritize tasks and work efficiently</p><br><br> </div>