civil engineer

planning engineer

project engineer

mep engineer

electrical engineer

ai engineer

Express Communication Services Limited

<p>Job Description</p><p>The candidate should possess the following specializations:</p><ul><li>GenAI Engineer</li><li>AI Engineer</li><li>AI Product Owner</li><li>Machine Learning</li><li>Data Quality Analyst</li><li>Data Scientist</li><li>AI Portfolio &amp; Planning</li><li>Edge AI &amp; Robotics</li><li>AI/ML Operations (MLOps)</li><li>GenAI Tech</li><li>Scrum Master / Project Manager</li></ul><p>Job Type: Full-time</p><p>Pay: AED5,500.00 - AED5,700.00 per month</p>

AI Engineer

ClearVUE.Business

<div>
 <p>
  <strong>
   Hi, we're ClearVUE Dubai
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  ClearVUE Dubai is an environmental and energy consultancy and technology provider. We work with companies across all sectors to define and execute their carbon reduction and energy efficiency strategies on their wider ESG initiatives.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Through comprehensive energy and carbon assessments and strategy building and implementation services, underpinned by industry-leading energy and carbon management technology, we are creating revolutionary solutions for businesses to eradicate their impact on the climate one step at a time.
 </p>
 <p>
  <br/>
 </p>
 <p>
  ClearVUE Dubai is part of Global Procurement Group, a multinational group of companies working in energy procurement and consultancy. Join our global family, with modern and vibrant offices in the UK, France, Malta, and India. Be part of a team leading the way in energy consultancy and helping businesses make informed decisions about their energy consumption.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The opportunity
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Are you an AI engineer with a passion for data, innovation, and driving real-world impact? We&rsquo;re looking for a skilled and motivated AI Engineer to join our data team in Dubai. In this role, you&rsquo;ll work on impactful projects in energy and sustainability, applying advanced machine learning techniques, AI tools, and large language models (LLMs) to solve complex, real-world challenges and help shape the future of intelligent solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What exactly will you do?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Collaborate with our team to analyse and interpret data from diverse sources, including sensors, APIs, and customer platforms.
  </li>
  <li>
   Design, develop, and deploy machine learning models that predict trends, improve efficiency, and generate actionable insights from energy-related data.
  </li>
  <li>
   Build and integrate AI/ML solutions into production environments, ensuring scalability and reliability in real-world applications.
  </li>
  <li>
   Work with modern AI tools such as
   <strong>
    OpenAI, Hugging Face, and LangChain
   </strong>
   , applying
   <strong>
    Retrieval-Augmented Generation (RAG)
   </strong>
   and
   <strong>
    Model Context Protocol (MCP)
   </strong>
   techniques to enhance data relevance, context awareness, and explainability in AI-driven products.
  </li>
  <li>
   Stay current with the latest advancements in AI, data science, and MLOps tools, and bring innovative ideas to the team.
  </li>
  <li>
   Participate in brainstorming sessions, code reviews, and planning meetings; your technical perspective and creativity will help shape our solutions.
  </li>
  <li>
   Contribute to dashboards, reports, and prototypes that translate complex data into clear, actionable insights for clients and internal teams.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we&rsquo;re looking for
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   3 &ndash; 5 years of experience working as an
   <strong>
    AI Engineer
   </strong>
   or similar role.
  </li>
  <li>
   Bachelor&rsquo;s Degree in
   <strong>
    Computer Science, Data Science, Engineering, Maths, Physics
   </strong>
   , or a related field.
  </li>
  <li>
   Hands-on experience with
   <strong>
    Python
   </strong>
   ,
   <strong>
    data analysis
   </strong>
   , or
   <strong>
    machine learning
   </strong>
   .
  </li>
  <li>
   Solid understanding of AI/ML concepts (e.g., building and evaluating models, using Jupyter notebooks, working with LLM APIs).
  </li>
  <li>
   Proficiency in data manipulation using tools such as
   <strong>
    pandas
   </strong>
   ,
   <strong>
    NumPy
   </strong>
   , and
   <strong>
    SQL
   </strong>
   .
  </li>
  <li>
   Experience with
   <strong>
    scikit-learn
   </strong>
   ,
   <strong>
    TensorFlow
   </strong>
   , or
   <strong>
    PyTorch
   </strong>
   , and familiarity with LLM frameworks such as
   <strong>
    OpenAI API
   </strong>
   or
   <strong>
    LangChain
   </strong>
   .
  </li>
  <li>
   Excellent communication skills; you can clearly explain technical concepts to both technical and non-technical audiences
  </li>
  <li>
   A proactive team player with a growth mindset, eager to learn, share knowledge, and contribute to meaningful projects
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to Have (but not expected)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Master&rsquo;s Degree in related field.
  </li>
  <li>
   Experience implementing
   <strong>
    RAG pipelines
   </strong>
   or
   <strong>
    MCP-based integrations
   </strong>
   to connect AI models with live enterprise data sources.
  </li>
  <li>
   Knowledge of time series data or experience working with energy, IoT, or sustainability projects.
  </li>
  <li>
   Familiarity with cloud platforms (AWS, GCP, or Azure) or tools like Git, Docker, or APIs.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Join Us?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is your chance to work with a team building technology that actually matters, not just another app, but a platform helping organisations become more energy efficient and sustainable. We&rsquo;ll support your growth, celebrate your ideas, and push the boundaries of what software can do in today&rsquo;s energy landscape.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What&rsquo;s in it for you?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  💎
  <strong>
   Compensation Package:
  </strong>
  We offer a
  <strong>
   monthly base salary of 16,000 AED
  </strong>
  , plus
  <strong>
   comprehensive medical insurance.
  </strong>
 </p>
 <p>
  🌍
  <strong>
   Purpose-Driven Impact:
  </strong>
  Play a vital role in fighting climate change. Your work will directly contribute to reducing global carbon emissions and improving sustainability for businesses worldwide.
 </p>
 <p>
  🚀
  <strong>
   Ongoing Support and Development:
  </strong>
  Receive ongoing training, mentorship, and guidance from industry experts to help you build skills and develop professionally every step of the way.
 </p>
 <p>
  📈
  <strong>
   Clear Path to Advancement:
  </strong>
  We believe in nurturing our own; promotions from within are our specialty.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   GPG is an equal opportunity employer and applicants will be considered for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
  </em>
 </p>
</div>


Ageless Medical Center

<p>We are seeking an experienced and innovative AI Engineer to design, build, and deploy AI-driven solutions that enhance business operations and patient experience. The ideal candidate will have expertise in machine learning, natural language processing, and automation systems, with hands-on experience in developing and integrating AI models into production environments.</p><p><b>Key Responsibilities</b></p><ul><li>Design, develop, and deploy AI/ML models and algorithms for business applications.</li><li>Build and maintain data pipelines for model training and validation.</li><li>Collaborate with software engineers, data scientists, and business teams to integrate AI capabilities into products and systems.</li><li>Apply deep learning, NLP, and computer vision techniques to solve real-world problems.</li><li>Optimize models for scalability, performance, and efficiency.</li><li>Analyze datasets to identify trends, anomalies, and predictive opportunities.</li><li>Stay updated with emerging AI technologies, frameworks, and best practices.</li><li>Prepare technical documentation and participate in project planning and progress reporting.</li><li>Ensure compliance with data security, governance, and ethical AI standards.</li></ul><p><b>Qualifications</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</li><li>3&ndash;6 years of experience in AI/ML model development, preferably within the UAE or GCC region.</li><li>Strong programming skills in Python and libraries such as TensorFlow, PyTorch, Keras, Scikit-learn.</li><li>Experience with cloud-based AI environments (AWS SageMaker, Google Vertex AI, Azure ML).</li><li>Solid understanding of data preprocessing, model evaluation, and deployment.</li><li>Familiarity with MLOps pipelines and version control tools (Git, Docker).</li><li>Excellent problem-solving, analytical, and teamwork skills.</li></ul><p>Job Type: Full-time</p>

Fuse Energy

<div>
 Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.
 <br/>
 <br/>
 We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.
 <br/>
 <br/>
 But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.
 <br/>
 <br/>
 We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)
  </li>
  <li>
   Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows
  </li>
  <li>
   Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms
  </li>
  <li>
   Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing
  </li>
  <li>
   Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts
  </li>
  <li>
   Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space
  </li>
  <li>
   Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum 3 years of engineering experience
  </li>
  <li>
   Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning
  </li>
  <li>
   Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)
  </li>
  <li>
   Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production
  </li>
  <li>
   Solid understanding of cloud technologies, containerisation and building scalable AI applications
  </li>
  <li>
   Ability to integrate AI/ML models into real-world applications, focusing on usability and performance
  </li>
  <li>
   Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment
  </li>
  <li>
   Experience working with large datasets, particularly in relation to demand and supply forecasting
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience or strong interest in energy markets and trading strategies
  </li>
  <li>
   Understanding of weather forecasting, energy demand patterns, and production modelling
  </li>
  <li>
   Exposure to Natural Language Processing (NLP) or other related fields
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary and an equity sign-on bonus
  </li>
  <li>
   Biannual bonus scheme
  </li>
  <li>
   Fully expensed tech to match your needs
  </li>
  <li>
   Paid annual leave
  </li>
  <li>
   Breakfast and dinner for office based employees
  </li>
 </ul>
</div>


Applied AI Engineer

Enerflex

<div><div><div><div><div><b>Business Unit: </b>Eastern Hemisphere
</div></div></div></div><div><div><div><div><b>Location:
</b>Abu Dhabi, AE
</div></div></div></div><div><div><div><div><b>Travel: </b>Up to 25%
</div></div></div></div><div><div><div><div><b>Req ID: </b>3376
</div></div></div></div><div><div><div><div><p>AI Engineer- Asset Management
</p></div></div></div></div><div><div><div><div><div><div><div><div><b>Summary</b></div>
</div><div><div>
We are seeking experienced and innovative AI Scientists to join our Asset Management team. This role focuses on developing AI-powered applications that enhance operations, optimize maintenance strategies, extend asset life, reduce operating costs, and improve equipment safety. The ideal candidate will be passionate about applying AI technologies&mdash;including LLMs (Large Language Models) and SLMs (Small Language Models)&mdash;to real-world industrial challenges.</div></div></div><div><div><div><b>
Principle Responsibilities and Duties</b></div>
</div><div><ul><li>Design, develop, and deploy AI applications to support:</li>
<ul><li>Predictive and preventive maintenance</li>
<li>Asset life extension strategies</li>
<li>Operational cost reduction</li>
<li>Equipment safety and reliability</li>
</ul><li>Leverage LLMs/SLMs for intelligent automation and decision support</li>
<li>Collaborate with cross-functional teams to identify AI opportunities</li>
<li>Work within Azure cloud environments and integrate with Microsoft Copilot tools</li>
<li>Ensure all work complies with company policies, procedures, and confidentiality standards</li>
<li>Provide structured, timely updates and reports on project progress</li>
<li>Explore and evaluate emerging AI technologies and methodologies</li>
<li>Demonstrate flexibility in adapting to evolving project needs and priorities</li>
</ul></div></div><div><div><div><b>Qualifications</b></div>
</div><div><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, Engineering, or a related field</li>
<li>Minimum of 3 years of experience in AI/ML development, preferably in industrial or asset-intensive environments</li>
<li>Proficiency in programming languages such as Python, R, or similar</li>
<li>Experience working with Azure cloud services and AI tools</li>
<li>Familiarity with Microsoft Copilot and its integration into enterprise workflows</li>
<li>Strong communication skills in English (written and verbal)</li>
<li>Ability to work independently while maintaining alignment with team goals</li>
<li>Willingness to travel internationally as required</li>
<li>Adherence to strict confidentiality and data protection standards</li>
<li>Structured reporting and documentation practices</li>
<li>Collaborative and proactive mindset</li>
<li>Commitment to continuous learning and innovation</li>
<li>
<div><b>Preferred Skills:</b></div>
</li>
<li>Experience with asset management systems or industrial operations in gas compression and gas processing industry</li>
<li>Knowledge of maintenance management frameworks (e.g., RCM, CBM)</li>
<li>Understanding of data governance, security, and compliance in AI applications</li>
<li>Ability to translate business needs into technical solutions</li>
</ul></div></div><div><div><div><b>Physical Requirements</b></div>
</div><div><ul><li>Remote work flexibility with a base in Abu Dhabi</li></ul></div></div></div><br>
<div></div>
<div><b>About Us:</b></div><br>
<div></div><div><b>Transforming Energy for a Sustainable Future.</b> Enerflex is a premier integrated global provider of energy infrastructure solutions, covering gas processing, compression, power generation, refrigeration, cryogenic, energy transition, and water solutions. We proudly employ more than 5,000 highly skilled employees across over 25 countries worldwide.<br>
<br>
Enerflex places its core <b>Values of Integrity, Commitment, Creativity, and Success</b> into action across all aspects of the business. Our innovation, strong commitment to safety, and superior service to our customers positions us as the optimal partner to meet the needs of the dynamic energy industry.<br>
<br>
We foster a culture of ensuring our employees have the tools to do their jobs right, but to also thrive in their roles. We pride ourselves in our competitive wages, extensive rewards programs, celebration of successes of individuals and teams, and are committed to ensuring Enerflex remains a safe and inclusive space for all.</div><br>
<div></div>
<div><b>Enerflex is an Equal Opportunity Employer</b></div>
<div>Enerflex grants equal employment opportunity to all qualified persons without regard to race, color, sex, age, national origin, religion, genetic information, mental or physical disability, or any other characteristic protected by applicable federal, state, or local law. Equal employment opportunities are provided in recruitment, hiring, promotions, wages, benefits, and other terms, conditions, and privileges of employment.</div><br>
<div></div>
<div><b>Disclaimer</b></div>
<div>The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, tasks, duties, knowledge, skills, and abilities required.</div></div></div></div></div></div><p></p>

AI Engineer- Asset Management

Make Fortune Business Solutions

<p><b>Company:</b> Real Law AI (UAE LegalTech, 500+ users)<br/><b>Location:</b> Dubai (hybrid) or Remote in UAE<br/><b>Type:</b> Full-time (MoHRE-skilled role)<br/><b>Eligibility:</b> <b>Emirati candidates only.</b> NAFIS-registered welcome.</p><p><b>About Us</b></p><p>Real Law AI is a legal tech startup in the UAE. Founded in 2024, we already have 500+ paying users.</p><p><b>Role</b></p><p>Build and improve our legal AI-platform:</p><ul><li>Develop <b>RAG</b> chatbot and optimize pipelines</li><li>Implement <b>semantic search</b> (e.g., Elasticsearch)</li><li>Work with <b>LLMs</b> (prompting/fine-tuning)</li><li>Build <b>data pipelines</b> and product integrations</li><li>Ship reliable, secure services to production</li></ul><p>Requirements</p><ul><li><b>UAE National (Emirati)</b></li><li>Strong <b>Python</b>; experience with <b>PyTorch/Hugging Face/LangChain</b></li><li>Hands-on <b>RAG</b> + vector DBs (Pinecone/Milvus/Weaviate)</li><li><b>Elasticsearch</b> or similar search tech</li><li>Solid NLP basics (transformers, embeddings, NER)</li><li>Cloud familiarity (e.g., AWS S3)</li><li>BSc/MSc in CS/AI/Data (or equivalent)</li></ul><p>Benefits</p><ul><li>Competitive salary</li><li>Flexible: hybrid or remote (UAE)</li><li>Supportive, fast-moving team; real product impact</li></ul><p>Job Types: Full-time, Temporary, Contract</p><p>Pay: Up to AED7,000.00 per month</p><p>Application Question(s):</p><ul><li>Are you Emirati citizen?</li></ul>

AI Engineer - UAE Nationals Only (Emiratisation)

DataRobot

<p><strong>Key Responsibilities:</strong></p><ul><li><p>Partner with Customers: Collaborate closely with customer stakeholders to understand their business goals, identify high-impact use cases, and define technical requirements for AI solutions.</p></li><li><p>Build &amp; Deploy AI Solutions: Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools. This includes:</p></li><li><p>Agentic AI:  Developing and deploying agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index</p></li><li><p>Generative AI: Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems.</p></li><li><p>Predictive AI: Developing and deploying classic machine learning models for use cases like forecasting, churn prediction, and fraud detection.</p></li><li><p>Serve as a Technical Expert: Act as a subject matter expert on the DataRobot platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives.</p></li><li><p>Deliver Value: Ensure that the solutions you build are robust, scalable, and directly contribute to the customer's business objectives.</p></li><li><p>Communicate &amp; Collaborate: Clearly communicate complex technical concepts and project outcomes to both technical and non-technical audiences, from data scientists to C-level executives.</p></li></ul><p><strong>Knowledge, Skills and Abilities:</strong></p><p><strong>AI &amp; Machine Learning Expertise:</strong></p><ul><li><p>Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.).</p></li><li><p>Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases,</p></li><li><p>Solid understanding of the end-to-end agentic AI lifecycle from building agents in  frameworks like LangGraph or CrewAI, to at scale deployment and monitoring.</p></li></ul><p><strong>Application Development &amp; Operations:</strong></p><ul><li><p>Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, FastAPI) to serve ML models and GenAI logic.</p></li><li><p>Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s).</p></li><li><p>Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints.</p></li><li><p>Customer Focus: Experience in a client-facing or consulting role with exceptional verbal and written communication skills. You must be comfortable leading technical discussions and presenting to diverse audiences.</p></li><li><p>Problem-Solving Mindset: A deep curiosity and a passion for solving complex, unstructured problems.</p></li></ul>

Senior AI Engineer - Professional Services - UAE

Explore 1786+ Ai engineer in Uae this November. Find roles across top companies and apply now to boost your career.

1786 ai engineer jobs IN Uae

AI Engineer

AI Engineer

AI Engineer

Applied AI Engineer

AI Engineer- Asset Management

AI Engineer - UAE Nationals Only (Emiratisation)

Senior AI Engineer - Professional Services - UAE