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ai engineer

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. 
 
We&rsquo;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. 
 
But we&rsquo;re not stopping there. We&rsquo;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. 
 
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.<h3 class="jobSectionHeader"> 
 
Responsibilities</h3><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>
Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively 
<li>
</li></ul>Requirements<ul><li>
Minimum 3 years of engineering experience</li></ul><ul>
<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</li>
</ul>Bonus<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</li>
</ul>Benefits<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

AEG Power Solutions

<div>
 
 
 The company
 
 
 
 
 
 
 
 
 
 AEG Power Solutions is a worldwide leader in power supply and power conversion technologies for industrial and renewables applications. We design and provide our solutions to blue chip customers on large projects for power generation, infrastructures, nuclear, renewable energy and oil &amp; gas processes. Our 700 employees operate in 14 countries with a strong European and Asian footprint.
 
 
 
 
 
 Our company is considering fantastic opportunities to grow both organically and through acquisitions in our traditional sectors but also in adjacent technologies. We are specifically targeting the energy storage and green hydrogen applications with our truly unique capabilities.
 
 
 
 
 
 
 
 
 
 The position
 
 
 
 
 
 
 
 
 
 In this role, you will play a key part in shaping and deploying intelligent solutions that optimize our energy management systems, streamline commercial processes, and contribute to our long-term AI strategy. If you are passionate about cutting-edge technologies, thrive in collaborative environments, and want to make a tangible impact on the future of sustainable power solutions, this could be your opportunity.
 
 
 
 
 
 
 
 
 
 Main responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Develop, train, and deploy AI models to optimize our energy management systems.
 </li>
 <li>
 Collaborate with R&amp;D, Software, and Data teams to design innovative solutions.
 </li>
 <li>
 Build and maintain robust, scalable MLOps pipelines.
 </li>
 <li>
 Develop and automate our CPQ (Configure, Price, Quote) tools, technical documentation, and service offers to streamline and accelerate commercial processes.
 </li>
 <li>
 Contribute to AI research, technology scouting, and AEG Power Solutions&rsquo; AI strategy.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications and Requirements
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Engineering degree (or equivalent) in AI, Data Science, or Computer Science.
 </li>
 <li>
 Proficiency with leading AI frameworks (TensorFlow, PyTorch, scikit-learn).
 </li>
 <li>
 Experience in Python development and deploying models into production environments.
 </li>
 <li>
 Strong collaboration skills, a passion for innovation, and a drive to tackle technical challenges.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What We Offer
 
 
 
 
 
 
 
 
 
 A career in AEG Power Solutions is not just a job. We are a technology-driven organization that offers great opportunity to develop and make a positive impact on the world. Discover more here: https://www.aegps.com/en/company/careers/.
 
</div>

AI Engineer

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 Lab49
 
 is an NYC-based award-winning global specialist consultancy that creates bespoke technology.
 
 
 
 Lab49
 
 is hiring a Lead AI Engineer for an exciting opportunity in one of the worlds most dynamic business hubs. This is a chance to join a pioneering team that is setting new benchmarks in the use of agentic AI, prompt-driven UIs, and LLM-powered services for a high-impact B2C client in Dubai.
 
 
 
 Job Summary
 
 
 
 As a Lead AI Engineer, you will play a pivotal role in the design and implementation of a complex, agentic AI&ndash;based solution for a major B2C company in Dubai, a market leader in its sector.
 
 
 The platform will deliver omni-channel, prompt-driven AI services, leveraging LLMs, agentic orchestration, retrieval-augmented generation (RAG), and tight integration with the client&rsquo;s existing digital and enterprise systems.
 
 
 You will lead architectural decisions, guide development standards, and help shape the next-generation customer experience powered by intelligent, modular agents.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Solution Design:
 </li>
 <li>
 Drive the architecture and solution design for the AI platform, ensuring it meets business, performance, and scalability requirements
 </li>
 <li>
 Design patterns for prompt-driven UI generation, long-term memory usage, and multi-agent collaboration
 </li>
 <li>
 Select appropriate frameworks and orchestrators (e.g., LangChain, LangGraph, CrewAI, Agno) based on project needs
 </li>
 <li>
 Application Development:
 </li>
 <li>
 Build and maintain production-grade agentic AI services in Python
 </li>
 <li>
 Own integration patterns between schema-rendered UI, prompt handling, and inference pipelines
 </li>
 <li>
 Implement APIs and backend components to interface with LLMs, memory stores, external tools, and enterprise systems
 </li>
 <li>
 Develop and integrate RAG pipelines, vector stores, and structured output parsing
 </li>
 <li>
 Contribute to re-usable libraries and accelerators
 </li>
 <li>
 Write clean, testable code and ensure robust CI/CD and deployment pipelines are in place
 </li>
 <li>
 Technical Leadership:
 </li>
 <li>
 Provide technical guidance to junior and mid-level developers
 </li>
 <li>
 Conduct code reviews and maintaining high standards of software quality
 </li>
 <li>
 Collaborate closely with product managers, front-end developers, and Lab49&rsquo;s and Client&rsquo;s architecture and QA teams
 </li>
 <li>
 Stay current with the rapidly evolving LLM landscape and proactively suggest innovations
 
 
 </li>
 </ul>
 
 Experience And Skills
 
 
 
 <ul>
 <li>
 Required experience and skills:
 </li>
 <li>
 Bachelors degree in Computer Science, Information Technology, or a related field. Master&rsquo;s degree is preferred
 </li>
 <li>
 5 to 10 years of hands-on software engineering experience
 </li>
 <li>
 Strong expertise in Python and modern backend development practices
 </li>
 <li>
 At least 2 years implementing LLM and Agentic AI solutions
 </li>
 <li>
 Proven delivery of production-grade conversational AI platforms or prompt-native experiences (e.g., chatbots, voice assistants, agentic workflows)
 </li>
 <li>
 Solid understanding of cloud-native AI services, preferably on AWS
 </li>
 <li>
 Experience working in an agile, product-oriented delivery environment
 </li>
 <li>
 Desired experience and skills:
 </li>
 <li>
 Experience with RAG architectures, information extraction, and vector databases is desirable
 </li>
 <li>
 Experience with Agno is a strong plus.
 </li>
 <li>
 Details of the hybrid model: the team normally meets for 2 days a week in the office, client work may require more presence on the client premises, especially during the integration, testing and release phases of a project
 
 
 </li>
 </ul>
 Job Details
 
 
 Role Level: Mid-Level Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://on.iongroup.com/3QN0vLD Job Function: Information Technology (IT) Company Industry/
 
 
 Sector: Software Development
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
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</div>

Lead AI Engineer UAE

Deeplight

<div>About DeepLight AI: DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries. Our team combines deep expertise in AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
Role Overview: We are looking for a Senior AI/ML Engineer to design, develop and implement machine learning models and AI-powered solutions for our enterprise clients. The successful candidate will work on complex data processing pipelines, model development, and performance optimisation across various business domains.
Key Responsibilities:<ul>
<li>Design and implement AI/ML models to solve complex business problems</li>
<li>Develop data processing pipelines for model training and deployment</li>
<li>Implement algorithm optimizations for performance improvement</li>
<li>Create prediction engines and pattern recognition systems</li>
<li>Tune models based on performance metrics and feedback</li>
<li>Test AI models for accuracy, bias, and robustness</li>
<li>Implement AI monitoring and logging mechanisms</li>
<li>Collaborate with data engineers and full-stack developers to integrate AI solutions</li>
<li>Provide technical expertise on AI/ML best practices and methodologies</li>
</ul>Requirements<ul>
<li>8+ years of experience in machine learning and AI development</li>
<li>Strong proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch, scikit-learn)</li>
<li>Experience with NLP, computer vision, or predictive analytics</li>
<li>Knowledge of data processing and feature engineering techniques</li>
<li>Experience with model deployment and production ML pipelines</li>
<li>Understanding of cloud platforms (AWS, Azure, or GCP)</li>
<li>Strong problem-solving skills and attention to detail</li>
<li>Experience with financial data or enterprise solutions a plus</li>
</ul>Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>International exposure and travel opportunities</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</div>

AI / ML Engineer

CloudJune Technologies LLC

Senior AI/ML EngineerAs a Senior AI/ML Engineer at AI Factory, you will be a key leader in the entire lifecycle of our strategic AI/ML initiatives, from visionary ideation and rigorous experimentation to secure deployment and impactful scaling across entities. You will be instrumental in architecting and implementing sophisticated AI models, spanning both robust traditional methodologies and cutting-edge generative techniques, strategically leveraging the best of open-source and proprietary technologies. You will collaborate closely with government Business Subject Matter Experts (SMEs), visionary AI product designers, a talented team of Data Scientists and Engineers, and innovative Software Engineers to build robust, scalable, secure, and impactful AI-powered products that directly benefit the citizens, residents and visitors of Abu Dhabi.What You'll Do:&#9679; Design, development, and deployment of advanced AI models and end-to-end pipelines for a diverse portfolio of government applications, encompassing both traditional ML (e.g., classification, regression, time series forecasting, recommendation engines) and state-of-the-art Generative AI (e.g., large language models, photorealistic diffusion models, generative adversarial networks).&#9679; Masterfully work with complex and sensitive government datasets, strategic data preprocessing, insightful feature engineering, and rigorous analysis to prepare data for optimal model training, precise fine-tuning, model calibration and comprehensive evaluation.&#9679; Expertly utilize and potentially contribute to leading open-source AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, and a range of specialized ML/GenAI tools.&#9679; Architect and maintain robust and highly scalable AI pipelines leveraging open-source orchestration, deployment, and monitoring tools (e.g., Kubeflow, MLflow, Airflow, Langchain, LlamaIndex, n8n, MCP), ensuring security and compliance with government standards.&#9679; Proactively experiment with and strategically implement cutting-edge techniques in both traditional and Generative AI, continuously staying at the forefront of the latest research, advancements, and ethical considerations within the field.&#9679; Drive effective collaboration with diverse cross-functional teams, including government Business SMEs, fellow Data Scientists, experienced Data Engineers, innovative Software Engineers, user-centric Experience Designers, intuitive UI/UX Developers, and visionary Product Managers, to clearly define critical problem statements, co-develop impactful AI solutions, and seamlessly integrate AI/ML models into existing government technology ecosystems to significantly enhance business processes and user experiences.&#9679; Contribute significantly to the evolution of our internal AI/ML infrastructure and champion best practices, rigorously promoting code quality, ensuring reproducibility of results, and establishing efficient and secure workflows aligned with government regulations.&#9679; Critically evaluate model performance using appropriate government-centric metrics and proactively implement robust AI safeguard strategies to ensure ethical, transparent, and reliable AI solutions, driving continuous improvement and optimization.&#9679; Thoroughly document methodologies, well-commented code, and clearly articulated results for both technical and non-technical stakeholders within the government.&#9679; Expertly troubleshoot and effectively resolve complex issues related to AI/ML models and critical pipelines in live government production environments, ensuring minimal disruption to essential services.What You'll Bring:&#9679; Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a closely related quantitative field with a strong analytical foundation.&#9679; A minimum of 3 years of demonstrable and impactful hands-on experience in the end-to-end lifecycle of developing and deploying robust machine learning models or GenAI solutions in a demanding production environment.&#9679; Deep theoretical understanding and significant practical experience in a broad spectrum of traditional machine learning algorithms and techniques, with a proven ability to apply them effectively to real-world problems.&#9679; Strong demonstrated experience with the intricacies of generative AI models and techniques, including practical application of large language models (LLMs), diffusion models, and generative adversarial networks (GANs).&#9679; Exceptional proficiency in core programming languages essential for AI/ML, particularly Python, with a focus on writing clean, efficient, and well-documented code.&#9679; Extensive practical experience with key open-source AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers) and a strong understanding of their underlying principles.&#9679; Proven experience in building and deploying resilient AI pipelines utilizing open-source orchestration, deployment, and monitoring tools (e.g., Kubeflow, MLflow, Airflow, Langchain, LlamaIndex, n8n, MCP, Docker, Kubernetes), with a focus on security and scalability.&#9679; Solid understanding of data engineering principles and substantial experience working with large, complex, and potentially sensitive government datasets and secure cloud-based data platforms (e.g., Azure).&#9679; Proven experience working with a variety of database systems including relational databases (e.g., PostgreSQL, MySQL), vector databases (e.g., Milvus, Pinecone, ChromaDB) and graph databases (e.g., Neo4j, ArangoDB) for modeling and querying complex relationships between entities.&#9679; Exceptional problem-solving and strong analytical skills with a proven ability to effectively translate complex government business requirements into robust and scalable technical AI solutions.&#9679; Outstanding communication and strong collaboration skills, with the ability to clearly and concisely explain complex technical AI concepts and findings to both highly technical and non-technical stakeholders across various government entities.&#9679; A proactive, highly self-driven, and results-oriented attitude with a genuine passion for continuous learning and staying at the absolute forefront of the latest advancements and ethical considerations in the dynamic field of AI/ML.Bonus Points For:&#9679; Proven experience implementing and leveraging AIOps practices and tools within a production environment.&#9679; Specific familiarity with the unique challenges and opportunities within the government sector or relevant industry domains within Abu Dhabi.&#9679; Hands-on experience with distributed training and efficient inference techniques for large-scale AI models.&#9679; Contributions to the open-source AI/ML community or publications in relevant AI/ML conferences or journals.Job Type: Full-timePay: From AED20,000.00 per monthAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>Python, TensorFlow, PyTorch, and cloud platforms: 5 years (Required)</li><li>AI ethics, data privacy, and MLOps: 3 years (Required)</li><li>AI/ML development : 5 years (Required)</li></ul>License/Certification:<ul><li>Emirates ID (Required)</li></ul>

Senior AI/ML Engineer

Explore 1396+ Ai engineer in United Arab Emirates this October. Find roles across top companies and apply now to boost your career.

1396 ai engineer jobs IN United Arab Emirates

Applied AI Engineer

AI Engineer

Lead AI Engineer UAE

Lead AI Engineer UAE

AI / ML Engineer

AI / ML Engineer

Senior AI/ML Engineer