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ClearVUE.Business

<div>
 
 
 Hi, we're ClearVUE Dubai
 
 
 
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 
 The opportunity
 
 
 
 
 
 
 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.
 
 
 
 
 
 
 What exactly will you do?
 
 
 
 
 
 <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
 
 OpenAI, Hugging Face, and LangChain
 
 , applying
 
 Retrieval-Augmented Generation (RAG)
 
 and
 
 Model Context Protocol (MCP)
 
 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>
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 
 
 
 <ul>
 <li>
 3 &ndash; 5 years of experience working as an
 
 AI Engineer
 
 or similar role.
 </li>
 <li>
 Bachelor&rsquo;s Degree in
 
 Computer Science, Data Science, Engineering, Maths, Physics
 
 , or a related field.
 </li>
 <li>
 Hands-on experience with
 
 Python
 
 ,
 
 data analysis
 
 , or
 
 machine learning
 
 .
 </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
 
 pandas
 
 ,
 
 NumPy
 
 , and
 
 SQL
 
 .
 </li>
 <li>
 Experience with
 
 scikit-learn
 
 ,
 
 TensorFlow
 
 , or
 
 PyTorch
 
 , and familiarity with LLM frameworks such as
 
 OpenAI API
 
 or
 
 LangChain
 
 .
 </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>
 
 
 
 
 
 Nice to Have (but not expected)
 
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s Degree in related field.
 </li>
 <li>
 Experience implementing
 
 RAG pipelines
 
 or
 
 MCP-based integrations
 
 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>
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 
 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.
 
 
 
 
 
 
 What&rsquo;s in it for you?
 
 
 
 
 
 
 💎
 
 Compensation Package:
 
 We offer a
 
 monthly base salary of 16,000 AED
 
 , plus
 
 comprehensive medical insurance.
 
 
 
 🌍
 
 Purpose-Driven Impact:
 
 Play a vital role in fighting climate change. Your work will directly contribute to reducing global carbon emissions and improving sustainability for businesses worldwide.
 
 
 🚀
 
 Ongoing Support and Development:
 
 Receive ongoing training, mentorship, and guidance from industry experts to help you build skills and develop professionally every step of the way.
 
 
 📈
 
 Clear Path to Advancement:
 
 We believe in nurturing our own; promotions from within are our specialty.
 
 
 
 
 
 
 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.
 
 
</div>

AI Engineer

OneBullEx

<div>OneBullEx is a crypto futures exchange startup built for speed, reliability, and innovation. Our platform delivers real-time trading performance&mdash;even under extreme market volatility&mdash;powered by advanced automation and AI-driven tools, including our 300 SPARTANS trading bots. With cutting-edge machine learning, a user-first design, and transparent risk management, we are on a mission to redefine how traders navigate the fast-moving world of digital assets.

Job Overview

We are seeking a Senior AI Engineer, Quantitative Strategies to help pioneer a next-generation, self-evolving AI pipeline for trading strategy creation. This role goes beyond traditional engineering&mdash;you will architect an autonomous system that can generate, test, and refine its own strategies using the latest in large language models (LLMs) such as Gemini, ChatGPT, and Claude. If you are excited by the idea of making AI a true creative partner in quantitative trading, this is your chance to help shape the future of the industry.

Key Responsibilities
<ul>
<li>Architect from the ground up an autonomous strategy generation and evaluation pipeline, making key technical decisions that will define its future</li>
<li>Integrate and fine-tune cutting-edge LLMs to generate novel, testable trading hypotheses</li>
<li>Build closed-loop feedback systems to automate backtesting, analyse performance, and iteratively improve AI-generated strategies</li>
<li>Act as a bridge between quantitative research and AI engineering, working closely with traders and analysts to translate market insights into machine-executable strategies</li>
<li>Ensure scalability, performance, and robustness of all deployed systems</li>
</ul>
Candidate Requirements
<ul>
<li>Advanced degree (Master's or Ph.D.) in Financial Engineering, Computer Science, Industrial Engineering, or a related quantitative field</li>
<li>3+ years of hands-on experience in quantitative or software engineering roles, ideally within trading, fintech, or financial markets</li>
<li>Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and experience with ML frameworks (PyTorch, TensorFlow, or JAX)</li>
<li>Solid knowledge of deep learning, reinforcement learning, and optimisation techniques</li>
<li>Experience with LLM APIs, prompt engineering, and preferably fine-tuning</li>
<li>Strong software engineering fundamentals, including Git, testing, and deployment workflows</li>
<li>Deep understanding of financial markets, statistical analysis, and strategy development principles</li>
</ul>
 Preferred Qualifications
<ul>
<li>Proven track record of developing and executing trading strategies in live markets</li>
<li>Recognition in quantitative competitions (e.g., Kaggle, Quantopian)</li>
<li>GitHub or portfolio demonstrating complex, data-driven projects</li>
<li>Experience with reinforcement learning or other adaptive systems</li>
<li>A strong intellectual curiosity and drive to push technological boundaries</li>
</ul>
Why Join OneBullEx?
<ul>
<li>Early Impact &ndash; Be part of the founding team shaping a revolutionary AI-driven trading ecosystem</li>
<li>Innovation at Scale &ndash; Work with cutting-edge AI, LLMs, and financial technology in a high-growth startup</li>
<li>Global Ambition &ndash; Contribute to a platform with plans for rapid international expansion</li>
<li>Competitive Package &ndash; Attractive salary, performance-based incentives, and relocation support to Dubai</li></ul></div>

Senior AI Engineer, Quantitative Strategies

Fortes Education

Job
 Description: AI Engineer – Open Source LLMs & AI Integration
 
We are looking for a hands-on AI Engineer with deep expertise in open-source,
 open-weight large language models (LLMs) and end-to-end software
 integration. This role is ideal for someone excited to build
 production-ready AI systems across education, fintech, and business
 automation.
 
As part of our innovation-driven team, you’ll work on projects ranging from:
 <ul>
<li>Building personal AI tutors for students and teachers in schools</li>
<li>Designing AI-powered payments & fintech platforms</li>
<li>Automating workflows for brick-and-mortar businesses (AI agents</li>
</ul>
handling outbound lead nurturing calls, follow-ups, and sales closure)
 
Key Responsibilities
 <ul>
<li>Fine-tune and optimize open-source/open-weight models (LLaMA,</li>
</ul>
Mistral, Falcon, etc.) for real-world use cases
 <ul>
<li>Integrate models with applications, APIs, and databases to deliver</li>
</ul>
scalable AI solutions
 <ul>
<li>Develop and deploy AI agents for tasks such as tutoring, lead</li>
</ul>
nurturing, and workflow automation
 <ul>
<li>Work with retrieval-augmented generation (RAG) pipelines, vector</li>
</ul>
databases, and orchestration frameworks (LangChain, LlamaIndex)
 <ul>
<li>Collaborate with cross-functional teams to design production-ready AI</li>
</ul>
workflows
 <ul>
<li>Stay ahead of new advancements in AI/ML, generative AI, and agent</li>
</ul>
frameworks
 
Core Technical Skills
 <ul>
<li>LLM Fine-Tuning & Optimization: Hugging Face, PyTorch,</li>
</ul>
TensorFlow, LoRA, PEFT
 <ul>
<li>AI Agent Frameworks: LangChain, LlamaIndex, AutoGen, SmolAgents</li>
<li>Vector Databases: Pinecone, Weaviate, FAISS, ChromaDB</li>
<li>Programming: Python (expert), JavaScript/TypeScript (bonus)</li>
<li>DevOps & Cloud: Microsoft Azure, Docker, Kubernetes, CI/CD, Git</li>
<li>Workflow Automation: API integration, microservices, REST/GraphQL</li>
<li>Databases: PostgreSQL, NoSQL, Redis</li>
</ul>
Ideal Candidate
 <ul>
<li>Proven experience training/fine-tuning LLMs and deploying them in</li>
</ul>
production
 <ul>
<li>Strong background in software engineering (microservices, APIs, web</li>
</ul>
integrations)
 <ul>
<li>Familiarity with AI for education, fintech, or workflow automation</li>
<li>Entrepreneurial mindset with the ability to take projects from concept</li>
</ul>
to deployment
 <ul>
<li>Excited to experiment, innovate, and push the boundaries of applied AI</li>
</ul>
Location & Opportunity
 <ul>
<li>Based in Dubai, with projects spanning global education, fintech, and</li>
</ul>
enterprise automation
 <ul>
<li>Be part of a fast-moving, innovative team shaping the future of</li>
</ul>
AI-driven businesses
 
If you’re passionate about building real-world
 AI systems that make an impact — from classrooms to financial platforms to
 local businesses — we’d love to hear from you.
 
Apply now and let’s build the future of AI together.
 
Interested candidates can apply on our website: 
http://www.fortes.co/Careers

AI Engineer – Open Source LLMs & AI Integration

DataRobot

Key Responsibilities:<ul><li>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.</li><li>Build &amp; Deploy AI Solutions: Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools. This includes:</li><li>Agentic AI: Developing and deploying agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index</li><li>Generative AI: Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems.</li><li>Predictive AI: Developing and deploying classic machine learning models for use cases like forecasting, churn prediction, and fraud detection.</li><li>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.</li><li>Deliver Value: Ensure that the solutions you build are robust, scalable, and directly contribute to the customer's business objectives.</li><li>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.</li></ul>Knowledge, Skills and Abilities:AI &amp; Machine Learning Expertise:<ul><li>Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.).</li><li>Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases,</li><li>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.</li></ul>Application Development &amp; Operations:<ul><li>Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, FastAPI) to serve ML models and GenAI logic.</li><li>Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s).</li><li>Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints.</li><li>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.</li><li>Problem-Solving Mindset: A deep curiosity and a passion for solving complex, unstructured problems.</li></ul>

Senior AI Engineer - Professional Services - UAE

Rapyd

<div>
 
 
 Description
 
 
 
 Rapyd has unified payments, payouts and fintech on one worldwide platform, and we&rsquo;re assembling the world&rsquo;s best team to liberate global commerce. With offices in Tel Aviv, Amsterdam, Singapore, Iceland, London, Dubai, Hong Kong, and the U.S., the opportunities at Rapyd are limitless.
 
 
 We believe in straight talk, quick decisions, strong execution and elegant solutions. Rapyd is where hard work pays off and careers take off. Join us and let&rsquo;s build the future of fintech together.
 
 
 We&rsquo;re looking for a builder with a backend backbone&mdash;someone who can spot an opportunity, sketch a solution, and ship a working service fast. You&rsquo;ll turn AI ideas into production-grade APIs and microservices, then iterate based on real data and feedback.
 
 
 You&rsquo;ll work at the edge of what&rsquo;s possible with LLMs, RAG pipelines, and vector-based retrieval. The mission: wire up smart systems that automate workflows, elevate productivity, and make AI feel less like magic and more like reliable infrastructure.
 
 
 Get the tools to grow globally at
 
 www.rapyd.net
 
 . Follow:
 
 Blog
 
 ,
 
 Insta
 
 ,
 
 LinkedIn
 
 ,
 
 Twitter
 
 
 
 
 
 
 
 In this role, you will:
 
 
 <ul>
 <li>
 Design, build, and scale backend services and RESTful APIs to power AI-driven features.
 </li>
 <li>
 Develop and iterate on LLM-based applications, including context-aware pipelines (e.g. with vector-store retrieval).
 </li>
 <li>
 Own the full lifecycle: prototyping, evaluation, deployment, monitoring, and continuous iteration.
 </li>
 <li>
 Define KPIs, run experiments, and optimize systems based on metrics and data.
 </li>
 <li>
 Collaborate across product, data, and engineering to translate ideas into robust, shippable systems.
 </li>
 <li>
 Stay current with the evolving LLM/agent ecosystem and rapidly apply new tools or protocols (e.g., MCP).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 What you'll need (core requirements):
 
 <ul>
 <li>
 5+ years of professional software development experience with a strong backend focus.
 </li>
 <li>
 Experience with advanced LLM workflows: prompt engineering, inference optimization, fine-tuning, and evaluation.
 </li>
 <li>
 Demonstrated experience integrating generative models with external knowledge (via RAG or similar patterns).
 </li>
 <li>
 Practical knowledge of embeddings and vector databases (e.g. FAISS, Pinecone).
 </li>
 <li>
 Experience building and scaling data pipelines for LLM ingestion and retrieval.
 </li>
 <li>
 Strong communication skills, bias for action, and ability to thrive in fast-paced environments.
 </li>
 </ul>
 
 Bonus / preferred qualifications:
 
 <ul>
 <li>
 Previous work with agent frameworks or context protocols.
 </li>
 <li>
 Experience with Agile practices and a habit of staying on top of AI research and tooling.
 </li>
 <li>
 Hands-on experience designing and building microservices architectures.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 Job Candidate Privacy Policy &ndash;
 
 https://www.rapyd.net/candidate-privacy-policy
 
 
</div>

AI Software Engineer

Dautom

<div>
 
 Hiring for AI Infrastructure Engineer in Dubai for Semi Govt Client
 
 
 Years : 6 Years
 
 
 Location : Dubai ( Looking for UAE Based candidates )
 
 
 Reports To: Head of Infrastructure / AI Platform Lead
 
 
 
 
 
 Job Summary :
 
 
 Design, build, and operate scalable GPU-based AI infrastructure to support LLMs, GenAI, computer vision, and ML workloads. Manage GPU clusters, deploy OpenShift AI, and ensure high-performance, secure AI platforms across hybrid cloud environments.
 
 
 
 
 
 Key Responsibilities:
 
 
 Deploy and maintain Red Hat OpenShift AI (RHODS) for multi-tenant AI environments.
 
 
 Host and scale #LLM frameworks (Llama, Falcon, Mistral, etc.) and vector databases.
 
 
 Build MLOps pipelines for model training, deployment, and monitoring using Terraform/Ansible.
 
 
 Implement hybrid AI solutions across Sovereign Cloud, Azure AI, and Oracle Cloud.
 
 
 Mandatory Skills &amp; Experience:
 
 
 7+ years in #cloudinfrastructure, DevOps, or AI/ML platform engineering.
 
 
 Hands-on experience with #NVIDIA#GPU clusters (CUDA, DNN, GPU operators, NCCL).
 
 
 Strong experience with OpenShift AI (RHODS)
 
 
 
 
 
 Key Deliverables:
 
 
 Production-ready #GPUclusters and #OpenShift #AIplatform.
 
 
 Scalable #LLM serving environment with #MLOps automation.
 
 
 Fully documented, secure, and compliant #AIinfrastructure.
 
 
 
 
 
 Share your word cv to Hema Javvadi with your CTC and Notice details : hema.j@dautom.com
 
</div>

AI Infrastructure Engineer

Explore 1210+ Ai engineer in Training Jobs In Dubai this December. Find roles across top companies and apply now to boost your career.

1210 ai engineer jobs IN Training Jobs In Dubai

AI Engineer

Senior AI Engineer, Quantitative Strategies

AI Engineer – Open Source LLMs & AI Integration

Senior AI Engineer - Professional Services - UAE

AI Software Engineer

AI Infrastructure Engineer

AI Software Engineer