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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

Transguard Workforce Solutions

<div>
 
 
 Transguard Workforce Solutions
 
 is the UAE&rsquo;s leading provider of unique and innovative HR solutions. With a decade of experience in the region and a team that possesses extensive knowledge of the market, we provide a fully integrated HR solution.
 
 
 We are currently recruiting a
 
 AI Engineer
 
 for our Government client, based out of their office in
 
 Dubai
 
 ,
 
 UAE.
 
 
 
 
 
 
 
 Job Purpose:
 
 
 
 We are seeking a highly skilled AI Engineer with expertise in Large Language Models (LLMs), Machine Learning, and Cloud Deployment. This role involves building and deploying AI solutions, integrating APIs, and optimizing performance for large-scale systems.
 
 
 
 
 
 
 Job Responsibilities:
 
 
 <ul>
 <li>
 
 Develop and Fine-Tune AI Models:
 
 Build and optimize Large Language Models (LLMs) for tasks like handwriting recognition and image processing.
 </li>
 <li>
 
 Cloud &amp; On-Prem Deployment:
 
 Deploy AI models on
 
 AWS Cloud (UAE Region)
 
 and local servers, ensuring scalability and security.
 </li>
 <li>
 
 API Integration:
 
 Connect AI models with internal and external systems using RESTful APIs for seamless functionality.
 </li>
 <li>
 
 Performance Optimization:
 
 Monitor, troubleshoot, and enhance model accuracy, speed, and reliability in production environments.
 </li>
 <li>
 
 Infrastructure Design:
 
 Architect high-speed network setups and AI communication frameworks to support large-scale AI applications.
 </li>
 <li>
 
 Data Management:
 
 Handle data preprocessing, cleaning, and augmentation for training models; manage local LLMs and databases.
 </li>
 <li>
 
 Collaboration &amp; Innovation:
 
 Work closely with cross-functional teams to integrate AI solutions into existing platforms and research next-gen AI technologies.
 </li>
 </ul>
 
 
 
 
 
 Job Requirements:
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s/Master&rsquo;s
 
 in Computer Science, AI, or related field.
 </li>
 <li>
 Minimum
 
 4 years
 
 of hands on experience with
 
 LLMs
 
 and
 
 AI frameworks.
 
 </li>
 <li>
 Proficiency in
 
 Python
 
 ,
 
 TensorFlow
 
 ,
 
 PyTorch
 
 ,
 
 Node.js
 
 , and
 
 .NET
 
 .
 </li>
 <li>
 Strong knowledge of
 
 AWS Cloud deployment
 
 and
 
 API integration
 
 .
 </li>
 <li>
 Experience with
 
 LangChain
 
 ,
 
 OpenAI
 
 , and open-source AI tools.
 </li>
 <li>
 Portfolio showcasing previous AI/LLM projects is a strong plus.
 </li>
 </ul>
 
 
</div>

AI Engineer

Charterhouse Middle East

<div>
 
 
 Competitive Salary
 
 
 
 
 
 
 Charterhouse is partnered with a fast-growing technology company pioneering the development of advanced AI-optimized hardware and infrastructure. Our Client is dedicated to accelerating AI innovation by delivering high-performance, scalable, and energy-efficient infrastructure. As part of their expansion, they are looking to hire experienced AI Engineers (multiple openings) to join their team.
 
 
 
 
 
 The AI Engineer will be responsible for designing and implementing scalable AI systems and pipelines based on LLMs, leveraging Python and modern generative AI frameworks. In this role, the Engineer will also build internal GenAI systems and demo applications that showcase the power of the company&rsquo;s proprietary hardware.
 
 
 
 
 
 Key responsibilities include optimizing prompts, embeddings, retrieval mechanisms, and model behaviour, as well as fine-tuning models to enhance domain-specific performance. The role requires building custom pipelines for document ingestion, chunking, embedding generation, and retrieval, in addition to maintaining workflows for model versioning, reproducibility, as well as experiment tracking. Furthermore, the AI Engineer will also collaborate with AI hardware teams to profile workloads and evaluate model performance across various accelerator platforms.
 
 
 
 
 
 The successful candidate will demonstrate strong programming skills in Python and familiarity with data analysis libraries such as Pandas, NumPy, and SQL which are essential for the role. Hands-on experience with fine-tuning models (via LoRA, qLoRA or full fine-tuning) deploying retrieval-augmented generation (RAG) solutions, working with vector databases (e.g., Milvus, Chroma), and utilizing evaluation frameworks such as Ragas or DeepEval is required.
 
 
 
 
 
 In addition, experience with large-scale deployment and monitoring tools (e.g., ClearML, Kubeflow) is also highly desirable, along with a solid understanding of software engineering best practices, including testing, debugging, documentation, and version control. Knowledge of CPU, GPU, or custom accelerator architectures such as NPUs, TPUs is preferred.
 
</div>

VaporVM

<div><div><div>Date Posted:</div>
02 December, 2025</div>
<div><div>Industry:</div>
IT Services and IT Consulting</div>
<div><div>Location:</div>
VAPORVM IT SERVICES DMCC</div></div>
 <div><h2 class="jobSectionHeader">Job Description:</h2>
<div>HPC/AI Infrastructure Engineer

Overview

We are seeking a highly skilled HPC/AI Infrastructure Engineer to design, deploy, and manage advanced computing environments leveraging NVIDIA technologies, Kubernetes, and Linux systems. This role is critical to ensuring the performance, scalability, and reliability of AI workloads across GPU-accelerated clusters.

Key Responsibilities
<ul><li>Deploy, configure, and manage NVIDIA Base Command Manager for orchestrating GPU workloads (critical).</li></ul>
<ul><li>Implement and maintain NVIDIA AI Enterprise Suite to support enterprise-grade AI frameworks.</li></ul>
<ul><li>Operate and optimize NVIDIA GPU and Network Operators within Kubernetes environments.</li></ul>
<ul><li>Utilize NVIDIA NIMs and Blueprints to streamline AI model deployment and infrastructure automation.</li></ul>
<ul><li>Administer and scale Slurm workload manager for HPC job scheduling (critical).</li></ul>
<ul><li>Manage vanilla Kubernetes clusters, ensuring high availability and resource efficiency.</li></ul>
<ul><li>Maintain and secure systems running on Canonical Ubuntu OS, including patching and performance tuning.</li></ul>

Required Skills &amp; Qualifications
<ul><li>Strong expertise with NVIDIA GPU technologies and AI infrastructure.</li></ul>
<ul><li>Hands-on experience with Slurm in HPC environments.</li></ul>
<ul><li>Proficiency in Kubernetes cluster administration.</li></ul>
<ul><li>Deep knowledge of Linux (Ubuntu) system administration.</li></ul>
<ul><li>Familiarity with network operators and GPU scheduling in containerized environments.</li></ul>
<ul><li>Ability to troubleshoot complex distributed systems.</li></ul>

Preferred Skills
<ul><li>Experience with automation tools (e.g., Ansible, Terraform).</li></ul>
<ul><li>Knowledge of cloud-native architectures and hybrid HPC/AI deployments.</li></ul>
<ul><li>Familiarity with observability tools (Prometheus, Grafana).</li></ul>
<ul><li>Background in AI/ML workflows and performance optimization.</li></ul>

Work Environment
<ul><li>Collaborative team working on cutting-edge AI and HPC solutions.</li></ul>
<ul><li>Opportunity to shape infrastructure supporting enterprise-scale AI workloads.</li></ul>
<ul><li>Exposure to NVIDIA&rsquo;s latest ecosystem of AI and GPU technologies.</li></ul></div></div>

HPC/AI Infrastructure Engineer

INNOBAYT INNOVATIVE SOLUTIONS

About the RoleInnobayt Solutions is urgently seeking a highly motivated AI Engineer Intern for a 3-month intensive internship. During this program, you will gain hands-on experience with real AI projects- including machine learning, large language models (LLMs), AI agents, and computer vision- while collaborating closely with our experienced team to develop meaningful and impactful solutions.Key Responsibilities1. AI &amp; Machine Learning Development<ul><li>Develop, fine-tune, and optimize machine learning models for real-world applications.</li><li>Work on AI-powered solutions such as AI agents, autonomous workflows, and custom LLM implementations.</li><li>Build and integrate computer vision models for innovative projects.</li></ul>2. Research &amp; Experimentation<ul><li>Explore open-source LLMs, Retrieval-Augmented Generation (RAG), and prompt-engineering techniques.</li><li>Investigate new tools, frameworks, and approaches to enhance AI performance.</li></ul>3. Integration &amp; Deployment<ul><li>Collaborate with the engineering team to deploy AI models in production environments.</li><li>Contribute to pipelines, workflows, and systems that support scalable AI deployment.</li></ul>4. Collaboration &amp; Innovation<ul><li>Participate in brainstorming sessions focused on emerging technologies.</li><li>Share insights and contribute creative ideas on AI applications.</li></ul>What We&rsquo;re Looking ForTechnical Skills:<ul><li>Strong Python skills and experience with ML/DL frameworks (TensorFlow, PyTorch, Hugging Face).</li><li>Knowledge of NLP, machine learning, deep learning, or computer vision.</li><li>Familiarity with LLMs, embeddings, vector databases, or RAG pipelines (bonus).</li><li>Exposure to LangChain, OpenAI APIs, or LLM fine-tuning (strong advantage).</li><li>Basic knowledge of cloud services (AWS, Google Cloud, Azure).</li></ul>Mindset &amp; Work Approach:<ul><li>Passion for AI and emerging technologies.</li><li>Eager to experiment, learn, and solve challenging problems.</li><li>Comfortable working in a fast-paced, dynamic environment and contributing to team discussions.</li></ul>What We Offer:<ul><li>Real project exposure and hands-on AI experience</li><li>Mentorship from experienced AI and software engineers</li><li>Learning opportunities with modern tools and frameworks</li><li>Potential full-time role after internship completion</li><li>Internship certificate</li></ul>Job Type: Internship Contract length: 3 months

AI Engineer Intern – 3-Month Internship

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>

Company DescriptionInnobayt Innovative Solutions LLC (&ldquo;Home of Innovation&rdquo;) is a Dubai-headquartered technology company specializing in AI, IoT, Cloud, and Modern App Development. We design and deploy transformative solutions that enable digital transformation across industries including Energy, Manufacturing, Healthcare, FinTech, and Smart City sectors.We are now expanding our AI Consulting Division to focus on Microsoft Copilot Solutions &mdash; empowering enterprises to unlock productivity through AI-driven workflows and intelligent automation across Microsoft 365, Dynamics, and Azure ecosystems.Role DescriptionThe AI Consultant &ndash; Microsoft Copilot Solutions will be responsible for advising, architecting, and implementing Copilot-based automation, AI integration, and workflow optimization for enterprise customers.The role requires a mix of business consulting, technical solutioning, and AI adoption enablement, helping clients identify opportunities, configure Copilot, and integrate with organizational systems to achieve measurable productivity and ROI.Key Responsibilities:1. Client Consulting &amp; Strategy<ul><li>Engage with enterprise clients to assess their digital maturity and identify areas where Copilot can drive efficiency, automation, and decision support.</li><li>Conduct workshops and discovery sessions to map business processes to AI-powered automation opportunities.</li><li>Develop AI adoption roadmaps and change-management plans for Copilot deployment.</li><li>Translate business requirements into technical implementation plans for Microsoft Copilot within M365, Dynamics 365, and Power Platform environments.</li></ul>2. Solution Architecture &amp; Implementation<ul><li>Design and implement Microsoft Copilot solutions across productivity suites (Word, Excel, PowerPoint, Outlook, Teams, SharePoint, Power BI, Power Apps, Power Automate).</li><li>Integrate Copilot with Azure Cognitive Services, Azure OpenAI, and custom APIs for enhanced functionality.</li><li>Develop custom Copilot extensions and plug-ins to align with client-specific business use cases.</li><li>Collaborate with technical teams to ensure seamless data connectivity, security compliance, and governance in Copilot deployments.</li><li>Evaluate and fine-tune Copilot&rsquo;s prompts, embeddings, and generative responses to ensure contextual accuracy.</li></ul>3. AI Enablement &amp; Change Management<ul><li>Conduct user training and adoption programs to help teams leverage Copilot effectively.</li><li>Create use-case libraries, productivity benchmarks, and AI success metrics for clients.</li><li>Partner with Microsoft ecosystem teams to stay updated on product advancements and share insights with internal teams and clients.</li></ul>4. Technical Pre-Sales &amp; Delivery Support<ul><li>Support Innobayt&rsquo;s sales and BD teams with solution proposals, demos, and proof-of-concepts for potential clients.</li><li>Prepare technical documentation, architecture diagrams, and implementation guides.</li><li>Assist in preparing client presentations, RFP responses, and AI capability decks.</li></ul>Key Skills &amp; QualificationsTechnical Competencies:<ul><li>Deep understanding of Microsoft 365, Power Platform (Power Apps, Power Automate, Power BI), and Dynamics 365.</li><li>Hands-on experience with Microsoft Copilot Studio, Azure OpenAI Service, and Azure Cognitive Services.</li><li>Familiarity with prompt engineering, LLM configuration, and AI governance principles.</li><li>Knowledge of Azure Active Directory, Data Security, Compliance, and Integration Frameworks.</li><li>Experience developing chatbots or AI copilots using tools like Power Virtual Agents, Bot Framework, or similar.</li><li>Understanding of APIs, RESTful integrations, and connector development.</li></ul>Consulting &amp; Soft Skills:<ul><li>Strong analytical mindset and ability to convert business problems into AI solutions.</li><li>Excellent communication and stakeholder-management skills.</li><li>Ability to conduct workshops, deliver presentations, and write client proposals.</li><li>Strong documentation and reporting capabilities.</li><li>Self-driven, innovative thinker passionate about AI transformation.</li></ul>Preferred Experience<ul><li>3-4 years of experience in AI Consulting / Microsoft Solutions / Business Process Automation.</li><li>Microsoft Certified: Power Platform Solution Architect / AI Engineer Associate / Copilot Developer preferred.</li><li>Prior experience in enterprise digital transformation or AI strategy consulting is a plus.</li></ul>Job Type: Full-time

AI Consultant – Agentic AI & Microsoft Copilot Solutions

Explore 3364+ Ai solutions engineer in Dubai this December. Find roles across top companies and apply now to boost your career.

3364 ai solutions engineer jobs IN Dubai

Senior AI Engineer - Professional Services - UAE

AI Engineer

AI Engineer

HPC/AI Infrastructure Engineer

AI Engineer Intern – 3-Month Internship

AI Engineer

AI Consultant – Agentic AI & Microsoft Copilot Solutions