40 AI Ml jobs in the United Arab Emirates

The Role
This role focuses on designing and deploying machine learning models and data science solutions to solve real-world business challenges. You'll work closely with cross-functional teams to extract insights from complex datasets and support strategic initiatives across all operations & BU's. Client Details A leading distribution business in the UAE, recognised for its expansive logistics operations and commitment to innovation. Description * Develop and deploy predictive models for demand forecasting, inventory optimisation, and customer segmentation. * Perform exploratory data analysis and statistical modeling to uncover actionable insights. * Collaborate with business stakeholders to translate problems into data science solutions. * Build and maintain scalable data pipelines and model deployment frameworks. * Evaluate model performance and ensure continuous improvement through retraining and tuning. * Document methodologies and present findings to technical and non-technical audiences. * Stay updated with industry trends and emerging techniques in machine learning and data science. Job Offer * Opportunity to lead high-impact AI and data science projects in a dynamic industry. * Collaborative work culture with access to cutting-edge tools and technologies.

Requirements
* Minimum 5 years' experience in machine learning, data science, or applied statistics. * Proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow). * Strong understanding of classical ML techniques, statistical modeling, and data wrangling. * Experience with cloud platforms (e.g., AWS, Azure) and data engineering tools. * Excellent problem-solving and communication skills. * Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.

About the company
Michael Page is one of the world's leading professional recruitment consultancies, specializing in the placement of candidates in permanent, contract, temporary and interim positions with clients around the world. The Group has operations in the UK, Continental Europe, Asia-Pacific and the Americas. In the Middle East we focus on the areas of: Finance & Accounting Banking & Financial Services Procurement Property & Construction Engineering & Supply Chain Oil & Gas Technical and Engineering Human Resources Sales Marketing Technology Secretarial Executive Search Legal The Group operates through 161 offices in 33 countries and employs over 5,000 employees worldwide.

Overview

Embark on a journey where your unique contributions are celebrated, and your professional growth is embraced. At ADCB, we nurture a diverse, inclusive community where every voice is valued.

About the business area

GBS is a group of highly skilled and talented professionals who form an essential part of ADCB's continued journey of success. With a proud history of commitment, innovation and delivery, GBS constantly strives for excellence whilst ensuring the highest standards of quality and risk awareness. Each and every member of the GBS family plays an integral role in driving ADCB's strategy, growth and digital evolution by working closely with our valued business partners to achieve exceptional customer experience through our outstanding service and support.

We are actively seeking an ambitious professional to join our Group Business Service team at ADCB to work alongside passionate colleagues who share your ambition to redefine excellence in UAE banking.

Responsibilities

• Translate Generative Artificial Intelligence (AI) strategy into actionable product and engineering roadmaps, technical capabilities and backlog items
• Define value streams and metrics for AI use cases across customer and operational journeys
• Prioritize AI features based on business impact, feasibility, and ethical considerations
• Collaborate with engineering and data science teams to ensure scalable and compliant delivery
• Monitor product performance and iterate based on feedback, data, and evolving AI capabilities
• Ability to prototype rapidly while balancing enterprise-grade security, scale, and compliance using AI tooling
• Drive AI evaluations and deploy frameworks to ensure AI performance and business needs are aligned
• Define and implement evaluation frameworks for Large Language Models (LLMs), agentic workflows, and AI models
• Track key performance indicators (KPIs) and return on investment (ROI) for AI initiatives to ensure transparency and explainability in AI outputs through structured evaluation metrics
• Collaborate with engineering to integrate monitoring dashboards and alerts into production systems
• Own and manage the AI product backlog tools like Jira, ensuring clarity and prioritization
• Facilitate sprint planning, reviews, and retrospectives with AI squads
• Remove blockers and manage dependencies across squads and platforms
• Drive backlog hygiene, delivery velocity, and value realization
• Liaise between AI squads and business stakeholders
• Translate complex AI capabilities into business-relevant narratives and requirements
• Communicate product vision, roadmap, and progress to senior leadership and cross-functional teams by ensure alignment with ADCB’s Responsible AI principles and compliance standards
• Stay updated on AI trends (e.g., LLMs, Retrieval Augmented Generation (RAG), agentic systems, Reinforcement Learning from Human Feedback (RLHF)) and assess applicability
• Evaluate and integrate new tools and frameworks (e.g., LangChain, Azure OpenAI, Pinecone)
• Champion experimentation and rapid prototyping while maintaining enterprise-grade standards
• Contribute to ADCB’s AI community of practice and knowledge sharing initiatives
• Manage self and team in line with ADCB’s people management policies, procedures, processes and practices to ensure adherence and to maximize own and employee contribution to business performance
• Organize and supervise the activities and work of the team to ensure that targets and objectives are achieved and the business plan is delivered in line with the required policies, processes, procedures and systems
• Implement approved departmental policies, processes and procedures, and ensure employee adherence so that work is carried out to the required standard while delivering the required standards of service to customers and stakeholders
• Manage and motivate the team to ensure they contribute to, and participate in, the identification and implementation of change initiatives, programmes and projects in line with the Bank’s standards
• Demonstrate Our Promise and apply the ADCB Service Standards to deliver the Bank’s required levels of service in all internal and external customer interactions

The ideal candidate should have the following experience

• At least 6 years of experience in product management, with a focus on AI, digital platforms, or enterprise technology solutions
• Proven track record of leading cross-functional teams to deliver high-impact AI products
• Bachelor’s degree in Business, Computer Science, Information Systems, or related field. Master’s degree or certification in Product Management or AI Strategy is preferred
• Certified Scrum Product Owner (CSPO), SAFe Product Owner/Product Manager, or equivalent certifications are desirable
• Strategic product planning, roadmap development, and business case creation
• Agile methodologies, backlog management, and cross-functional collaboration
• AI/ML product lifecycle management and ethical considerations
• Stakeholder engagement and customer-centric design
• Strong analytical, problem-solving, and communication skills
• Familiarity with AI/ML platforms and product-market fit analysis
• Value realization tracking and storytelling for technical and non-technical audiences

What we offer

• Competitive Salary: Additional to this, all employees are eligible to participate in one of our rewarding variable pay plans.
• Comprehensive Benefits Package : This includes market-leading medical insurance, group life and personal accident insurance, paid leave and leave airfare, employee preferential rates on loans and finance facilities, staff discounts and offers, and children education assistance (for certain job levels).
• Flexible and Remote Working Options : We understand the importance of work-life balance and offer flexible working arrangements, subject to eligibility and job requirements.
• Learning and Development Opportunities : We value and facilitate continuous learning and personal development, through a variety of exciting learning opportunities, such as structured instructor-led courses, a comprehensive e-Learning catalog, on-the-job training and professional development programs.

At ADCB, we are dedicated to creating a respectful, caring and disciplined work environment that aligns with your career ambitions

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A strong player in the shipping and logistics industry that are looking to expand their AI and ML capabilities.

• Build and maintain scalable ML pipelines for pricing optimisation, shipping rate prediction, and logistics operations.
• Deploy, monitor, and manage ML models in production using best-practice MLOps frameworks and tools.
• Collaborate with data scientists to take prototypes through to production-grade solutions.
• Implement automated model monitoring, retraining, and version control processes to ensure performance stability.
• Optimise model latency and cost efficiency for real-time decision-making in high-volume transactional environments.
• Partner with engineering teams to streamline data flows from operational systems (ERP, WMS, TMS) and ensure data readiness.
• Champion reproducibility, scalability, and operational excellence in AI delivery.

• Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field.
• 4+ years of hands-on experience in MLOps, with a strong background in deploying and managing ML models in production.
• Proven experience in pricing optimisation, shipping, logistics, or supply chain AI solutions.
• Strong Python skills and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Familiarity with MLOps tools and platforms (MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML).
• Solid understanding of CI/CD, containerisation (Docker, Kubernetes), and cloud-based ML infrastructure.
• Experience working with APIs and integrating ML into operational workflows.

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The Role
You will be at the core of designing, deploying, and maintaining robust AI/ML solutions in production, with a strong focus on pricing models, demand forecasting, route optimisation, and real-time logistics decision-making. Working closely with Data Science, Engineering, and Product teams, you'll ensure models are production-ready, scalable, and delivering measurable impact. Client Details A strong player in the shipping and logistics industry that are looking to expand their AI and ML capabilities. Description * Build and maintain scalable ML pipelines for pricing optimisation, shipping rate prediction, and logistics operations. * Deploy, monitor, and manage ML models in production using best-practice MLOps frameworks and tools. * Collaborate with data scientists to take prototypes through to production-grade solutions. * Implement automated model monitoring, retraining, and version control processes to ensure performance stability. * Optimise model latency and cost efficiency for real-time decision-making in high-volume transactional environments. * Partner with engineering teams to streamline data flows from operational systems (ERP, WMS, TMS) and ensure data readiness. * Champion reproducibility, scalability, and operational excellence in AI delivery. Job Offer Opportunity to work at the intersection of AI innovation and real-world logistics challenges.

Requirements
* Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field. * 4+ years of hands-on experience in MLOps, with a strong background in deploying and managing ML models in production. * Proven experience in pricing optimisation, shipping, logistics, or supply chain AI solutions. * Strong Python skills and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn). * Familiarity with MLOps tools and platforms (MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML). * Solid understanding of CI/CD, containerisation (Docker, Kubernetes), and cloud-based ML infrastructure. * Experience working with APIs and integrating ML into operational workflows.

About the company
Michael Page is one of the world's leading professional recruitment consultancies, specializing in the placement of candidates in permanent, contract, temporary and interim positions with clients around the world. The Group has operations in the UK, Continental Europe, Asia-Pacific and the Americas. In the Middle East we focus on the areas of: Finance & Accounting Banking & Financial Services Procurement Property & Construction Engineering & Supply Chain Oil & Gas Technical and Engineering Human Resources Sales Marketing Technology Secretarial Executive Search Legal The Group operates through 161 offices in 33 countries and employs over 5,000 employees worldwide.

Manager - AI/ML Solution Architect page is loaded Manager - AI/ML Solution Architect Apply locations Abu Dhabi time type Full time posted on Posted Yesterday job requisition id R-8511

Not just a job, but a career

Yokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.

Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.

About the Team
Our 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.

Job Purpose:

The AI/ML Digital Solution Architect is responsible for architecting AI/ML solutions and support the analytical implementation for the production of Oil & Gas, Petrochemicals and other domain. The individual is also responsible for owning AI/ML business outcomes and implementation strategy while supporting Digital Enterprise Business Unit/ Solution Division in developing a differentiation in a high-growth competitive environment in YMA region.

Key Responsibilities & Accountabilities:

• Perform high level technical analysis activities leveraging AI/ML technology. The individual is required to gather and perform gap analysis and to explore use of AI/ML technology to resolve customers’ problems.
• Responsible to advice on suitable AI/ML solution and to provide overall business portfolio management, design and demo functions.
• Responsible for the business case identification, implementation support and successful proliferation of focused AI applications in the assigned industry / application.
• Responsible to ensure client expectations are understood and being met using AI/ML.
• Responsible to ensure timing and quality of assigned deliverables completion while working to support delivery team.
• Responsible to ensure AI best practice approaches and methods are being used as appropriate.
• Engage with customer in assigned technical area(s) to develop solutions that help to resolve their process problems and grow their business leveraging AI and other APC/RTO if possible.
• Support SM/DX training efforts - Provide input, document requirements, and support the design and delivery of AI related training programs.
• Responsible for / contribution to the preparation of reports for clients
• Define solution architectures and develops detailed design specifications.
• Define functional requirements through client interviews, documentation analysis and Workflow Process Mapping. Knowledge of SIRI Assessment is an advantage.
• Provide expert knowledge and experience to estimate the technical effort required to implement complex AI solutions.
• Responsible for technical deliverables during the entire lifecycle of solution development projects
• Actively participate on a technical project team, ensuring that effective relationships are built and maintained.
• Proactively engage with customers to define the overall technical approach for AI implementation with simulation or Digital Twin.
• Assist existing customers in problem resolution and help define future opportunities with those customers. Provide Sure Service support to clients under contract.
• Proven ability to positively interact with all sales personnel and secure orders.

Qualification and Experience:

• Bachelor’s Eng./Comp Science or minimum 6 years industry experience in AI based software development, engineering discipline and sales
• Minimum 4 years’ experience designing or implementing AI/ML applications. Knowledge of AI for control will be advantages.
• Strong problem-solving skills with an emphasis on Solution development.
• Must be willing and able to travel throughout the YMA / YIL / YEF regions.

Competencies:

• Good communication skills, a team player, ability to energize.
• Knowledge of Oil and Gas, Petrochemicals or specialized chemical Domain will be a plus.
• Strong Knowledge on IIOT integration concepts
• Knowledge on Latest’s market trend
• Tough and persistent negotiation skills

Skills:

• AI related Software skills in software analysis, design, methodology, and architecture
• Strong exposure to Machine Learning technologies, including automated data collection, historian applications (OSI PI a plus), visualization, quality and efficiency in manufacturing, SCADA, automated decision control, workflow, database applications and scheduling.
• Basic knowledge on R and Python and Machine Learning is added value.
• Basic knowledge on Big Data Analysis and Cloud Computing
• Anticipates the needs for change and supports and promotes companywide programs, strategies and initiatives.
• Develop and identifies Industry / application-wide Digital technologies suitable for business use.
• Creates an environment conductive to successful interaction and customer satisfaction.
• Early engagement with Customers and explore long term partnership agreements.
• (PLUS) Experience with physical simulators (e.g., OmegaLand, Petro-SIM)

Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.

Are you being referred to one of our roles? If so, ask your connection at Yokogawa
about our Employee Referral process!

About Us

Yokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.

Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.

Our 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow".

We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.

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About the Role

NorthBay Solutions seeks an Enterprise Architect with proven GenAI leadership, strong AI/ML foundation, and solid enterprise architecture background. We want seasoned professionals with deployment experience across on-premises, cloud, and hybrid environments.

Note: This role requires flexibility to relocate to Abu Dhabi (UAE) for onsite client requirements.

Core Responsibilities

• Design end-to-end AI-powered enterprise solutions integrating traditional systems with AI/ML
• Lead 8–12 engineers across full-stack, DevOps, and AI/ML specializations in Agile environments
• Drive technical decisions spanning infrastructure, databases, APIs, microservices, and AI components

Technical Requirements

GenAI Leadership (3+ Years) – PRIMARY

• Expert-level LLM experience (LLAMA, Mistral, GPT) including fine-tuning and deployment
• Agentic AI, MultiAgent systems, Agentic RAG implementations
• Vector Databases, LangChain, Langraph, and modern GenAI toolchains
• Advanced prompt engineering and Chain-of-Thought techniques
• 3+ production GenAI applications successfully implemented

AI/ML Foundation (4–5 Years)

• Hands-on AI/ML experience building production systems with Python, TensorFlow, PyTorch
• ML model lifecycle management from development to deployment and monitoring
• Integration of AI/ML models with existing enterprise architectures

Enterprise Architecture & Deployment (8+ Years)

• Full-stack development with MERN stack or equivalent
• Deployment experience across on-premises, cloud, and hybrid environments
• Kubernetes expertise for container orchestration and deployment
• Database proficiency: SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB)
• API development: RESTful services, GraphQL, microservices architecture
• DevOps experience: Docker, CI/CD pipelines, infrastructure automation

Cloud & Infrastructure

• Strong cloud experience (AWS/Azure/GCP) with ML services
• AWS: SageMaker, Bedrock, Lambda, API Gateway or equivalent
• Hybrid architecture design combining on-prem, cloud, and AI/ML systems

Proven Delivery

• 7+ complex projects delivered across enterprise systems and AI/ML solutions
• Team leadership experience managing diverse technical teams

Requirements

• (Good to have) AWS/Azure/GCP certifications (Solutions Architect + ML Specialty preferred)
• Strong communication skills bridging business and technical requirements
• Agile/Scrum leadership experience with measurable team performance improvements

Ideal Candidate

Priority expertise: GenAI Leadership → AI/ML Foundation → Enterprise Architecture with deployment experience across on-premises, cloud, and hybrid environments.

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Solutions Manager -AI & ML -Digitalization Project page is loaded# Solutions Manager -AI & ML -Digitalization Projectlocations: Abu Dhabitime type: Full timeposted on: Posted Todayjob requisition id: R-9133**Not just a job, but a career**Yokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.**About the Team** Our 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.**Job Purpose*** In this role, you will drive the design, development, and implementation of advanced AI/ML models, working closely with cross-functional teams to optimize operations and deliver data-driven insights in challenging industrial environments.* Design and develop AI /ML models that support asset performance management across various maintenance strategies, including predictive, prescriptive, and cognitive maintenance.* Implement Analytical AI techniques (supervised/unsupervised learning, reinforcement learning) for predictive maintenance, defect elimination, and asset strategy optimization* Use AI /ML to analyze trends and patterns, make intelligent recommendations, and automate decision support systems.* Develop intelligent recommendations systems that improve maintenance processes, criticality assessments, and reliability analytics.* Ensure AI models are scalable and deployable within industrial platforms, integrating with DCS, PLC, SCADA, Historians, EAM, MES/MOM, SCM, and SAP systems.* To oversee the expansion of our advanced automation and digital transformation solutions (AI/ML) and services into new asset developments and brownfield optimization projects across several industrial markets**Key Responsibilities & Accountabilities*** Knowledge of software development process and technical skills: Lead AI /ML Engineer must know the technical aspects of projects to identify risks, propose immediate solutions and provide guidance for Digital transformation solutions.* Define the AI/ML strategy and roadmap for oil & gas solutions, aligning with Yokogawa’s digital transformation objectives.* Architect end-to-end ML systems, from data ingestion and feature engineering to model deployment and monitoring.* The objective is to understand your customer’s business objectives to align with Yokogawa capabilities and solutions. In this role you will lead other Yokogawa key contributors in an overall strategy to implement solutions that will contribute to customer business objectives in a way that is meaningful and measurable in the areas of AI/ML solutions.* Lead and mentor a multidisciplinary team of data scientists, machine learning engineers, and software developers.* Make strategy, implement initiatives & measures to help position AI/ML solutions to achieve long term sustainability and profitability on establishing site services orders, management of warranty & post-delivery support for YUAE business.* Report to Department Manager-Advanced Solutions Department on job progress, issues and resolutions and manpower-mapping for effective delivery of solution.* Lead and mentor a multidisciplinary team of data scientists, machine learning engineers, and software developers.**Qualification and Experience*** A bachelor’s degree in data science / AI or Software engineering with specialization in data science and having strong process knowledge. Master’s degree is preferable.* Minimum 15 years of experience.**Competencies*** Develop and optimize algorithms for real-time analytics and predictive maintenance in upstream, midstream, and downstream operations.* Perform model performance tuning to ensure reliability and scalability under production environments.* Partner with domain experts, process engineers, and project managers to translate complex operational challenges into AI-driven solutions.* Ensure all AI/ML solutions comply with industry regulations, safety standards, and data governance policies.* Proactively addresses potential risks related to data privacy, model bias, and operational safety.* Capable of managing field surveys, designing automation functions, and ensuring compliance with project quality standards.* Capable of overseeing multiple projects, ensuring the successful delivery of projects involving advanced automation technologies including AI/ML and managing all aspects of project execution* Deep technical knowledge in process solutions and expertise in specialty Chemicals & Process, including understanding Chemical Properties, Manufacturing Processes, Operations and Industry-specific challenges* Stay updated on the latest trends, technologies, and regulations in the specialty chemicals & Process industry and provide insights that influence product/service/solution development and strategic planning* Customer Focus with Strategic Mindset* Proven track record of field experience and technical skills* Excellent verbal and written communication skills* Good leadership skills**Skills*** Knowledge and experience in implementing AI /ML Project* Knowledge in advanced level for programing in Python, C++, Java, C#, SQL, Matlab etc* Strong experience with Predictive Analytics and Prescriptive Analytics using tools like TensorFlow, PyTorch, and familiarity Keras, XGBoost.* Strong foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning), statistical modelling, and optimization techniques.* Proficiency in handling large-scale data, time-series data, and sensor/IoT data within industrial contexts.* Expertise in cloud-based AI deployments (AWS, Azure, or Google Cloud) and edge AI for real-time decision-making.* Hands-on experience with major cloud platforms (AWS, Azure, or GCP) for model deployment and data processing.* Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams.* Familiarity with distributed data processing and big data technologies (Spark, Hadoop), plus knowledge of time-series databases (e.g., InfluxDB, OSIsoft PI) is an added advantage.* Knowledge of working on DCS platforms.* Consistently demonstrates exceptional technical skills, competence, and productivity.* Possesses excellent communication and interpersonal abilities.* This position is best filled by someone with a firm understanding and knowledge in AI /ML with data science background with having process Plant Operations -Onshore /Offshore/Refining -Upstream, Midstream & downstream with Process Automation/Process Control in both discrete and continuous manufacturing.Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their #J-18808-Ljbffr

Graduate AI/ML Engineer - UAE National page is loaded# Graduate AI/ML Engineer - UAE Nationallocations: Dubaitime type: Full timeposted on: Posted Todayjob requisition id: R Location: Dubai, United Arab EmiratesIn fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.Thales has built a presence in the United Arab Emirates for over 35 years, and today has over 300 employees. Thales in the UAE is part of our Middle East business that has 1,800 people across Egypt, Iraq, Kuwait, KSA, Lebanon, Oman, Pakistan, Qatar and UAE. Together we delivered technology for the Dubai metro, the longest driverless metro network in the world and a fare collection system that processes up to 250,000 transactions per day. We make UAE a safer place by providing secure electronic payment solutions, cyber security systems and communications as well as security systems for Dubai International Airport and air traffic management and navigation systems for Abu Dhabi’s airport.**JOB OBJECTIVE**We are seeking a talented and enthusiastic AI/ML professional to join our team. This position is ideal for recent graduates or final year students in Computer Science or IT Engineering who are passionate about machine learning and artificial intelligence.The incumbent will play a key role in helping us define a solution to digitalize documents and develop a system capable of predicting qualifications based on database analysis.**ROLES & RESPONSIBILITIES*** Collaborate with senior officials to understand project requirements and goals.* Assist in the development and implementation of a machine-learning model to process and digitalize various documents.* Work on algorithms that analyze data from the digital documents to make predictions about qualifications.* Perform data preprocessing and cleaning to ensure high-quality input for the machine learning models.* Conduct experiments and evaluations to measure the effectiveness of different models and approaches.* Document processes, methodologies, and findings for future reference and knowledge sharing.* Present progress updates and findings to the team in a clear and concise manner.**WORK EXPERIENCE REQUIREMENTS*** Solid understanding of machine learning concepts and algorithms.* Experience with programming languages such as Python, R, or Java.* Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.* Knowledge of data preprocessing techniques and tools.* Strong analytical and problem-solving skills.* Excellent communication and teamwork abilities.* Ability to learn quickly and adapt to new challenges.**QUALIFICATION, CERTIFICATION & EDUCATIONAL REQUIREMENTS*** Educational background in Computer Science, IT Engineering, or a related field.**PREFERRED SKILLS*** Experience with natural language processing (NLP) and document digitalization.* Understanding of database design and management.* Familiarity with cloud services and deployment (AWS, Azure, GCP).* Previous internship or project experience in AI/ML.**HSE RESPONSIBILITIES*** Ensure both your own safety and the safety of others at all times.* Maintain an active role in achieving the objectives and adhering to the HSE Thales Policy* Comply with local HSE laws and legislation.* To use safety equipment (including PPE) as required and intended.* Lead by example and actively encourage departments to look at ways to conserve water & energy, minimise the generation of waste, and encourage recycling.* Every one within Thales has the right to stop work if they believe that their activities may affect their health and safety or that of others. In this circumstance, such conditions must be reported immediately to their line manager and the HSE department.At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now! #J-18808-Ljbffr

We are looking for a passionate AI/ML Intern to help us design, develop, and deploy AI-powered solutions and products. This role involves building both AI/ML models and the applications or platforms where these models will be utilized. The ideal candidate should have strong programming skills, a solid understanding of machine learning and AI concepts, and the ability to develop end-to-end solutions, including applications leveraging LLMs (Large Language Models) and agentic systems.

Responsibilities AI/ML Model Development

• Build, train, and optimize machine learning models for various use cases.
• Research and integrate Large Language Models (LLMs) and agent-based AI systems.

Application/Platform Development

• Develop scalable applications or platforms to host AI/ML models.
• Implement APIs or integrations to enable seamless interaction with AI systems.

End-to-End Solution Design

• Collaborate with cross-functional teams to define product requirements and workflows.
• Ensure high-quality delivery by testing and debugging applications and models.

Problem Solving and Optimization

• Identify technical challenges and propose innovative solutions.
• Optimize performance and scalability of AI models and applications.

Exploration of Emerging Technologies

• Stay updated on advancements in AI/ML, especially in agentic systems and LLMs.
• Experiment with state-of-the-art frameworks and libraries.

Requirements Programming Skills

• Proficiency in Python and at least one other programming language (e.g., C , Java , etc.).
• Strong experience in data structures, algorithms, and writing clean, efficient, and maintainable code.

Experience in Application Development

• Hands-on experience in building and deploying web or desktop applications.
• Familiarity with frontend and backend technologies, frameworks, and deployment pipelines.

Machine Learning & AI Expertise

• Knowledge of core machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and model evaluation techniques.
• Experience working with real-world datasets and developing models to solve practical problems.

LLM and Agentic Systems Exposure

• Familiarity with LLM frameworks (e.g., OpenAI, LangChain) and experience building AI agents or similar systems.
• Understanding concepts like reinforcement learning, multi-agent systems, or autonomous agents is a plus.

Problem-Solving Skills

• Strong analytical and critical thinking abilities to solve complex problems efficiently.
• Ability to work independently or in a team to deliver innovative solutions under deadlines.

What You’ll Gain

• Hands-on experience in designing and deploying AI-powered products from scratch.
• Exposure to cutting-edge AI technologies and frameworks.
• Mentorship from industry experts and an opportunity to work on impactful projects.

Duration: 3-6 Months
Location: Onsite
Compensation: Unpaid

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