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TalentOne company logo - hiring for AI roles in UAE

AI Engineer – Multiple Vacancies (UAE Nationals Only)

IT Services and IT Consulting
Abu Dhabi, UAE
Onsite
Mid-level
Aug 8, 2026

UAE Nationals Only | Fresh Graduates Encouraged to Apply | Full-Time RoleA leading hospital in the UAE is expanding its Artificial Intelligence and Digital Innovation team and is looking for multiple Junior AI Engineers to join its technology initiatives.We are seeking UAE Nationals and fresh graduates who are passionate about Artificial Intelligence, Machine Learning, and building innovative solutions in the healthcare sector.Key Responsibilities Support the development and implementation of AI/ML solutions. Assist with data analysis, model development, testing, and optimization. Work with technology teams to deliver AI-driven applications and automation solutions. Research and apply emerging AI technologies to solve real-world challenges. Document technical solutions and project outcomes.Requirements UAE Nationals only. Bachelor’s degree in Artificial Intelligence, Computer Science, Data Science, Software Engineering, or related fields. Fresh graduates are encouraged to apply. Basic knowledge of AI/ML concepts and programming (Python preferred). Familiarity with AI frameworks, data analytics, or software development is an advantage. Strong analytical, problem-solving, and teamwork skills.BenefitsFull-time opportunity with a leading UAE healthcare organization.Exposure to real-world AI and digital transformation projects.Opportunity to grow alongside experienced technology professionals.Multiple positions available.If you are a UAE National graduate looking to begin your career in Artificial Intelligence and contribute to innovative healthcare solutions, we encourage you to apply.

Machine Learning
ML
AI
emaratech company logo - hiring for AI roles in UAE

Artificial Intelligence Engineer (UAE National)

IT Services and IT Consulting
Dubai, UAE
Onsite
Mid-level
Aug 8, 2026

AI Strategy and Vision Develop a comprehensive AI and data science strategy that aligns with the company's objectives and long-term vision. Identify and evaluate opportunities for integrating AI and data science into existing processes and operations to improve efficiency and decision making. Lead end-to-end project management of AI initiatives, from conception to deployment and post-implementation evaluation. Collaborate with cross-functional teams to define project scope, requirements, and deliverables. Data Analysis and Modeling Oversee the development of machine learning models and algorithms for various applications, such as predictive analytics, natural language processing, and computer visionEnsure data quality and integrity and implement best practices for data preprocessing and feature engineering and model evaluationEvaluate and select appropriate tools, technologies and frameworks for data analysis and modelingEstablish monitoring mechanisms to track project performance, identify areas for improvement, and report progress to stakeholdersCreate repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data productsInnovation and Research Stay abreast of the latest developments and trends in AI and data science, exploring innovative solutions and emerging technologies that can benefit the organizationRegularly evaluate the performance of AI projects and data science initiatives and provide detailed reports to senior managementUse data-driven insights to propose improvements and optimizations to existing processesData PrivacyEnsure compliance with data privacy regulations and ethical guidelines throughout all data science activitiesImplement data protection measures and maintain confidentiality of sensitive informationIdentify potential risks and challenges associated with AI projects and data science initiatives RequirementsBachelor's or Master's Degree in Computer Sciences / Data Science/ AIStrong background in machine learning, statistical analysis, and data visualization

Machine Learning
AI
Data Science
TalentOne company logo - hiring for AI roles in UAE

Data Scientist

IT Services and IT Consulting
Dubai, UAE
Hybrid
Mid-level
Aug 8, 2026

About the Role Explore data, engineer features, and build machine learning models for real business challenges. Design, run, and evaluate experiments to support products such as fraud detection, recommendation engines, ranking, and personalisation. Collaborate closely with ML engineers and backend developers to bring successful models into production. Present insights and findings to both technical and non-technical stakeholders. Contribute to a collaborative, data-driven environment focused on continuous learning and innovation.Requirements 0–2 years of experience in Data Science (internships, research projects, and academic work are welcomed). Strong Python skills with experience using pandas, NumPy, and scikit-learn. Solid understanding of machine learning, statistics, and experimental design. Good SQL skills. Strong analytical thinking and communication skills. Nice to have: Exposure to Spark, Databricks, recommendation systems, fraud detection, or SaaS/high-scale product environments.Benefits Competitive salary with annual performance bonus. Comprehensive medical insurance. Annual flight allowance. Visa sponsorship. Annual leave entitlement. Learning and conference budget to support your professional growth. Hybrid working model with flexibility. Opportunity to work alongside experienced engineers and data scientists on cutting-edge AI/ML products with a distributed team across Dubai and Europe.

Machine Learning
ML
AI
Mindfire Technologies LLC company logo - hiring for AI roles in UAE

AI Solutions Associate

Computer and Network Security
Dubai, UAE
Onsite
Mid-level
Aug 8, 2026

AI Solutions AssociateWe are looking for enthusiastic and technically curious candidates to join our team as an AI Solutions Associate. This role is suitable for fresh graduates as well as candidates with up to 2 years of experience who are interested in Generative AI, AI agents, automation, and enterprise AI solutions.Key RequirementsBachelor’s degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering, or a related discipline.Freshers are encouraged to apply.Good understanding of Artificial Intelligence, Machine Learning, Generative AI, and Large Language Models.Basic programming knowledge in Python and familiarity with REST APIs.Understanding of prompt engineering and LLM-based application development.Exposure to AI agents, RAG, embeddings, vector databases, and knowledge-based AI applications is an advantage.Familiarity with Microsoft Azure AI services, Azure AI Foundry, Copilot Studio, or similar AI platforms is preferred.Basic understanding of databases, cloud platforms, APIs, and application integration.Interest in developing AI assistants, chatbots, workflow automation, and enterprise AI solutions.Ability to understand business requirements and translate them into AI use cases and proof-of-concept solutions.Good analytical, problem-solving, communication, and documentation skills.Willingness to learn emerging AI technologies, frameworks, and development tools.Recommended CertificationMicrosoft Certified: AI Agent Builder Associate certification is highly recommended.Candidates pursuing relevant Microsoft AI certifications or actively building AI projects, agents, automation workflows, or Generative AI applications will also be considered.Preferred SkillsExposure to any of the following will be an added advantage:Microsoft Azure AI / Azure AI FoundryMicrosoft Copilot StudioOpenAI / Azure OpenAIPythonLangChain / LangGraph or similar frameworksRAG and vector databasesPower Automate / n8n or similar automation platformsGit / GitHubREST APIs and JSONBasic web application developmentAI security, responsible AI, and data privacy conceptsRole FocusThe AI Solutions Associate will support the design, development, testing, and implementation of AI-powered business solutions, including Generative AI applications, AI agents, intelligent assistants, RAG solutions, workflow automation, and integrations with enterprise platforms.

Machine Learning
AI
Data Science
SigniTeq company logo - hiring for AI roles in UAE

AI Solutions Engineer

IT Services and IT Consulting
Abu Dhabi, UAE
Onsite
Mid-level
Aug 8, 2026

AI Solutions Engineer Qualifications: • Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field. • Experience: o 6+ years of experience in AI, machine learning, and solution architecture, with a proven track record of designing and deploying AI solutions. o Hands-on experience with AI tools and platforms and cloud services like Microsoft Azure. o Strong background in machine learning algorithms, deep learning, data processing, and systems integration. Ability to drive architecture governance, code quality, and technical standards.o Proven experience delivering AI and digital transformation solutions within financial services, banking, fintech, regulatory authorities, or highly regulated environments, with a strong understanding of compliance, governance, risk management, and regulatory requirements.• Technical Skills: o Proficient in programming languages such as Python, Java, or C++. o Familiarity with data pipeline tools and frameworks o Experience with cloud infrastructure, containerization (Docker, Kubernetes), and DevOps practices. o Solid understanding of data architecture, data science, security, and privacy considerations in AI systems.o Design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs). Hands-on experience with frameworks like Hugging Face, LangChain, Foundry, OpenAI APIs etc.o Demonstrated experience in designing, developing, and deploying Agentic AI solutions, including autonomous AI agents, multi-agent systems, AI orchestration frameworks, and agent-based workflow automation using platforms such as Azure AI Foundry, Agentforce, etc • Soft Skills: o Strong analytical and problem-solving skills. o Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders. o Leadership experience and the ability to work effectively in cross-functional teams. o Detail-oriented and focused on delivering high-quality, scalable solutions. o  Data & Integration:o  Familiarity with data engineering tools, data lakehouses (Fabric), and ETL pipelines.o  Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.Preferred Qualifications: • Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision. • Knowledge of AI ethics and bias mitigation strategies. Personal Attributes: • Ability to innovate and think critically about solving complex business problems with AI. • Strong interpersonal and communication skills for collaboration with stakeholders at all levels. • Self-motivated, proactive, and comfortable working in a dynamic and fast-paced environment.

Machine Learning
Deep Learning
AI
Anson McCade company logo - hiring for AI roles in UAE

Principal AI Engineer

Software Development and Artificial Intelligence
Dubai, UAE
Hybrid
Principal
Aug 8, 2026

AI Software EngineerLocation: Hybrid(UAE)Type: Full-TimeAbout the RoleWe are working with an innovative technology company looking for an AI Software Engineer to join a high-performing engineering team building next-generation AI-powered applications.This is an opportunity to work on complex LLM-based systems, designing intelligent workflows and developing production-ready AI solutions that solve challenging real-world problems. You'll collaborate with software engineers, product teams and domain experts to build scalable, reliable AI capabilities while staying at the forefront of emerging technologies.ResponsibilitiesDesign, build and enhance production-grade LLM-powered applications.Develop prompt architectures and agentic AI workflows.Build evaluation frameworks and define meaningful metrics to measure model performance and reliability.Design and implement scalable software solutions using Python and modern engineering best practices.Integrate AI capabilities into existing platforms, services and backend systems.Prototype, test and productionise new AI features and model interactions.Improve quality, safety and observability through monitoring, testing and guardrails.Collaborate closely with cross-functional teams to deliver high-quality technical solutions.Contribute to architecture discussions and share knowledge with the wider engineering team.Required Skills & ExperienceCommercial experience building complex LLM-based applications.Strong prompt engineering skills with experience designing agentic AI workflows.Experience creating evaluation frameworks, benchmarks and custom performance metrics for AI systems.Strong software engineering fundamentals with excellent Python development experience.Experience building scalable production systems.Familiarity with cloud platforms, CI/CD pipelines and modern software engineering practices.Passion for keeping up to date with the latest AI research and emerging technologies.Excellent problem-solving and communication skills.Comfortable working in a fast-paced, collaborative engineering environment.Desirable ExperienceExperience working on production AI platforms.Understanding of model monitoring, evaluation and observability.Knowledge of software architecture and distributed systems.Experience collaborating across engineering, product and technical teams.What's on OfferFully remote working across the UAE.Competitive salary and benefits package.Flexible working hours.Annual learning and development budget.Home office equipment allowance.Opportunity to work on cutting-edge AI technology.Collaborative, high-performing engineering culture.Long-term career growth within an innovative technology business.

AI
LLM
Python

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