289 Artificial Intelligence jobs in the United Arab Emirates

Join to apply for the Data Science Lead – Artificial Intelligence role at Dicetek LLC

• Lead AI-driven projects, overseeing the development and deployment of advanced machine learning models and algorithms.
• Collaborate with cross-functional teams to integrate AI solutions into business processes.
• Research and implement cutting-edge AI techniques, including deep learning, NLP, and generative models.
• Mentor junior team members and promote best practices in AI development.

• Master's degree or higher in Data Science, Computer Science, Statistics, or a related field; PhD preferred.
• Experience in Generative AI, Machine Learning, or NLP, especially in academic or financial sectors.
• Proven research record with publications and significant project contributions involving AI technologies.

• Expertise in machine learning, deep learning (CNNs, RNNs, GANs), and transformer models for NLP.
• Experience with algorithms like RAG, LoRA, and ensemble methods; optimizing for performance and scalability.
• Strong knowledge of data architecture, data pipelines, and cloud deployment (AWS, Azure, GCP).
• Proficiency in NLP libraries such as NLTK, spaCy, Hugging Face Transformers.

• Seniority level: Not Applicable
• Employment type: Contract
• Job function: Engineering and IT
• Industries: IT Services and Consulting

This job posting is active and not expired.

Revolutionize the Future of AI and Web3

Our mission is to create a groundbreaking suite of AI-powered products at the intersection of AI, blockchain, and gamification. We're looking for a highly skilled AI Engineer to help shape a transformative ecosystem that will redefine how communities engage with cutting-edge AI solutions in the Web3 era.

About the Role:

• AI Development and Integration: Design and implement an adaptive AI system that evolves dynamically through reinforcement learning and user interactions. Develop a sentiment analysis model to interpret and react to social media engagement (e.g., Twitter API). Ensure seamless integration of the AI system with blockchain data and token-driven mechanics.
• Blockchain and Token Mechanisms: Implement token-based actions (staking, feeding, training) that directly influence the AI pet's behavior, appearance, and attributes. Develop cross-chain compatibility to support multiple tokens and wrapped token mechanics. Incorporate trending token metrics (e.g., sentiment, trading volume) into the AI's decision-making processes.
• Community Engagement and Gamification: Build interactive mechanisms to allow users to influence the AI through community actions (e.g., feeding tokens, staking). Implement competitive gamification elements such as leaderboards and "pack formations" to encourage user participation. Collaborate with the product team to design community-driven governance models for shaping the AI pets' evolution and narrative.
• Scalability and Performance: Ensure the AI system is scalable and efficient to handle high volumes of user interactions. Optimize models for real-time response and seamless user experience.

Required Qualifications:

• Proven experience in developing AI/ML systems, with a focus on reinforcement learning and sentiment analysis.
• Strong programming skills in Python, TensorFlow, or PyTorch.
• Experience with blockchain technologies, including smart contracts, tokenomics, and interoperability.
• Familiarity with Web3 ecosystems and APIs (e.g., Twitter API).
• Hands-on experience with gamification or user engagement systems is a plus.

Preferred Qualifications:

• Knowledge of token-based mechanics and community-driven projects.
• Experience in building scalable AI systems integrated with real-time blockchain data.
• Possession for creating engaging, user-centric AI experiences.

About Us:

We are an exciting growing international start-up with ambitious goals of making headways in a revolutionary, multi-billion dollar industry.

We offer attractive compensation plus token allocations, scrum/agile environment, highly skilled engineering team, remote work in a timezone that corresponds well with the UAE time, paid vacation and public holidays.

Job Summary:

We are seeking a highly motivated and analytical AI Analyst to join our growing team. The AI Analyst will play a crucial role in bridging the gap between raw data, advanced AI models, and actionable business insights. This individual will be responsible for analyzing AI model performance, identifying trends, developing visualizations, and collaborating with data scientists, engineers, and business stakeholders to optimize AI solutions and drive strategic decision-making.

Key Responsibilities:

• AI Model Performance Analysis: Monitor, evaluate, and report on the performance of AI and machine learning models, identifying anomalies, biases, and areas for improvement.
• Data Analysis & Exploration: Conduct in-depth analysis of large datasets to uncover insights, prepare data for model training, and assess data quality.
• Insight Generation: Translate complex analytical findings into clear, concise, and actionable insights for non-technical stakeholders, supported by compelling visualizations.
• Collaboration & Communication: Work closely with Data Scientists, Machine Learning Engineers, Product Managers, and business units to understand requirements, define metrics, and communicate results effectively.
• Dashboard & Reporting Development: Design, develop, and maintain dashboards, reports, and data visualizations to track key performance indicators (KPIs) related to AI initiatives.
• Problem Identification: Proactively identify business problems and opportunities that can be addressed or enhanced through AI solutions.
• A/B Testing & Experimentation: Assist in designing and analyzing A/B tests and other experiments to evaluate the impact of AI model changes and new features.
• Documentation: Create and maintain comprehensive documentation for data processes, model performance, and analytical methodologies.
• Stay Updated: Keep abreast of the latest advancements in AI, machine learning, and data analytics tools and techniques.

Qualifications: Required:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Engineering, or a related quantitative field.
• 2+ years of experience in a data analyst, business intelligence, or similar analytical role, with exposure to AI/ML concepts.
• Strong proficiency in SQL for data extraction and manipulation.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker, Matplotlib, Seaborn).
• Solid understanding of statistical concepts and their application in data analysis.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.

Preferred:

• Master's degree in a relevant field.
• Familiarity with Python or R for data analysis, scripting, and statistical modeling.
• Experience with cloud platforms (e.g., OCI, AWS, Azure, GCP) and their data/ML services.
• Understanding of machine learning algorithms (e.g., regression, classification, clustering) and their evaluation metrics.
• Experience working in an agile development environment.

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work on exciting and impactful AI projects.
• A collaborative and innovative work environment.
• Professional development and growth opportunities.
• Flexible work arrangements (if applicable).
• Company-specific benefits, e.g., health insurance, paid time off, 401k/retirement plans, etc.)

Job Title: AI Visionary

We are seeking an exceptional AI visionary to spearhead the development of cutting-edge Generative AI and Machine Learning solutions across diverse use cases. As a key member of our team, you will be responsible for architecting and implementing scalable AI pipelines and frameworks using state-of-the-art technologies.

About the Role:

• 12+ years of experience in software engineering, with 8+ years specifically in AI/ML leadership.
• Hands-on expertise in Generative AI, including Agentic AI, Multi-Agent Systems, Langraph, Ontology-based Knowledge Graphs, LLM fine-tuning (e.g., GPT, BERT) and Prompt Engineering (e.g., Chain-of-Thought).
• Strong experience with Vector Databases, LangChain, Vector Embeddings, Foundation model training, Human-in-the-loop feedback, Multi-modal AI, NLP, Text Classification, Computer Vision.
• Proficient in Python, Jupyter Notebooks, NumPy, pandas, TensorFlow, PyTorch, Hugging Face.
• Practical experience with AWS ML Services, including SageMaker, Bedrock, Lambda, Cognito, CloudWatch, API Gateway, RDS (PostgreSQL).
• Knowledge of Vibe Coding techniques (AI-generated code from natural language prompts).
• Proven track record of delivering 5+ successful AI/ML projects, particularly in foundation models and multi-modal systems.
• Strong leadership and mentoring experience in Agile environments.
• Excellent communication skills to engage with technical and business stakeholders.
• AWS Machine Learning Certification is a plus.
• Willingness to relocate to Dubai if required by project needs.
• Passion for staying current with the latest AI/ML and GenAI trends and incorporating innovations into production-ready systems.

About You:

• Strategic thinker with vision for AI innovation.
• Effective leader and mentor with strong technical skills.
• Collaborative team player with excellent communication skills.

Benefits:

• Opportunity to work on cutting-edge AI projects.
• Collaborative and dynamic work environment.
• Professional growth and development opportunities.

How to Apply:

Please submit your resume and cover letter explaining why you are the ideal candidate for this role.

Are you a visionary looking to unlock the full potential of Artificial Intelligence in your organization?

We are seeking a highly skilled and ambitious leader to join our team as a Senior Consultant. In this exciting new role, you will be responsible for driving business growth through the strategic application of AI and Machine Learning technologies.

Your key responsibilities will include:

• Managing up to two projects alongside senior business leaders, ensuring timely delivery and compliance with regulatory requirements
• Enabling clients to define an AI-driven strategy that maximizes value from emerging technologies
• Helping clients realize business value through AI use-cases, including LLMs, GenAI applications, and MLOps implementation

To qualify for this role, you must have:

• A bachelor's degree and approximately 3-4 years of related work experience
• Demonstrated work experience of at least 2 years in a global consulting firm
• Practical experience in AI and ML development with Python, TensorFlow, PyTorch, and cloud platforms (Azure, AWS, GCP)
• Hands-on experience building and fine-tuning LLMs, working with frameworks like LangChain, HuggingFace, or OpenAI APIs
• Experience designing MLOps pipelines, AI solution architecture, and deploying AI models in production
• Exposure to GenAI use cases, such as document summarization, chatbots, intelligent assistants, and code generation
• Domain knowledge in one or more of the following: Government, Healthcare, Financial Services, Retail, Telecom
• Strong ability to translate complex business problems into AI solutions with measurable impact
• Knowledge of data privacy, ethical AI, and responsible AI principles

We offer a competitive compensation package where you'll be rewarded based on performance and recognized for the value you bring to our business. Plus, we offer:

• Continuous learning: You'll develop the mindset and skills to navigate whatever comes next
• Success as defined by you: We'll provide the tools and flexibility so you can make a meaningful impact your way
• Transformative leadership: We'll give you the insights, coaching, and confidence to be the leader the world needs
• Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs

This is a fantastic opportunity to accelerate your career and make a real difference in the world. If you're passionate about AI and ready to take on new challenges, please contact us today.

Key Requirements:

Ambitious leader with a passion for AI

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 vision.
• Ensure data quality and integrity and implement best practices for data preprocessing and feature engineering and model evaluation.
• Evaluate and select appropriate tools, technologies and frameworks for data analysis and modeling.
• Establish monitoring mechanisms to track project performance, identify areas for improvement, and report progress to stakeholders.
• Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products

Innovation 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 organization.
• Regularly evaluate the performance of AI projects and data science initiatives and provide detailed reports to senior management.
• Use data-driven insights to propose improvements and optimizations to existing processes

Data Privacy

• Ensure compliance with data privacy regulations and ethical guidelines throughout all data science activities.
• Implement data protection measures and maintain confidentiality of sensitive information.
• Identify potential risks and challenges associated with AI projects and data science initiatives
• Bachelor's or Master's Degree in Computer Sciences / Data Science/ AI
• Minimum 5-8 years of experience in a similar environment
• Industry certifications preferred
• Strong background in machine learning, statistical analysis, and data visualization
#J-18808-Ljbffr

Job Title: Artificial Intelligence Strategist

Role Description:

We are developing an AI ecosystem that enables businesses to deploy artificially intelligent solutions using our platform and applications. Our technology allows anyone to build AI solutions without writing code or needing a Data Science degree. Our ecosystem is world-changing across industries.

About the Role:

We are looking for highly strategic and data-driven sales & business development leaders to join a team democratizing AI and deploying incredible solutions across the region.

The ideal candidate will have a consultative, insight-based sales approach within the AI/ML sector; a proven track record of growing sales and exceeding annual quotas.

You will need to have a solid track record in a competitor organization and be willing to scale rapidly as we grow. This opportunity will appeal to ambitious individuals who want to be part of a high-growth company.

Our AI Strategists demonstrate skills associated with a high-performance sales culture – especially pipeline management, lead generation, contact network development, and delivering results against quotas.

Key Responsibilities:

• Build a strong understanding of AI/ML technology and related industry developments.
• Define and deploy AI/ML campaigns and work with product and dev teams to implement them.
• Identify opportunities, driving AI technology innovations and building strong relationships.
• Lead cross-functional teams to formulate, negotiate, and execute key partnership deals.
• Hands-on sales leader (

Job Summary:

We are seeking a highly motivated and analytical AI Analyst to join our growing team. The AI Analyst will play a crucial role in bridging the gap between raw data, advanced AI models, and actionable business insights. This individual will be responsible for analyzing AI model performance, identifying trends, developing visualizations, and collaborating with data scientists, engineers, and business stakeholders to optimize AI solutions and drive strategic decision-making.

Key Responsibilities:

• AI Model Performance Analysis: Monitor, evaluate, and report on the performance of AI and machine learning models, identifying anomalies, biases, and areas for improvement.
• Data Analysis & Exploration: Conduct in-depth analysis of large datasets to uncover insights, prepare data for model training, and assess data quality.
• Insight Generation: Translate complex analytical findings into clear, concise, and actionable insights for non-technical stakeholders, supported by compelling visualizations.
• Collaboration & Communication: Work closely with Data Scientists, Machine Learning Engineers, Product Managers, and business units to understand requirements, define metrics, and communicate results effectively.
• Dashboard & Reporting Development: Design, develop, and maintain dashboards, reports, and data visualizations to track key performance indicators (KPIs) related to AI initiatives.
• Problem Identification: Proactively identify business problems and opportunities that can be addressed or enhanced through AI solutions.
• A/B Testing & Experimentation: Assist in designing and analyzing A/B tests and other experiments to evaluate the impact of AI model changes and new features.
• Documentation: Create and maintain comprehensive documentation for data processes, model performance, and analytical methodologies.
• Stay Updated: Keep abreast of the latest advancements in AI, machine learning, and data analytics tools and techniques.

Qualifications: Required:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Engineering, or a related quantitative field.
• 2+ years of experience in a data analyst, business intelligence, or similar analytical role, with exposure to AI/ML concepts.
• Strong proficiency in SQL for data extraction and manipulation.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker, Matplotlib, Seaborn).
• Solid understanding of statistical concepts and their application in data analysis.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.

Preferred:

• Master's degree in a relevant field.
• Familiarity with Python or R for data analysis, scripting, and statistical modeling.
• Experience with cloud platforms (e.g., OCI, AWS, Azure, GCP) and their data/ML services.
• Understanding of machine learning algorithms (e.g., regression, classification, clustering) and their evaluation metrics.
• Experience working in an agile development environment.

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work on exciting and impactful AI projects.
• A collaborative and innovative work environment.
• Professional development and growth opportunities.
• Flexible work arrangements (if applicable).
• Company-specific benefits, e.g., health insurance, paid time off, 401k/retirement plans, etc.)

We are seeking talented individuals to fill various roles in our organization.

Job Location: India

Number Of Positions: 6

Work Experience: 8-10 years

We are looking for highly skilled professionals with expertise in machine learning and data science.

• We require candidates with experience in AI, Machine Learning, RL, data science or a related field.
• Candidates should have familiarity and proven experience in using LLMs/ fine-tuning LLMs.
• A Master's or PhD in AI, Data Science, Statistics, Computer Science, or a related field is preferred.
• Candidates should be proficient in programming languages such as Python or R.
• Candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred.

The ideal candidate will possess strong analytical and statistical modeling skills.

Experience with machine learning frameworks (e.g., sci-kit-learn, TensorFlow, PyTorch) is highly desirable.

• 5+ years of experience in AI, Machine Learning, RL, data science or a related field.
• Familiarity and proven experience in using LLMs/ fine-tuning LLMs.
• Master's or PhD in AI, Data Science, Statistics, Computer Science, or a related field.
• Proficient in programming languages such as Python or R. Candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred.
• Strong analytical and statistical modeling skills.
• Experience with machine learning frameworks (e.g., sci-kit-learn, TensorFlow, PyTorch).
• Proven track record of applying data science to solve real-world problems.
• Excellent communication and collaboration skills.

To apply, please submit your resume/CV, full name, email address, and phone number.

By submitting your profile, you agree to our Privacy and GDPR Policy.