334 Microsoft AI jobs in the United Arab Emirates

Make your mark for the innovative Artificial Intelligence (AI) program at Boskalis and contribute at the forefront of strategically integrating AI into our operations to drive efficiency. Our AI Strategy is designed to tackle business challenges within strategically defined themes on our assets dredging and offshore vessels and our primary process our tenders and projects.
To achieve this ambition we have positioned a new AI department of 21 people at a corporate level. The department is working on our AI portfolio created by our senior business leaders and validated by our Board of Management. You will collaborate with cross-functional teams to develop and implement (Gen)AI solutions that fulfil business needs.
This position will require a blend of technical expertise and a desire to understand our business needs. An enthusiastic motivation drive and willingness to continuously keep learning. We are looking for someone with proven experience in LLM integration and who remains curious about new developments.

Your responsibilities as an AI Engineer:

Focused on developing building deploying and implementing AI models (e.g. LLM and machine learning techniques) and solutions for various projects. Works closely together with the business data and domain expert and the Business Data engineer.

• Develop build and deploy. AI solutions using Large Language Models (LLMs) including integration with vector databases Retrieval-Augmented Generation (RAG) pipelines and prompt engineering.
• Apply frameworks for building scalable and modular AI solutions.
• Take ownership of the quality and reliability of AI solutions.
• Collaborate with diverse stakeholders (including vessel-related) to understand business requirements translate them into technical AI solutions and ensure effective communication to maintain alignment and progress.
• Continuously learn and adapt to new technologies and methodologies in the (Gen)AI field.

Your qualities and experience
You can move ahead as an AI engineer (5 years) if you have:

• Hands-on experience and/ or certifications using Databricks and/or Azure AI foundry for LLM utilization data processing exploration and AI development.
• Strong skills in Python in the context of building and integrating LLM-based applications including the use of vector databases (such as FAISS Pinecone or Azure Cognitive Search).
• Familiarity with frameworks like LangChain/LangGraph Semantic Kernel Pydantic and Model Context Protocol (MCP).
• Experience in setting up RAG pipelines to combine contextual business data with generative AI. Experience with Agile methodologies particularly Scrum.
• A good command of written and spoken English.

The following competences are also important for the AI engineer:

• Strong communication and collaboration skills and the ability to independently interact with end-users.
• Empathy for the business context: understanding the end-users use case and actively thinking about how AI can deliver value in the short term.
• Ability to work independently on your own use case and translate technical possibilities into concrete solutions for business.
• A mindset geared towards continuous learning and curiosity for tackling new challenges.
• Ability to handle feedback and reset your course if needed.

If you are excited about the opportunity to work on innovative AI projects and have the drive to make a significant impact we would like to hear from you. Explain to us why your background and expertise make you the ideal candidate for our AI program and join us in shaping the future of Boskalis. Apply now and help us shape the future of our industry.

Qualifications :

What you can expect

• Career opportunities: We challenge you every day to get better. Together we realize your full personal and professional career by creating development opportunities.
• Warm welcome: We warmly welcome our new colleagues so they feel at home as soon as possible. During your online onboarding program we give you all the ins and outs of Boskalis
• Career development: Plenty of opportunities to realize your full potential. Challenge yourself with (online) courses in our Boskalis academy.

Extra information

• Your team:Join the Corporate AI department a young and diverse group of 21 AI engineers AI delivery leads AI data engineers and change coordinators.
• Where you will work:You will work from our beautiful office in Abu Dhabi.
• Full/part-time job:The position of AI Engineer is full time.
• Next steps:Apply easily by completing the online application form. Interviews are held online or in the office. Once its clear were a good match well make you an offer and look forward to welcoming you to the company.

Additional Information :

Want to know more

We are more than happy to answer your questions about the position of AI Engineer. Please contact Arshad Asharaf corporate Recruiter via our career page.
InterestedPlease apply by filling in your details and by uploading your cover letter and CV.

Disclaimer for Recruiters and Recruitment Agencies

We appreciate your interest in our vacancies and understand that your candidate might be enthusiastic about this exciting opportunity. However our recruitment process is not structured this way at Boskalis we handle recruitment ourselves. Therefore we do not accept unsolicited applications or CVs from recruitment agencies. Any submission will be treated as a direct application.

LI-AASH

Remote Work :

No

Employment Type :

Full-time

Build the Foundation of AI Engineering

As a senior data engineer, you will be responsible for building robust and efficient data pipelines that integrate with large language models. Your expertise in Python, pandas, and text processing tools will be essential in cleaning, normalizing, and preparing data for finetuning.

The role requires experience in managing datasets and object storage, as well as a solid understanding of LLM data constraints. You will work closely with the development team to ensure seamless integration and optimal performance.

1. 10 years experience in Data Engineering role
2. 2 years experience in AI-adjacent data role
3. Proficiency in Python, pandas, and text processing tools
4. Familiarity with tokenization libraries (HuggingFace Tokenizers, SentencePiece)
5. Experience managing datasets and object storage (MinIO, NFS)
6. Understanding of LLM data constraints (context windows, formatting, prompt injection)

This is a challenging and rewarding role that offers opportunities for growth and professional development. If you are passionate about AI engineering and have the skills and experience required, we encourage you to apply.

Join to apply for the AI Engineer (LLM & Data Applications) role at Dicetek LLC

Join to apply for the AI Engineer (LLM & Data Applications) role at Dicetek LLC

We are looking for a skilled and motivated AI Engineer to join our team, with a strong focus on developing applications using Large Language Models (LLMs) and related technologies. The ideal candidate will have experience working with modern LLM frameworks, prompt engineering, vector databases, and structured data integration. You will play a key role in designing, building, and deploying intelligent solutions that interact with unstructured and structured data for advanced query and visualization use cases.

Key Responsibilities

• Design and develop AI-driven applications leveraging LLMs (OpenAI, Hugging Face models, or local LLMs)
• Build and optimize workflows using frameworks like LangChain, LlamaIndex, or Haystack
• Engineer effective prompts for various use cases, ensuring accuracy and consistency
• Integrate text-to-SQL models to convert natural language queries into database operations
• Work with vector databases (FAISS, Chroma, Pinecone) for semantic search and retrieval tasks
• Implement document processing pipelines including PDF ingestion, text chunking, and embedding generation
• Generate interactive data visualizations using Plotly, Vega-lite, or JSON-based charting tools
• Collaborate with data engineers, analysts, and product teams to deliver robust AI solutions
• Maintain clean, modular, and scalable Python code
  
  

• Strong experience with LLM frameworks (e.g., LangChain, LlamaIndex, Haystack)
• Familiarity with LLM APIs such as OpenAI, Cohere, or local models via Hugging Face
• Hands-on experience with prompt engineering and model fine-tuning (preferred)
• Proficiency in vector databases: FAISS, Pinecone, or Chroma
• Solid understanding of document processing: text chunking, embedding strategies, and retrieval pipelines
• Knowledge of text-to-SQL model integration and query optimization
• Experience with data visualization tools: Plotly, Vega-lite, or equivalent
• Strong command of SQL and Python
• Excellent problem-solving skills and ability to work in a fast-paced environment

• Seniority level Not Applicable

• Employment type Contract

• Job function Engineering and Information Technology
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at Dicetek LLC by 2x

Dubai, Dubai, United Arab Emirates 15 hours ago

We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Seeking a visionary AI Engineer to develop innovative AI, blockchain, and gamification technologies for a revolutionary Web3 ecosystem with Entangle.

Description

Entangle is reshaping the blockchain landscape with advanced interoperability and data connectivity solutions. By creating a seamless framework for DApps to interact across various networks, we're solving one of blockchain's biggest challenges: the barriers between fragmented ecosystems. Our Photon Messaging Protocol, universal data feeds, and customizable agent network bring high-performance, scalable infrastructure to developers in the DeFi space and beyond.

We are on a mission to revolutionize the AI and Web3 space by building a groundbreaking suite of AI-powered products. We're seeking a visionary AI Engineer to join our dynamic team of 10+ AI specialists and drive the development of innovative technologies at the intersection of AI, blockchain, and gamification. This is a rare opportunity to help shape a transformative ecosystem that will redefine how communities engage with cutting-edge AI solutions in the Web3 era.

Key Responsibilities:

1. 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.
2. 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.
3. 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.
4. 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. Passion for creating engaging, user-centric AI experiences.

What we offer:
Exciting growing international start-up with ambitious goals of making headways in a revolutionary, multi-billion dollar industry
Pay in USDT
Scrum/agile environment
Highly skilled engineering team
Attractive compensation plus token allocations
Remote work in a timezone that corresponds well with the UAE time
Paid vacation and public holidays.

Interested?

Entangle is reshaping the blockchain landscape with advanced interoperability and data connectivity solutions. By creating a seamless framework for DApps to interact across various networks, we’re solving one of blockchain’s biggest challenges: the barriers between fragmented ecosystems. Our Photon Messaging Protocol, universal data feeds, and customizable agent network bring high-performance, scalable infrastructure to developers in the DeFi space and beyond.

We are seeking a motivated and talented Junior ML/AI Engineer to join our dynamic team of 10+. The ideal candidate will have a strong foundation in Python programming, experience with machine learning frameworks, and a passion for artificial intelligence. This role offers an excellent opportunity for professional growth and the chance to work on innovative projects that leverage cutting-edge technologies.

Key Responsibilities

Develop and Maintain AI Models: Collaborate with senior engineers to design, implement, and optimize machine learning models using PyTorch and TensorFlow.

Data Processing: Utilize ETL processes to gather, clean, and preprocess data using tools like Pandas and NumPy to ensure high-quality input for machine learning algorithms.

Reinforcement Learning: Engage in projects involving reinforcement learning (RL) techniques, contributing to the development of intelligent systems.

Testing and Validation: Conduct experiments to validate model performance and improve accuracy through iterative testing.

Collaboration: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to integrate AI solutions into applications.

Documentation: Maintain thorough documentation of code, processes, and project developments to ensure clarity and facilitate knowledge sharing.

Core Skills

Programming Languages: Proficient in Python 3.x, with a solid understanding of object-oriented programming principles.

Data Manipulation: Experience with ETL processes and libraries such as Pandas and NumPy for data analysis and manipulation.

Machine Learning Frameworks: Familiarity with PyTorch, TensorFlow, Gym, or similar frameworks for developing AI models.

Reinforcement Learning: Understanding of reinforcement learning concepts and their application in real-world scenarios.

Prompting Common AI Tools: Experience in using common AI tools effectively by crafting detailed prompts that lead to high-quality outputs. Familiarity with techniques such as sequential prompting, role-playing personas, and iterative refinement of prompts.

Experience with AI tools' APIssuch as ChatGPT/claude api.

Nice-to-Have Skills

Blockchain Knowledge: Familiarity with blockchain technology as a crypto user; understanding of its applications in AI is a plus.

Natural Language Processing (NLP): Experience with NLP techniques, large language models (LLMs), and libraries such as Hugging Face Transformers.

Qualifications

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field

Strong analytical skills with a problem-solving mindset.

Ability to work independently as well as collaboratively within a team environment.

Excellent communication skills to convey technical concepts effectively.

What we offer:

Exciting growing international start-up with ambitious goals of making headways in a revolutionary, multi-billion dollar industry

Pay in USDT

Scrum/agile environment

Highly skilled engineering team

Attractive compensation plus token allocations

Remote work in a timezone that corresponds well with the UAE time

Paid vacation and public holidays.

We are looking for an Applied AI Engineer, with a background in building and maintaining production ML systems, to join our team. You will have a unique opportunity to work on cutting-edge AI projects, collaborate with experienced AI/ML engineers, and make a real impact on the world.

Zendy.io , a product of Knowledge E, is a massive online library created to provide individuals with affordable access to a wealth of information in the form of journals, e-books, magazines and other content mediums. 

The ideal candidate will have a deep understanding of machine learning and natural language processing, as well as experience with developing and maintaining production-grade AI systems. Reporting directly to our Chief Technology Officer, some of your responsibilities will include:

• Building and maintaining robust production ML systems. Ensuring systems are reliable, scalable, and capable of handling real-time data processing and inference.
• Utilising AWS SageMaker for model deployment, and monitoring while leveraging AWS services to create scalable and cost-effective ML solutions.
• Applying solid software engineering principles in the development and maintenance of ML systems and writing clean, maintainable, and efficient code.
• Developing and deploying models using ML frameworks such as Huggingface, PyTorch, TensorFlow, and scikit-learn, ensuring models are well-integrated into the production environment
• Working closely with data scientists, software engineers, and other stakeholders to implement and optimise ML models

You are:

An experienced professional with a continuous learning mindset and the ability to stay up to date with the latest advancements in AI, machine learning, and software engineering technologies. You have a proven track record of deploying and optimising machine learning models in production environments.

Minimum Job Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field. A master’s degree or equivalent experience is preferred
• A minimum of 3-5 years of professional experience in applied AI engineering, machine learning, or a related field
• Strong background in building and maintaining production ML systems.
• Proficiency in Python and familiarity with ML frameworks: Huggingface, PyTorch, TensorFlow, and scikit-learn
• Solid understanding of AWS SageMaker and other AWS services related to machine learning
• Strong foundation in software engineering, including experience with coding, testing, and version control
• Experience in optimising latency and throughput of machine learning systems and GPU workloads
• Excellent problem-solving skills and attention to detail
• Ability to work in a collaborative, fast-paced environment
• Strong written and verbal communication skills

Desired Extras

• Knowledge of retrieval-augmented generation (RAG) techniques
• Rust programming knowledge

How to apply:
To submit your application, please email a copy of your CV and a cover letter, detailing why you are interested in the position to 

About Zendy

Zendy has been created with an aim of radically facilitating access to academic literature. It addresses the key challenges that we as researchers, academics, students and other professionals face through traditional ways of accessing academic and peer-reviewed content.

Zendy is developed by Knowledge E in a growing collaboration with academic researchers, students, institutions and publishers. Join us on the journey, and reach out to us if you share the same vision and would like to contribute in any way.

To learn a bit more about Zendy and why we exist make sure to check out zendy.io/about

Job Opportunity

We are seeking a highly skilled Technical Architect with expertise in Generative AI and Machine Learning to lead the design, development, and deployment of cutting-edge AI solutions. This role requires someone who thrives on building production-grade AI systems, not just strategizing.

Key Responsibilities:

• Define and lead the architectural direction for GenAI/ML systems across multiple business domains.
• Design, develop, and implement scalable and secure GenAI infrastructure in production environments.
• Lead integration of AI features into enterprise-grade web and mobile applications.
• Architect systems using large language models, RAG pipelines, embeddings, vector databases, and agentic frameworks such as LangChain, LangGraph, and other open-source frameworks.
• Operationalize AI models using cloud-native services like AWS or Azure.
• Collaborate with ML and data teams to fine-tune models, implement prompt strategies, and optimize workflows.
• Establish best practices for DevOps/MLOps, performance monitoring, and continuous delivery of AI services.
• Assist leadership team on AI strategy, roadmaps, and technical decisions to both technical teams and business stakeholders.
• Evaluate emerging technologies and recommend scalable, production-ready GenAI tools and patterns.

• 10-12 years of engineering experience, including 8+ years in AI/ML systems.
• Minimum Bachelor's degree in Engineering discipline.
• Expertise in LLMs (Azure OpenAI, Ollama, etc.), embeddings, vector search, and multi-agent orchestration.
• Hands-on experience with LangChain, LangGraph, LangSmith, OpenAI SDK, CrewAI, or other popular open-source frameworks.

• This is a hands-on role - you must have direct experience in designing, building, and deploying GenAI applications.
• Proven success in taking GenAI/LLM solutions to production, demonstrating real-world value and business impact.
• Strong proficiency in Python, streamlit, flask/fastapi frameworks. Solid understanding of Data science, Machine learning frameworks.
• Production deployment experience on AWS/Azure.
• Strong database knowledge (PostgreSQL, MySQL, MongoDB, vector databases like Pinecone, Weaviate, Chromadb, etc).
• Experience in natural language processing (NLP) domains including NLU, NER, text classification, etc.
• Familiarity with popular NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers, Flair - beyond just LLMs).
• Exposure to computer vision and speech processing frameworks (e.g., OpenCV, TorchVision, Whisper, SpeechBrain, DeepSpeech).
• Excellent communication and presentation skills in multi-disciplinary team.

• Industry experience in: Real Estate, Retail.
• Domain familiarity with: Finance, Procurement, HR, and other support functions.
• Background in large-scale enterprise systems with complex workflows.
• Prior experience in multi-agent systems, knowledge graphs.