194 AI Solutions jobs in the United Arab Emirates

We are seeking a highly skilled AI engineer to contribute to the development of AI-powered solutions. The ideal candidate will have expertise in Python programming, REST API development, cloud infrastructure, and AI model integration.

• Key Responsibilities:
• Design, implement, and maintain end-to-end ML pipelines using Databricks notebooks, Delta Lake, and MLflow for experiment tracking, model versioning, and lifecycle management.
• Leverage Databricks AutoML for rapid prototyping and efficient model selection in early-stage experimentation.
• Implement ML model deployment workflows using Databricks Jobs and manage serving endpoints with low-latency requirements.
• Design, develop, and deploy ML and GenAI solutions using Python and LLM frameworks.
• Build and deploy ML production systems, contributing to their design and ongoing maintenance.
• Develop and maintain ML pipelines, manage the data lifecycle, and ensure data quality and consistency throughout.
• Assure robust implementation of ML guardrails and manage all aspects of service monitoring.
• Develop and deploy accessible endpoints, including web applications and REST APIs, while maintaining steadfast data privacy and adherence to security best practices and regulations.
• Collaborate with cross-functional teams, including architects, data engineers, analysts, and business leaders, to deliver robust data solutions.
• Write and maintain infrastructure as code using YAML, and implement and manage CI/CD pipelines for ML workflows.
• Ensure model governance and compliance using protocols like Model Context Protocol and A2A Protocol.
• Produce comprehensive documentation, including architectural diagrams, data flow maps, runbooks, and lineage tracking artifacts.
• Continuously improve ml pipeline efficiency by identifying performance bottlenecks and reducing compute/storage costs.
• Containerize applications using Docker and manage deployments on Azure.
• Implement DevOps best practices in the data lifecycle, including CI/CD for pipelines, automated testing, and version control.
• Facilitate internal knowledge sharing via technical workshops, peer reviews, and training sessions for continuous team development.

Requirements

• A bachelor's degree in computer science, information technology, or a related field is required; a master's degree is preferred but not mandatory.
• Minimum age 21.

Experience

• A minimum of 3-5 years of hands-on experience in Python software development with a focus on modular, scalable, and efficient coding for AI/LLM-based applications.
• Proven track record of building, scaling, and leading complex ML engineering platforms in enterprise environments.
• Strong experience designing and deploying cloud-native ML solutions on Azure Databricks, with an emphasis on scalable model training, model management using MLflow, and real-time inference.
• Demonstrated success in implementing AI agents or autonomous workflows using tools such as LangGraph, CrewAI, or similar frameworks.
• Experience in real-time or near-real-time inference systems and low-latency model serving.

Skills/Knowledge

• Hands-on experience with Databricks Machine Learning environment, including MLflow tracking, model registry, and production deployment workflows.
• Proficient in using Databricks Feature Store, AutoML, and real-time model inference using Databricks Serving or external endpoints.
• Familiarity with Databricks Unity Catalog and access control for secure ML asset management.
• Advanced proficiency in Python and LLM, with strong skills in performance tuning, modular coding, and automation scripting.
• Experience deploying GenAI & related frameworks (e.g., LangChain, LLMOps, PaLM) use cases in Snowflake ecosystem.
• Develop, optimize, and maintain scalable machine learning workflows and models using Databricks notebooks and MLflow.
• Understanding of how MCPs can complement structured Snowflake data to deliver rich narrative insights, automated clinical summaries, and patient engagement tools.
• Build AI-driven applications using Snowflake Cortex, Document AI, and Snowpark ML.
• Integrate GenAI tools like OpenAI GPT, Claude (Anthropic), and xAI's Grok to enhance unstructured data processing and generate intelligent summaries or decision recommendations.
• Experience in experimentation, feature engineering, Model registration, deployment, and monitoring, using AutoML cost and quota management.
• Strong written and verbal communication skills in English, with the ability to influence, mentor, and align technical teams and stakeholders.
• Candidates with coursework or academic research in deep learning, reinforcement learning, or natural language processing are highly encouraged.

Certifications

• Databricks Certified Machine Learning Professional
• Snowflake SnowPro Core Certification
• Azure Data Scientist Associate

Work Conditions

This is an office-based position with regular working hours.

">Machine Learning Engineer ">

As a Machine Learning Engineer, you will be responsible for designing, implementing and maintaining AI-powered solutions that drive business growth and innovation. Our team is looking for a highly skilled professional with expertise in Python programming, REST API development, cloud infrastructure, and AI model integration.

Unlocking Business Value through AI Engineering

As an AI Software Engineer, you will play a critical role in designing and building scalable AI solutions for businesses. You will work on integrating large language models, automating workflows with generative AI, and embedding AI capabilities into business processes.

• Manage multiple projects alongside senior business leaders to deliver AI-driven business strategies that maximize value from emerging technologies.
• Help clients realize business value through AI use cases, including LLMs, GenAI applications, and MLOps implementation.

This role requires strong technical skills in AI and ML development, as well as practical experience in cloud platforms and data privacy principles.

Key Responsibilities:

• Design and implement MLOps pipelines and AI solution architecture.
• Deploy AI models in production and ensure timely delivery in compliance with regulatory requirements.
• Collaborate with data scientists, engineers, and business leaders to align AI-driven solutions with strategic goals.

Required Skills and Qualifications:

• Bachelor's degree in Computer Science or related field.
• Approximately 3-4 years of related work experience.
• 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.

What We Offer:

• Competitive compensation package based on performance.
• Continuous learning opportunities to develop skills and navigate the future.
• Success defined by you, with tools and flexibility to make a meaningful impact.
• Diverse and inclusive culture, embracing individuality and empowering voice.

We're a team of researchers, engineers, and designers who are passionate about developing AI solutions that drive magical experiences.

We believe our work is instrumental to the widespread adoption of AI. Each member contributes to increasing the capabilities of our models and driving value for our customers.

• Plan and execute large-group projects from ideation to production.
• Mentor a distributed team in subject matter expertise, identifying opportunities and gaps in existing models.
• Collaborate with product teams to develop solutions and engage with partner organizations.
• Work closely with legal teams on patent preparation for developed IP.

You will work directly with customers to understand their problems and design solutions using Large Language Models.

In this role, you'll have the opportunity to work on various projects, from content generation to semantic search, RAG, and agents. You'll be responsible for contributing to the growth of our models and driving business value through your expertise.

If you're passionate about AI and enjoy collaborating with cross-functional teams, we encourage you to apply for this position.

We're looking for an experienced professional who can join our team and help us achieve our goals.

We are seeking a visionary Machine Learning Engineering Manager to spearhead the development and deployment of cutting-edge AI solutions. The ideal candidate will have expertise in leading cross-functional teams, researching and implementing innovative machine learning techniques, and mentoring junior team members.

• Develop and execute strategic plans for AI-driven projects, ensuring timely delivery and optimal performance.
• Collaborate with data scientists and engineers to design, implement, and deploy machine learning models and algorithms.
• Mentor and train junior team members in machine learning best practices and methodologies.
• Stay up-to-date with industry trends and advancements in machine learning and AI.

• Bachelor's degree or higher in Computer Science, Data Science, Statistics, or a related field.
• 5+ years of experience in machine learning engineering, including leadership roles.
• Proven track record of delivering successful AI-driven projects.

• Expertise in deep learning, natural language processing (NLP), and computer vision.
• Experience with popular machine learning frameworks and libraries, such as TensorFlow, PyTorch, and scikit-learn.
• Familiarity with cloud platforms, such as AWS, Azure, and GCP.
• Strong knowledge of software development principles and practices.

Transforming web experiences through scalable machine learning solutions is a key focus for our team at Camb.ai. Collaborating closely with scientists, we optimize pipelines to reshape the digital landscape.

We are pioneering innovative AI-driven technologies, including dubbing, localization, speech synthesis, and neural machine translation. Our cutting-edge models achieve state-of-the-art benchmarks in zero-shot performance

Award-winning AI consultants sought to lead cutting-edge projects and drive business growth. Join a dynamic team of data science professionals and contribute to the development of innovative solutions.

The successful candidate will be responsible for navigating complex data landscapes, identifying key business issues, and providing strategic guidance on how data science can transform the organization.

• Develop and implement Artificial Intelligence strategies, leveraging big data and modern information management practices.
• Analyzing structured and unstructured data sets, building predictive models, and advising on data mining best practices.
• Designing and applying data analysis algorithms, including machine learning, natural language processing, and sentiment analysis.
• Leveraging big data to process disparate data sets and exceed business requirements.
• Leading large-scale client engagements, fostering relationships with clients, and delivering high-quality work products within expected timeframes.
• Monitoring progress, managing risk, and ensuring stakeholders are informed about progress and expected outcomes.
• Providing directional guidance on data technology, data models, and data storage formats.
• Managing client expectations and staying abreast of current business and industry trends.

Education: Bachelor's degree in Engineering or a related field.

Experience: At least 6 years of relevant experience.

We are an equal opportunities employer and welcome applications from all qualified candidates. Disclaimer: This platform is only for job seekers and employers to connect. Applicants are advised to research the prospective employer independently.

Job Title: AI Developer

Looking for a talented individual to join our team as an AI Developer. This is an exciting opportunity to work on cutting-edge AI projects and contribute to the development of innovative solutions.

• Design and build end-to-end AI solutions, focusing on large language models (LLMs) and agentic AI capabilities.
• Develop and implement AI/ML algorithms using Python libraries such as NumPy, Pandas, scikit-learn, TensorFlow, and PyTorch.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.

Requirements:

• Strong background in Python programming.
• Experience with containerization (Docker) and orchestration (Kubernetes/OpenShift).
• Familiarity with GPU acceleration (e.g., NVIDIA CUDA).
• Exposure to MLOps tools for CI/CD.
• Strong understanding of data engineering (ETL, data pipelines, data preparation).
• Experience working with LLMs and NLP frameworks, with an interest in agentic AI.

Nice to Have:

• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to articulate complex AI/ML concepts to diverse audiences.

Contract position available.

Engineering and Information Technology Industry.

Active job posting.

Job Overview

We are seeking an accomplished software developer to join our team and contribute to the development of cutting-edge AI solutions.

Key Responsibilities:

• Design and develop high-quality software applications using C#, adhering to coding standards and best practices.
• Collaborate with product managers, data scientists, and other stakeholders to gather and analyze software requirements.
• Translate software requirements into technical specifications and designs.
• Write clean, efficient, and maintainable code to implement software solutions.
• Conduct thorough unit testing to ensure the reliability and quality of the software.
• Debug and resolve software defects and issues in a timely manner.
• Collaborate with other software engineers to review code and provide constructive feedback.
• Participate in code reviews and contribute to the improvement of coding standards and practices.
• Stay up to date with the latest technologies, trends, and best practices in C# development.
• Troubleshoot and resolve software performance and scalability issues.

Requirements:

• Document software designs, technical specifications, and implementation details.
• Assist in the deployment and configuration of software applications.
• Drive improvements in all areas, including data quality, testing, and CI.
• Provide technical guidance and mentorship to junior software engineers.

Benefits:

This role offers a unique opportunity to work on diverse projects, collaborate with experienced professionals, and contribute to the growth and success of our organization.