Machine Learning Engineer (m / f / d)

Halian | Managed Services, Recruitment Agency & Contract Staffing; Abu Dhabi; On-site; AED 200,000 - 300,000; Full time

Job summary

A leading recruitment agency in Abu Dhabi seeks an experienced AI/ML professional to drive innovation in financial services. You'll design and deploy advanced ML models, build generative AI solutions, and conduct A/B testing. Ideal candidates have over 5 years of relevant experience and strong programming skills in Python. The company values diversity and encourages applications from all qualified candidates.

Qualifications

• Minimum 5 years in AI / ML roles.
• Proven ability to design and deploy advanced models.
• Strong background in model experimentation and optimization.

Responsibilities

• Design, develop, and deploy advanced ML models.
• Build and fine-tune generative AI models.
• Conduct A/B testing and optimization.

Skills

Machine Learning Model Development

Generative AI Models

A/B Testing

Prompt Engineering

Cloud Platforms (Azure ML, AWS SageMaker)

Python Programming

Tools

Azure ML

AWS SageMaker

Docker

Job description

Overview

Join our analytics team at a premier Abu Dhabi bank to drive AI / ML innovation in financial services, developing cutting-edge solutions that enhance customer experiences and optimize business operations.

Key Responsibilities

• Design, develop, and deploy advanced ML models for banking applications
• Build and fine-tune generative AI models and Retrieval-Augmented Generation (RAG) systems for enterprise use
• Conduct A / B testing and model optimization using industry best practices
• Implement prompt engineering strategies for LLM effectiveness

Qualifications

Experience :

• Minimum 5 years in AI / ML roles
• Proven ability to design, develop, and deploy advanced machine learning models for diverse, real-world business applications
• Strong background in model experimentation, validation, and performance optimization using industry-standard techniques
• Hands-on experience conducting A / B testing and deriving statistically sound insights to inform model and product decisions

Technical Skills :

• Deep expertise in building and fine-tuning generative AI models tailored to specific use cases and business objectives
• Practical experience implementing Retrieval-Augmented Generation (RAG) and agentic workflows in production environments
• Skilled in prompt engineering—designing, testing, and refining prompts to maximize the effectiveness of large language models (LLMs)
• Proficient in developing and managing end-to-end machine learning pipelines using platforms such as Azure ML or AWS SageMaker
• Solid understanding of cloud-based data storage and processing, including Azure Blob Storage, Tables, Queues, and Amazon S3
• Experience deploying and integrating Azure Foundation Models and Azure OpenAI services into enterprise applications
• Familiarity with containerization and DevOps practices, including Docker and CI / CD pipelines, for scalable and automated deployments
• Advanced programming skills in Python, with a focus on clean, efficient, and maintainable code for AI / ML development

About Halian

Halian Group : With over 28 years of experience, we have come to understand that innovation is the only way to provide agile, practical solutions that transform businesses and careers. Our resourcing and smart services help you to realize tomorrow’s potential. Discover the amazing things possible when you bring the right people and the right technologies together.

At Halian, we recognize that diversity, equity, and inclusion (DEI) are essential to building high-performing teams for our clients. We are committed to connecting organizations with top talent from all backgrounds, ensuring that every individual feels valued, respected, and empowered to contribute their unique perspectives. We encourage applications from all qualified candidates, regardless of race, gender, disability, or any other characteristic that makes them unique. By fostering diverse and inclusive workplaces, we help our clients drive innovation, enhance collaboration, and better reflect the communities they serve.