Machine Learning Engineer

15 hours ago


Abu Dhabi United Arab Emirates UAE Halian Full time
  • Design, develop, and deploy advanced ML models for banking applications
  • Build and fine-tune generative AI models and RAG systems for enterprise use
  • Conduct A/B testing and model optimization using industry best practices
  • Develop end-to-end ML pipelines using Azure ML/AWS SageMaker
  • Implement prompt engineering strategies for LLM effectiveness
  • 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


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