Machine Learning Engineer

This position is on site in Abu Dhabi, relocation is required.

In this position you will design and develop scalable machine learning models and AI-driven solutions to address complex business challenges and enhance decision-making processes.

• Work with large and complex data sets to solve challenging business problems.
• Efficient training and deployment of standard ML, NN, and Agentic models.
• Develop, train, and optimize machine learning models using state-of-the-art algorithms and
• frameworks.
• model training, validation, and deployment.
• Automate workflows for model training, testing, and deployment using CI/CD pipelines and
• MLOps tools.
• Collaborate with cross-functional teams to integrate models into applications and deliver
• end-to-end solutions.
• Finetune SLMs/LLMs and build complex AI architectures.

• (3-7) years of experience in building production grade, scalable AI systems.
• Expert in supervised/unsupervised learning, deep learning, NLP, computer vision, or generative AI (e.g., LLMs).
• Strong ML system architecture skills.
• Understanding of model serving, API development (FastAPI, Flask), and optimizing model performance for real-time or batch inference.
• General Knowledge of Docker, Kubernetes, CI/CD pipelines, and tools like MLflow/Kubeflow for model lifecycle management (MLOps).
• Comfortable with deploying models on AWS or Azure.
• Minimum Education al qualifications:
  Bachelor’s degree in Computer Science, Engineering, or related field required.
• Preferred Education qualifications:
  Master or PhD in Computer Science or a related field