Machine Learning Engineer

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.

Key Responsibilities

• 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.

• Build production grade end-to-end ML pipelines, including data ingestion, transformation,

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.

Qualifications / Experience

• (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 Educational 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