ML Engineer – Production AI Systems (Abu Dhabi)

Epergne Solutions; Abu Dhabi; On-site; AED 250,000 - 420,000; Full time

Job summary

Epergne Solutions in Abu Dhabi, UAE, is seeking a Machine Learning Engineer to design, develop and deploy scalable ML/AI solutions for complex business problems. The role covers production-grade ML systems, end-to-end pipelines, model deployment, and real-time/batch inference, with AWS/Azure deployment and CI/CD/MLOps practices.

A strong background in Python and ML frameworks is required along with a CS/engineering degree.

Qualifications

• 3-7 years of production-grade ML system experience.
• Strong knowledge of supervised/unsupervised learning, NLP, CV, or Generative AI.
• Experience with Python and modern ML frameworks.

Responsibilities

• Work with large and complex datasets to develop data-driven solutions.
• Develop, train, fine-tune, and optimize ML/AI models.
• Build end-to-end ML pipelines for data ingestion, training, validation, deployment.
• Develop real-time and batch inference solutions.
• Deploy ML solutions on AWS or Azure.

Skills

Production-grade ML systems

Data-driven solution design

End-to-end ML pipelines

CI/CD & MLOps

Model serving & APIs

Python & ML frameworks

AWS/Azure deployment

Education

Bachelor's degree in CS/Engineering

Master's/PhD in CS or related field

Tools

Docker

Kubernetes

CI/CD tools

MLflow/Kubeflow

FastAPI/Flask

Job description

Epergne Solutions in Abu Dhabi, UAE, is seeking a Machine Learning Engineer to design, develop and deploy scalable ML/AI solutions for complex business problems. The role covers production-grade ML systems, end-to-end pipelines, model deployment, and real-time/batch inference, with AWS/Azure deployment and CI/CD/MLOps practices.

A strong background in Python and ML frameworks is required along with a CS/engineering degree.