ML Ops Engineer

Requirements:

• Bachelors/Masters in Computer Science, Software Engineering, Mathematics, or equivalent.
• Excellent Python programming skills.
• 2+ years' experience in backend or infrastructure development on AWS.

Responsibilities:

Practical experience in tools and frameworks (TensorFlow, PyTorch, Keras) to provide advanced speech, image, and video analytics. Our ML pipelines use AWS Lambda and Docker for model inference and AWS StepFunctions for orchestration.

As an MLOps Engineer, you will be working on implementing industry best practices.