Description

Build and manage infrastructure to move machine learning models from research to production.

This role is on-site.

Responsibilities

• Develop and deploy machine learning models into production environments.
• Build and maintain data pipelines for model training and inference.
• Translate research prototypes into scalable, production-ready solutions.
• Implement MLOps solutions for model monitoring, retraining, and versioning.

Required Skills

• 3+ years of experience in machine learning engineering.
• Strong proficiency in Python.
• Experience with TensorFlow.
• Experience with PyTorch.
• Hands-on experience with AWS.
• Hands-on experience with Azure.
• Any Graduate degree.

Key Skills

Education

Any Graduate