Description

You will own the end-to-end automation and deployment of machine learning workflows.

This role is hybrid.

Responsibilities

• Build and maintain CI/CD pipelines for ML models.
• Containerize ML services using Docker and orchestrate them with Kubernetes.
• Deploy and manage ML infrastructure on AWS.
• Automate model training and deployment processes.

Required Skills

• 12+ years of professional experience.
• Proficiency in Python for AI/ML development.
• Experience with Jenkins for build automation.
• Strong knowledge of AWS cloud platform services.
• Hands-on experience with Docker.
• Working knowledge of Kubernetes.

Key Skills

Education

Any Graduate