Description

You will design and implement machine learning operations architectures, managing the full lifecycle from infrastructure to deployment.

This role is on-site.

Responsibilities

• Architect end-to-end MLOps workflows and infrastructure.
• Manage containerized environments using Docker and Kubernetes.
• Build and maintain CI/CD pipelines with Jenkins.
• Deploy and scale machine learning models on AWS.

Required Skills

• 12+ years of professional experience in software engineering or infrastructure.
• Deep expertise in MLOps principles and practices.
• Proficiency with Python for scripting and development.
• Hands-on experience with AWS services for cloud infrastructure.
• Experience managing and operating Kubernetes clusters.
• Experience with Docker containerization strategies.
• Experience building and maintaining pipelines in Jenkins.
• Bachelor's degree or equivalent graduate education.

Key Skills

Education

Any Graduate