Description

You will own end-to-end MLOps tasks and automation processes for the Algo Group, focusing on CI architecture, model deployment, and reliability.

This role is on-site.

Responsibilities

• Design and enhance CI architecture to improve scalability, service reliability, cost, and developer experience.
• Define end-to-end MLFlow and automation processes for various products.
• Provide strategic solutions for model testing, deployment, and maintenance.
• Work with development teams to improve shift-left performance and reliability.
• Write technical specifications and maintenance procedures.

Required Skills

• 5+ years of experience as a DevOps Engineer supporting large-scale CI/CD tooling.
• 3+ years of experience in Python script development and working knowledge with pip.
• Proficiency with ClearML, Python, Grafana, ELK, Azure cloud, and K8s.
• Working knowledge of GPU-based development and operations.
• Experience with CI flows and best practices on both Windows and Linux.
• Experience with builds and deployment systems such as Gradle.
• Hands-on experience with DevOps tools including BitBucket, Jenkins, Nexus, and Artifactory.
• Practical experience in Linux administration and debugging.

Preferred Skills

• Understanding of SRE, automation tools, and shell scripting.
• Ability to implement new APM capabilities for AI/ML applications.

Key Skills

Education

Any Graduate