DevOps ML Ops Engineer

Job Summary

A company is looking for a DevOps / ML Ops Engineer to establish infrastructure, automation, and security across its systems.

Key Responsibilities:

• Design and implement secure, reliable, and scalable cloud infrastructure
• Build, manage, and scale CI/CD pipelines for fast and repeatable deployments
• Design, build, and maintain infrastructure for deploying, monitoring, and updating machine learning models

Required Qualifications:

• 7-10+ years of experience in DevOps or Infrastructure Engineering, preferably with production ML systems
• Bachelor's or Master's in Computer Science or a related field
• Proven track record of building developer-friendly infrastructure
• Hands-on experience with CI/CD tools
• Strong knowledge of cloud platforms such as AWS, Azure, or GCP