MLOps Infrastructure Engineer

Job Summary

A company is looking for an MLOps / Infrastructure Engineer.

Key Responsibilities

• Design and maintain cloud infrastructure for real-time model serving and data workflows
• Deploy and optimize APIs for low-latency access to ML models
• Automate model deployment, retraining, and evaluation pipelines

Required Qualifications

• 3-8 years of experience deploying machine learning or high-availability backend systems
• Experience with GCP, AWS, or similar platforms
• Proficiency in Terraform, Docker, Kubernetes, or similar tools
• Experience managing production infrastructure supporting ML workflows
• Ability to work cross-functionally with ML, security, and product teams