Senior Machine Learning Ops Engineer

📋 Description

• Design, deploy, and maintain scalable ML infra for training, batch, and real-time inference.
• Build cloud infra using AWS; apply Infrastructure-as-Code practices.
• Develop containerized ML deployments with Docker and FastAPI.
• Create and improve CI/CD pipelines, automation, and testing for ML systems.
• Partner with Data Science and Data Engineering to productionize models.
• Establish monitoring, observability, drift detection, and alerting.

🎯 Requirements

• Bachelor’s degree in CS, Data Eng, or related field; advanced degree preferred.
• 6+ years in MLOps, platform engineering, DevOps, data eng, or related infra roles.
• 3+ years hands-on AWS cloud experience.
• Strong Python engineering skills for API, automation, backend.
• Experience with Docker, Kubernetes, and IaC tools (Terraform/OpenTofu/CloudFormation).
• SQL skills with Snowflake, Databricks, or BigQuery.

🎁 Benefits

• Medical, dental, and vision insurance.
• 401(k) retirement plan with company match.
• Paid holidays, vacation, sick days, and volunteer time off.
• 12 weeks of paid parental leave.
• Remote work flexibility.
• Employee mentorship and leadership development opportunities.