Senior Machine Learning Ops Engineer

Key Responsibilities:

• Design, deploy, and maintain scalable ML infrastructure supporting model training, batch processing, and real-time inference workloads.
• Build and manage cloud-based infrastructure and services using AWS, Snowflake, and related platforms through Infrastructure-as-Code practices.
• Develop and maintain containerized ML deployment solutions using Docker, FastAPI, and modern software delivery patterns.

Requirements:

• Bachelor’s degree in Computer Science or related field; advanced degree preferred.
• 6+ years of experience in MLOps, platform engineering, DevOps, or related roles with 3+ years of AWS experience.
• Strong Python skills, including API development and backend service development, plus experience with Docker and Kubernetes.

Benefits:

• Competitive salary range of approximately $150,500 to $173,000 annually.
• Medical, dental, and vision insurance coverage with 401(k) retirement plan and company match.
• 12 weeks of paid parental leave, paid holidays, vacation, and volunteer time off.