Senior Machine Learning Ops Engineer

Responsibilities:

• Design, deploy, and maintain scalable ML infrastructure supporting model training, batch inference, and real-time inference workloads.
• Lead the evolution of model hosting architecture from Snowflake-native services toward cloud-native infrastructure in AWS.
• Build and maintain containerized model serving solutions using Docker, FastAPI, and modern deployment patterns.

Qualifications:

• 6+ years of experience in ML Ops, platform engineering, DevOps, or data platform engineering.
• Hands-on experience with cloud infrastructure, preferably AWS.
• Strong experience with Docker and containerized application deployment.

Required Skills/Abilities:

• Strong Python engineering skills, including API development and automation tooling.
• Strong communication and collaboration skills across Data Science, Data Engineering, and Product teams.
• Ability to operate independently and help define ML platform standards and architecture direction.