Staff MLOps Engineer
Core
Building and scaling infrastructure for large 2D and 3D media datasets to automate and optimize the machine learning lifecycle.
Role type
Staff MLOps Engineer
Builds
Automated CI/CD and Continuous Training (CT) pipelines for complex multimodal models; scalable data storage and versioning systems.
Domain
Media & Entertainment / Machine Learning Infrastructure
Deliverable
infrastructure
Required skills
Python, Git, Unix shell, Docker, Kubernetes, workflow orchestrators (Airflow, Prefect, Kubeflow), data lifecycle management, monitoring & observability, systems thinking
Preferred skills
Strong mathematical background, experience with robotics, smart grids, precision agriculture, game development, or aerospace
Technologies
Python, Git, Unix shell, Docker, Kubernetes, Airflow, Prefect, Kubeflow, Jira, Confluence, Slack
Responsibilities
Coordinate with ML engineers and TPMs to spec infrastructure; design and maintain CI/CD and CT pipelines; implement data versioning and storage strategies; deploy monitoring systems for model performance and data drift.
Seniority
Staff, hands-on IC with strategic scope