Staff MLOps Engineer - Ingénieur(e) MLOps expert(e) (niveau Staff)
Core
Building and scaling infrastructure for large 2D and 3D media datasets to automate, reproduce, and perform machine learning lifecycle operations at scale.
Role type
Staff MLOps Engineer
Builds
Automated data pipelines, CI/CD and Continuous Training (CT) systems for complex multimodal models
Domain
Media & Entertainment / Applied Machine Learning
Deliverable
infrastructure
Required skills
Python, Git, Unix shell, Docker, Kubernetes, workflow orchestrators (Airflow, Prefect, Kubeflow), data versioning, observability
Preferred skills
3D data transformation concepts, systems thinking, high attention to detail
Technologies
Python, Git, Docker, Kubernetes, Airflow, Prefect, Kubeflow, Jira, Confluence, Slack
Responsibilities
Coordinate with ML engineers and TPMs to define infrastructure requirements; Design and maintain CI/CD and CT pipelines; Implement data storage and versioning strategies; Deploy and manage model performance monitoring systems
Seniority
Staff, hands-on IC with strategic scope