What are the responsibilities and job description for the MLOps Engineer position at DynPro Inc.?
We are seeking an MLOps Engineer to support machine learning deployment and infrastructure needs for a hybrid contract position in San Francisco, CA. This role focuses on managing ML Ops and Airflow platforms to empower Data Science and Engineering teams.
Responsibilities :
- Assist in developing and deploying ML models (transitioning from AWS Sagemaker to DataRobot).
- Manage AWS infrastructure, CI / CD pipelines, and Python-based components.
- Airflow Platform Support :
- Administer and support AWS MWAA-hosted Airflow.
- Create / manage secrets, deploy DAGs, review workflow modifications, and ensure best practices.
Required Skills :
Bonus Skills :
Advanced Python, Docker, Linux administration, GitHub Actions, Azure
