MLOps Engineer

Job Description: ML Ops EngineerJob Description:We are seeking an ML Ops 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:ML Ops Support:Assist in developing and deploying ML models (transitioning from AWS Sagemaker to DataRobot).Manage AWS infrastructure, CICD pipelines, and Python-based components.Airflow Platform Support:Administer and support AWS MWAA-hosted Airflow.Createmanage secrets, deploy DAGs, review workflow modifications, and ensure best practices.Required Skills:Python: 4+ years of experienceREST APIs: 2+ yearsAirflow: 3+ years (DAG authoring, deployment, administration)AWS Infrastructure: 4+ years (e.g., S3, Sagemaker, MWAA, ECS, SecretsManager)Terraform: 1+ year

Created: 2025-02-22