Core
Lead the assessment, design, and hands-on implementation of scalable data and ML infrastructure to support a workforce development platform.
Role type
Staff / Principal MLOps Engineer
Builds
Production data pipelines, ML workflows, and robust data architecture for a workforce development platform
Domain
Workforce development / AI-powered job matching
Deliverable
infrastructure
Required skills
MLOps leadership, complex system diagnosis, systems design, hands-on coding, production pipeline operations, cloud infrastructure fluency
Preferred skills
MLOps practice establishment (CI/CD, experiment tracking, feature stores), mission-driven environment experience, public thought leadership, team mentoring
Technologies
SQL, Python, Airflow, dbt, PostgreSQL, Redshift, MongoDB, AWS SageMaker, AWS S3, AWS Lambda, AWS Glue, Looker
Responsibilities
Evaluate current pipelines and data architecture to produce a prioritized improvement plan; Design durable data and ML systems anchored in customer needs; Rebuild and harden pipelines and upgrade data architecture; Establish patterns for observability, reliability, and data quality
Seniority
Staff / Principal, hands-on IC