MLOps Engineer
GH Office: Tysons Corner, VA (Headquarters), United States
USD 113K-188K Mid-level Full Time
Tasks
- Automate infrastructure provisioning with Infrastructure-as-Code
- Build MLops pipelines
- Deploy and retrain ML models
- Implement ML CI/CD workflows
- Manage model versioning and artifacts
- Monitor data quality and pipeline health
- Monitor model performance and drift
- Operationalize machine learning models
- Support AI ML governance and compliance
- Track ML experiments
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | Containerization | Data Quality | Data quality monitoring | Databricks | Delta Lake | Docker | Experiment tracking | Infrastructure as Code | Kubernetes | MLflow | Machine Learning | Model Monitoring | Model versioning | Python | Quality monitoring | Spark | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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