MLOps Engineer
GH Office: Tysons Corner, VA (Headquarters), United States
USD 113K-188K Mid-level Full Time
Tasks
- Align MLOps architecture with security requirements
- Build MLops pipelines
- Deploy and maintain ML platforms
- Ensure auditability and governance
- Implement CI CD workflows for ML and data
- Manage model versioning and artifacts
- Monitor data quality
- Monitor model performance
- Monitor pipeline health
- Operationalize machine learning models
- Provision infrastructure as code
- Support explainability for AI systems
- Track experiments
Perks/Benefits
- 401k
- Adoption Assistance
- Disability insurance
- Emergency back-up childcare program
- Employee referral program
- Flexible spending account
- Health insurance
- Health savings account
- Learning opportunities
- Life insurance
- Mobility stipend
- Paid Holidays
- Parental leave
- Student loan paydown
- Tuition assistance
- Tuition reimbursement
Skills/Tech-stack
AWS GovCloud | Apache Spark | Artifact management | Auditability | Azure | Azure Government | CI/CD | Compliance | Container Orchestration | Data Quality | Data quality monitoring | Databricks | Delta Lake | DevOps | Docker | Drift monitoring | Experiment tracking | Explainable AI | Governance | Infrastructure as Code | Kubernetes | Lifecycle Management | MLflow | Machine Learning | Machine Learning Lifecycle Management | Machine learning lifecycle | Model Deployment | Model Drift | Model Monitoring | Model Packaging | Model drift monitoring | Model versioning | Palantir Foundry | Python | Quality monitoring | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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