Senior Data & ML Ops Engineer
Boston, Massachusetts, US, 02210
USD 137K-206K Senior-level Full Time
Tasks
- Apply data privacy security compliance
- Automate deployment workflows
- Build data pipelines
- Create CI CD practices
- Deploy machine learning models
- Document data and ML solutions
- Enforce data governance
- Implement retrieval-augmented generation
- Maintain ETL/ELT workflows
- Manage access control
- Manage prompts and evaluation workflows
- Operationalize model monitoring
- Set up testing frameworks
- Troubleshoot data pipelines
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Amazon SageMaker | Automated retraining | Automated testing | Azure DevOps | Batch inference | CI/CD | CloudFormation | DBT | Data Lineage | Data Observability | Data Privacy | Data Quality | Docker | Drift Detection | ELT | ETL | Embeddings | Experiment tracking | Generative AI | Git | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | Model Monitoring | Model versioning | Prompt engineering | Python | Real Time | Real-time Inference | Retrieval-Augmented Generation | SQL | Shell Scripting | Snowflake | Terraform | Vector Databases
Education
Regions
Countries
States
Cities
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