Senior Data Scientist – AI & ML | MLOps Enablement (Hybrid – Seattle, WA)
Tasks
- Build feature store schemas and evaluation pipelines
- Configure model endpoints
- Contribute DS expertise to agentic platform
- Create DS native documentation and onboarding guides
- Define model card standards
- Design and own model evaluation framework
- Lead benchmarking across ML platforms
- Run end to end POC validation for platform capabilities
- Translate DS requirements into MLOps platform requirements
Perks/Benefits
- Dental insurance
- Disability insurance
- EAP Resources
- Life insurance
- Medical insurance
- Merchandise Discount
- Paid time away
- Retirement plan
- Vision insurance
Skills/Tech-stack
AI Pipelines | AWS SageMaker | Automl | BigQuery ML | CI/CD | Concept drift | Containerization | Data Drift | Experiment tracking | Feature Engineering | Feature Store | GCP | Lifecycle Management | ML monitoring | Machine Learning | Machine Learning Model Evaluation | Model Evaluation | Model Lifecycle | Model Lifecycle Management | Model Registry | Pipeline Orchestration | Prediction Drift | Python | Vertex AI | Vertex AI pipelines
Education
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