Machine Learning Engineer - Hybrid
Tasks
- Build and maintain CI CD pipelines for machine learning models
- Build and maintain data preparation and validation tooling
- Collaborate with data engineering teams on data pipeline reliability and access
- Contribute to shared MLOps tooling and best practices
- Design and implement ML infrastructure for training evaluation and deployment
- Implement model monitoring drift detection and feedback loops
- Partner with data scientists to productionize models
Perks/Benefits
- 401k match
- Disability insurance
- Education assistance
- Health insurance
- Incentive plan
- Life insurance
- PTO
- Paid Company Holidays
Skills/Tech-stack
AWS | Automated testing | BigQuery | CI/CD | Data Pipelines | Docker | Drift Detection | GCP | Kubernetes | MLOps | Machine Learning | Model Monitoring | Model Serving | Python | SQL
Education
N/A
Regions
Countries
States
Cities
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