Manager, Data Science (GenAI Solutions & ML Engineering)
Tasks
- Build ML inference services and APIs
- Conduct architecture reviews and code reviews
- Deploy generative AI applications
- Deploy production machine learning solutions
- Design and implement MLOps strategy
- Drive computer vision training inference and monitoring pipelines
- Implement model governance and lifecycle management
- Implement observability performance monitoring and drift detection
- Lead ML engineering team
- Mentor engineers and data scientists
- Partner with data science to productionize models
- Standardize ML CI CD pipelines
Perks/Benefits
- 401k match
- Disability insurance
- Education assistance
- Health insurance
- Incentive plan participation
- Life insurance
- Paid Company Holidays
- Paid time off
Skills/Tech-stack
AI Governance | APIs | AWS | Azure | CI/CD | Computer Vision | Docker | Drift Detection | GCP | Generative AI | Kubernetes | LLM | MLOps | Machine Learning | Model Monitoring | Observability | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Vector Databases
Education
Roles
Regions
Countries
States
Cities
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