Data Scientist, Principal - AI Product Engineering
Oakland, CA, United States
R
USD 136K-208K (estimate) Senior-level Full Time
Tasks
- Apply best practices for building and deploying generative AI
- Build AI APIs and backend services
- Build copilots and AI agents
- Build data and retrieval pipelines
- Collaborate with researchers and product managers
- Design scalable LLM powered applications
- Ensure responsible and compliant AI
- Evaluate model performance and implement improvements
- Implement retrieval augmented generation and search
- Lead architecture from 0 to 1
- Lead development and deployment of generative AI applications
- Mentor and develop team members
- Optimize performance and ensure reliability
- Prototype and iterate based on evaluation results
- Set technical direction for AI and machine learning
Perks/Benefits
Skills/Tech-stack
Amazon Web Services | Apache Spark | Azure | CI/CD | Deep learning | Generative AI | Google Cloud | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Prompt engineering | PyTorch | Python | REST APIs | Retrieval-Augmented Generation | SQL | TensorFlow | Web Services
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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