Data & AI Engineer II
Tasks
- Build data pipelines
- Collaborate with scientists and stakeholders on technical solutions
- Create interactive data visualization applications
- Deploy and maintain application features and data workflows
- Develop analytical applications
- Ensure security privacy and HIPAA aligned practices
- Implement AI output validation and grounding
- Implement AI powered information extraction features
- Integrate applications with databases APIs and data sources
- Monitor, debug, and improve application performance
- Participate in technical design discussions and documentation
- Perform code reviews and incorporate feedback
- Productionize machine learning workflows
- Translate R workflows into Python
- Write reliable testable maintainable code
Perks/Benefits
- 401k match
- Employee stock purchase plan
- Gym reimbursement
- Health and welfare benefits
- Paid leave for living donor program
- Pre-tax commuter benefits
Skills/Tech-stack
APIs | Azure | CI/CD | Dash | Databricks | Django | Docker | FastAPI | Flask | Git | Information Extraction | LLM grounding | Language Models | Large Language Models | Logging | Multi-step Workflows | NumPy | Pandas | Plotly | Pytest | Python | Relational databases | Retrieval-Augmented Generation | SQL | STEP Workflows | Scikit-learn | StatsModels | Streamlit | Structured Information Extraction | Testing | Tool-Calling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Engineer | Engineer | Software Engineer
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