AI Principal Engineer - Clinical Data Analytics
Tasks
- Build analytics and AI APIs
- Build data lakes
- Build data warehouses
- Design data architectures
- Design semantic layers
- Develop generative AI solutions
- Develop production AI and ML solutions
- Ensure platform reliability and security
- Evaluate and deploy AI models
- Govern model and data compliance
- Harmonize metrics and KPIs
- Implement data pipelines
- Lead MLOps and LLMOps practices
- Maintain and monitor Databricks platforms
- Manage model lifecycle
- Manage prompts and prompt versions
- Monitor model performance
- Optimize data management technologies
- Select and optimize analytics tools
- Standardize reusable data models
- Support regulated environment analytics
Perks/Benefits
- 401k
- Dental insurance
- Disability insurance
- Flexible spending accounts
- Health insurance
- Life insurance
- Paid Holidays
- Sick days
- Stock purchase plan
- Travel opportunities
- Vacation days
- Vision insurance
Skills/Tech-stack
AWS | Atlan | CI/CD | Colibra | Data Architecture | Data Catalog | Data Governance | Data Lineage | Data Modeling | Data Warehousing | Data integration | Databricks | Delta Lake | DevOps | EC2 | Glue | GxP | LLMOps | Lakehouse | Lambda | MLOps | Metadata Management | Power BI | Prompt engineering | Python | R | Redshift | Reltio | SQL | Spotfire | Tableau | Unity Catalog | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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