Data Scientist
Tasks
- Analyze model key performance indicators
- Build data transformation pipelines
- Collaborate with MLOps
- Develop financial process understanding
- Evaluate model performance metrics
- Maintain agent evaluation data
- Monitor production model outputs
- Optimize prompt engineering strategies
- Perform exploratory data analysis
- Propose model updates
- Serve model predictions via API
- Support agent decision serving
- Troubleshoot logic errors
- Troubleshoot model drift
Perks/Benefits
- N/A
Skills/Tech-stack
API Monitoring | Agent evaluation | Agent observability | ApigeeX | Authentication | Authorization | BigQuery | CI/CD | Cloud Functions | FastAPI | Flask | GCP | Generative AI | MLOps | Machine Learning | Microservices | Prompt engineering | Python | RAG | Rate Limiting | Retrieval-Augmented Generation | SQL | SQLAlchemy | SQLModel
Education
Bachelor of Engineering | Master of Arts | Master of Science
Roles
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