Data Scientist II, TDI
Tasks
- Analyze structured and unstructured data
- Build multi-agent systems
- Build predictive models
- Communicate findings to stakeholders
- Contribute to code reviews and best practices
- Deploy and monitor models in production
- Design experiments and A/B testing
- Develop and deploy AI solutions
- Develop and deploy LLM-based solutions
- Ensure model governance and documentation
- Perform statistical analysis and hypothesis testing
Perks/Benefits
Skills/Tech-stack
AWS | Agent systems | Agentic Workflows | Azure | CI/CD | Classification | Databricks | Deep learning | Embeddings | Ensemble learning | Fine Tuning | Generative AI | Google Cloud | Gradient boosting | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Multi-Agent | Multi-Agent Systems | Predictive Modeling | Prompt engineering | Python | Regression | Retrieval-Augmented Generation | Vector Databases
Roles
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