Data Scientist II, TDI
Tasks
- Analyze structured and unstructured datasets
- Apply statistical analysis hypothesis testing and experimental design
- Build multi agent systems and tool integrated AI solutions
- Communicate analytical findings to stakeholders
- Contribute to code reviews and continuous improvement
- Deploy models and manage retraining strategies
- Design build validate and optimize predictive models
- Develop and deploy AI solutions
- Develop and deploy LLM and generative AI solutions
- Ensure production readiness through monitoring and governance
- Independently manage data science projects
Perks/Benefits
Skills/Tech-stack
AWS | Agent systems | Agentic Workflows | Azure | CI/CD | Classification | Databricks | Deep learning | Embedding pipelines | Ensemble Methods | Fine Tuning | GCP | Generative AI | Gradient boosting | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Multi-Agent | Multi-Agent Systems | Predictive Modeling | Prompt engineering | Python | RAG | Regression | Retrieval-Augmented Generation | Tree-based Models | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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