Senior Data Scientist
Tasks
- Build retrieval pipelines for grounded LLM outputs
- Create reusable datasets and feature pipelines
- Design GenAI powered internal applications
- Develop and maintain machine learning models
- Develop copilots and AI enabled workflow tools
- Develop evaluation and validation frameworks for AI systems
- Document methodologies assumptions and implementation details
- Implement orchestration workflows and structured prompting patterns
- Partner cross functionally to identify AI enablement opportunities
Perks/Benefits
- Career development
- Employee resource groups
- Flexible work from home
- Generous paid time off
- Volunteer time
- Wellness programs
- Work-life balance programs
Skills/Tech-stack
Deep learning | Embeddings | Experimentation | FastAPI | Generative AI | Git | Gradio | Jupyter | LLM Engineering | Language Models | Large Language Models | Machine Learning | NumPy | Pandas | Probability | Prompt engineering | Python | R | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | Statistical inference | Statistical modeling | Streamlit | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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