Senior Data Scientist - AI engineering with Clinical applications
Tasks
- Build and maintain retrieval augmented generation data solutions
- Create technical documentation runbooks and training materials
- Design prompt engineering and model fine tuning workflows
- Develop and validate LLM solutions for healthcare and drug development
- Enable software engineering for AI products including APIs and backend systems
- Integrate AI services with frontend applications
- Mentor junior data scientists and guide execution
- Stay current on generative AI and LLM research and best practices
- Train test deploy and iterate on machine learning systems
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | CI/CD | Caching | Deep learning | Distillation | Embeddings | Fine Tuning | Generative AI | Huggingface | Jupyter Notebook | Knowledge Base | LLM Evaluation | Language Models | Large Language Models | Machine Learning | Model Fine-tuning | Prompt engineering | PyTorch | Python | Quantization | Retrieval-Augmented Generation | Software Engineering | Transformers | Vector Database
Education
Roles
Regions
Countries
States
Cities
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