Chief Applied Scientist – AI & Agentic Systems (Healthcare & Life Sciences)
Tasks
- Apply RLHF for model optimization
- Architect and build AI agents and agentic workflows
- Build scalable data pipelines and AI infrastructure
- Collaborate with engineering product and domain experts
- Deploy AI solutions to cloud environments
- Develop LLM powered applications and AI agents
- Ensure healthcare compliance for AI solutions
- Integrate structured and unstructured data
- Lead end to end AI ML system design
- Mentor team members and drive technical excellence
- Optimize model performance with prompt engineering and fine tuning
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Artificial Intelligence | Azure | C++ | Claims data | Cloud Computing | Data Pipelines | Data Processing | Distributed Systems | EHR | FHIR | Fine Tuning | GCP | Generative AI | HIPAA | HITRUST | HL7 | Hugging Face | Hugging Face Transformers | Human Feedback | Java | LLM Agents | Language Models | Large Language Models | Learning from Human Feedback | Machine Learning | Multimodal Data | OCI | Prompt engineering | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | TensorFlow | Transformers
Education
Roles
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