onsite
Research Engineer - Post Training & Small Language Models SLMs in Healthcare AI - Deloitte
Research Engineer
Lead research on post‑training techniques for small language models, advancing reasoning and agentic capabilities in healthcare AI to streamline clinical decision‑making and reduce administrative burden.
About the role
Key Responsibilities
- Design and implement post‑training methods to enhance small language models for clinical reasoning tasks.
- Develop agentic systems that autonomously support clinicians, reducing paperwork and improving patient outcomes.
- Collaborate with cross‑functional teams to integrate models into healthcare workflows and evaluate impact.
- Publish findings in peer‑reviewed venues and present at industry conferences.
- Maintain rigorous documentation and reproducibility standards for all research artifacts.
Requirements
- Ph.D. or Master’s in Computer Science, AI, or related field with focus on NLP or ML.
- Proven experience with Python, PyTorch/TensorFlow, and large language model fine‑tuning.
- Strong background in healthcare AI, including familiarity with clinical data standards and regulatory considerations.
- Excellent problem‑solving skills and ability to translate research into production‑ready solutions.
- Effective communicator, comfortable presenting complex ideas to technical and non‑technical audiences.
Skills
pythonmachine learningnlp