Research Engineer, Applied ML
TriomicsOncology AI company
IndiaMid
Battery Ventures
Lightspeed
Y Combinator
Nexus Venture Partners
Oncology Ventures
Precision Health Informatics
Data & AI
About the role
TL;DR
Build applied NLP and LLM systems for healthcare and oncology workflows.
- •We are looking for a Research Engineer to build applied NLP and LLM systems for healthcare and oncology workflows.
- •Key Responsibilities Build prototypes and production-oriented components for clinical information extraction and LLM workflows.
- •Implement prompts, RAG pipelines, fine-tuning experiments, extraction logic, evaluation scripts, and error-analysis tools.
- •Work with senior engineers to improve model quality, robustness, and reliability.
- •Analyze clinical-text model failures and propose meaningful improvements.
- •Collaborate with Clinical AI Data Specialists to understand labeling guidelines, data quality issues, and clinical edge cases.
- •Requirements 1.5-4 years of hands-on experience in ML, NLP, LLMs, or data-intensive software engineering.
- •Strong Python programming skills and willingness to work with messy real-world data.
- •Familiarity with PyTorch, HuggingFace, embeddings, transformers, RAG, prompt engineering, and basic fine-tuning.
- •Good understanding of precision/recall/F1, train/validation/test splits, overfitting, error analysis, and experiment tracking.
- •Ability to learn clinical domain concepts and ask clarifying questions about labels and data.
Required skills
PythonPyTorchHugging FaceNLPLLMsMLflow
Nice-to-have skills
LangChainDocker
Domain expertise
healthcare
Benefits & perks
Lunch provided at the office, Flexible working hours, Comprehensive health insurance, Zomato meal benefits
Tech stack
PythonPyTorchHugging FaceLangChainDockerMLflow