Research Engineer, Applied ML
Triomics
Skills Required
Description
We are looking for a Research Engineer to build applied NLP and LLM systems for healthcare and oncology workflows.
Company: Triomics
Role: Research Engineer, Applied ML
Location: India Office
Experience:
- 1.5–4 years of hands-on experience in ML, NLP, LLMs, or data-intensive software engineering
Key Skills:
- Python
- PyTorch
- HuggingFace
- embeddings
- transformers
- RAG
- prompt engineering
- fine-tuning
Role Focus:
- 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
- Collaborate with ML Evaluation Engineers to run benchmark and regression tests
- Write clean, tested, maintainable Python code and contribute to internal tools, data processing scripts, and annotation/evaluation workflows
Nice to have:
- Clinical NLP, biomedical text, healthcare documents, or information extraction experience
- Experience with LangChain/LlamaIndex, vector databases, spaCy, OCR/document processing, annotation tools, or structured LLM outputs
- Exposure to Docker, APIs, ML deployment, MLflow/W&B, or data pipelines
Other:
- Impact at scale. The systems your teams build directly power AI workflows that accelerate cancer research and improve patient outcomes
- Cutting-edge problems. Hard, data-intensive systems at the intersection of AI, healthcare, and scale - in a highly regulated industry where reliability is non-negotiable
- World-class team. Work alongside top talent across AI, engineering, and product, with best-in-industry compensation
- Culture that ships. Fast-paced, ownership-driven, with company-sponsored workations
- Lunch provided at the office - one less daily decision
- Flexible working hours - we care about output, not clock-ins
- Comprehensive health insurance for you and your family
- Zomato meal benefits for early starts and late nights
Prepare for this role
Recommended resources to build the skills for this position. Sponsored.
Python for Everybody Specialization
Coursera
Learn Python from scratch — variables, data structures, web scraping, and databases.
Python 3 Programming Specialization
Coursera
Intermediate Python covering classes, inheritance, APIs, and data processing.
Generative AI with Large Language Models
Coursera
Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.
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