Research Engineer, Applied ML

Triomics

India
1-4 years
Today
₹8–19 LPA
Full-time
Onsite

Skills Required

Hugging Face
Transformers
RAG
Prompt Engineering
Fine-tuning
LLM
LangChain
LlamaIndex
Vector Database
Python
PyTorch

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