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ML Engineer

Bangalore Permanent View Job Description
Join The Client as a Research Engineer developing applied NLP and LLM solutions that transform unstructured clinical data into actionable insights. The role combines hands-on model development, experimentation, evaluation, and production-oriented engineering to improve oncology research and patient-care workflows.
  • Build cutting-edge LLM systems for oncology workflows
  • High-impact role solving real healthcare AI challenges.

About Our Client

The Client operates in the healthcare AI sector, building AI-powered solutions for oncology workflows within electronic health record environments. The organisation works with leading cancer centres and healthcare providers, applying large language models and automation to clinical trial matching, data abstraction, medical record analysis, and research operations. The company has experienced rapid growth and is backed by leading technology and healthcare investors.

Job Description

  • Design and build NLP and LLM solutions for healthcare applications.
  • Develop clinical information extraction and document-understanding systems.
  • Create prompt frameworks, RAG pipelines, and fine-tuning experiments.
  • Build evaluation, benchmarking, and error-analysis tooling.
  • Analyse model performance and drive quality improvements.
  • Collaborate with clinical AI specialists on labelling and data quality.
  • Support structured data generation from complex clinical documents.
  • Contribute clean, maintainable Python code for production-oriented systems.

The Successful Applicant

We're looking for someone who has:

  • 1.5-4 years of experience in ML, NLP, LLMs, or data-intensive engineering.
  • B.Tech from T1 Engineering college - IITs, NITs, BITS
  • Strong Python programming and software development skills.
  • Hands-on knowledge of PyTorch, Hugging Face, Transformers, and embeddings.
  • Experience with prompt engineering, RAG architectures, and model evaluation.
  • Understanding of precision, recall, F1 metrics, and experiment design.
  • Ability to work with messy real-world datasets and clinical edge cases.
  • Ownership mindset with strong collaboration and problem-solving skills.

What's on Offer

  • Opportunity to work on real-world healthcare AI with meaningful impact.
  • Exposure to advanced LLM, NLP, and clinical AI applications.
  • Collaborative environment alongside experienced AI and engineering teams.
  • Fast-growing organisation with strong industry backing and scale.
  • Flexible working culture with healthcare benefits and employee perks.



If this role fits your experience, you can apply for the role.

Quote job ref
JN-102026-7138231

Job summary

Function
Analytics
Sub Sector
Machine Learning
What is your area of specialisation?
Technology & Telecoms
Location
Bangalore
Job Type
Permanent
Job Reference
JN-102026-7138231

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know.