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Machine Learning Research Engineer, Post-training (LLMs)

Eka Care

On-site
Bengaluru, India
Full-time
Mid Level
Senior
2+ yrs
Salary not listedPosted 2mo ago

Real job — pulled straight from Eka Care’s careers page · Verified August 11, 2026 · No reposts.

Job description

Eka Care is hiring a Machine Learning Research Engineer, Post-training (LLMs) — a full-time, based in Bengaluru, India role. Apply directly on Eka Care's careers page below.

ML Research Engineer - Post-training (LLMs)

Location: Bengaluru, India

Department: Data Science.

Experience: 2 - 4

ML Research Engineer; Post-training (LLMs)
Bengaluru · Full-time · Experience: 4–8 yrs
India's healthcare runs in twenty-two languages, on handwritten prescriptions and ten-minute consults, and the models that should serve it are trained on the English internet. We're fixing that, in the open.

About EkaCare
EkaCare is India's connected healthcare platform: an EMR that doctors run their practices on, a personal health record used by millions of Indians, and one of the deepest integrations with India's ABDM digital-health rails. Our Parrotlet family of medical models already serves Indian doctors in production, and we open-source our work where it counts.

The role
Post-training is where a base model becomes a doctor's tool, and where most medical models quietly fail. You'll turn a strong pre-trained base into a model that follows instructions, knows what it doesn't know, stays safe in a clinical setting, and does it in a dozen Indian languages.

What you'll do
  • Design SFT/IFT data mixes and chat templates for clinical tasks, and reformat the world's medical data to match.
  • Run preference optimisation (DPO/ORPO/GRPO-class) and reward-model training; own the ablation grid.
  • Build RL loops with verifiable medical rewards, with practising physicians in the loop. Real doctor-in-the-loop, not proxy labels.
  • Create agentic and tool-use training data for healthcare workflows.
  • Live in the eval → error-analysis → iterate loop; red-team your own model before the world does.
What we look for
  • 2–4 years in ML with hands-on post-training of ≥7B open-weights models; you've shipped SFT plus at least one preference-optimisation method end to end, not a notebook demo.
  • Fluency with the open post-training stack (TRL / NeMo RL / OpenRLHF; vLLM for rollouts).
  • Strong empirical taste: ablation discipline, LLM-judge literacy, contamination paranoia.
  • Solid engineering, Python, distributed-training basics, comfort in a fast codebase.
Bonus
  • PPO/GRPO at scale; reward-hacking war stories.
  • Multilingual or medical/clinical alignment work.
  • Open-source contributions people actually use.

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Frequently asked questions

What skills are required for Machine Learning Research Engineer, Post-training (LLMs) at Eka Care?

The required skills for Machine Learning Research Engineer, Post-training (LLMs) at Eka Care include: Python, Machine Learning, LLM.

What is the seniority level for Machine Learning Research Engineer, Post-training (LLMs) at Eka Care?

Machine Learning Research Engineer, Post-training (LLMs) at Eka Care is a Mid Level / Senior level position.

How do I apply for Machine Learning Research Engineer, Post-training (LLMs) at Eka Care?

You can view the full description and apply for Machine Learning Research Engineer, Post-training (LLMs) at Eka Care on EchoJobs: https://echojobs.io/job/eka-care-ml-research-engineer-post-training-llms-2sdld.