Senior ML Engineer, LLM Systems Bengaluru · Full-time · mid-senior (3–6 yrs) About EkaCare and the mission 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 The versatile builder, you go where the run needs you; data, training, evals, serving, and you leave every system better-instrumented than you found it. What you'll do • Build corpus pipelines that feed GPUs without stalls: filtering, dedup, PII redaction, tokenisation, streaming dataloaders at ~500B-token scale. • Run distributed training jobs on multi-node H200 clusters; make failures loud, recoveries fast, dashboards honest. • Build the eval and experiment tooling researchers live in. • Wire fast inference paths (vLLM-class) for model iterations. • Automate whatever annoyed you last week. What we look for • 3–6 years of strong software engineering with real ML training exposure; you've fine-tuned or trained ≥1B-parameter models, not just called APIs. • Distributed-computing fundamentals: Slurm or Kubernetes, NCCL basics, storage/throughput intuition. • Data engineering at scale; Spark, Ray, or whatever gets the job done. • A bias for ownership: you don't ask whose job it is. Bonus • Triton/CUDA curiosity; profiler literacy. • Open-source projects or contributions. • Healthcare or Indic-language data experience. Why this is a rare gig • Open source, with your name on it: weights and technical reports ship publicly. • India-scale mission: models for a billion people in their own languages. • Compute that’s rare to fine: dedicated multi-node H200 training under a national grant. • Small senior team: you work with the people who own the recipe. • A live deployment path: Government institutes, EkaCare's doctors and patients use what you ship. Full-Time Employee Benefits • Medical Insurance & Accidental Insurance • Maternity & Paternity Benefits • PF, Gratuity, & Leave Encashment • Salary Advance Policy