Senior ML Engineer

Location: Bengaluru, India

Department: Data Science.

Experience: 3 - 6

• 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.

• 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.

• Triton/CUDA curiosity; profiler literacy.
• Open-source projects or contributions.
• Healthcare or Indic-language data experience.

• 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.

• Medical Insurance & Accidental Insurance
• Maternity & Paternity Benefits
• PF, Gratuity, & Leave Encashment
• Salary Advance Policy