ML Engineer

Location: Bengaluru, India

Department: Data Science.

Experience: 1 - 3

• Run and extend the evaluation harness: benchmark sweeps, dashboards, regression tracking across checkpoints.
• Build data-quality tooling: filters, dedup checks, samplers, "look at the data" utilities everyone thanks you for.
• Monitor training runs and make their logs and metrics legible.
• Build internal tools that make researchers measurably faster.
• Learn relentlessly, paper clubs, ablation reviews, and real responsibility early.

• 1–3 years (or even fresh graduate) with excellent coding; Python you're proud of, and the instincts to debug anything.
• ML fundamentals you can defend on a whiteboard, not just import.
• Evidence you build things nobody asked you to: repos, competition results, a tool your classmates used.
• Hunger. This team moves fast, and the learning curve is the point.

• Open-source PRs; Kaggle or competitive programming.
• Coursework or projects in NLP/LLMs; interest in Indic languages.

• 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