Founding ML Engineer

Founding ML Engineer (Computer Vision) - Gurgaon - Onsite (Mon-Sat)What You'll Own:The full ML lifecycle: data engine, training, evaluation, deployment, monitoring, and the loop tying them togetherA serious data engine: collection, labeling strategy, hard-example mining, and test sets that predict real-world performanceComputer vision that must be right in real time in the hardest conditions (bad lighting, blocked views, uncontrolled angles, hundreds of subtly different processes)Full authority over how ML is done at a company where ML is the product, working directly with the founders

Requirements

(A) Must Have - Trained computer vision models yourself (own training runs, own data decisions, not fine-tuning via API) and deployed them to productionBuilt or run a serious data engine: collection, labeling strategy, hard-example mining, evaluation sets tied to real-world performanceOwned an ML system end to end in production (data, training, evals, deployment, monitoring), iterated against real-world failure, not benchmark leaderboardsDeep computer vision fundamentals: can reason from first principles about why a model fails on real video and design the fixResearch depth with proof of shipping (publications/citations are great, but only paired with production; a pure academic is a no)Did your best work at an early seat in a high-performing, US-based startup: small team, no safety net, outcomes on youComfortable with 6 days a week, in office, in Gurgaon(B) Nice to Have - Published research with real impactA system people said couldn't be built, or a result that made a previous team's product possible