ML at Optifye has been founder-run from day one. You will own it completely.

You will own the full ML lifecycle: the data engine, training, evaluation, deployment to production, monitoring in the wild, and the loop that ties them together. Real factories are the hardest possible environment for computer vision: bad lighting, blocked views, camera angles you didn't choose, hundreds of subtly different processes and your models have to be right, in real time, with customers watching. Applied-first, with genuine research depth.

You've trained models yourself, not orchestrated APIs, and you've also carried them all the way into production and lived with the consequences. You read papers, implement the ones that matter, and know when the frontier idea beats the boring baseline and when it doesn't.

Requirements

- You've owned an ML system end-to-end in production: data, training, evals, deployment, monitoring and iterated it against real-world failure, not benchmark leaderboards.

- Deep computer vision fundamentals: you can reason from first principles about why a model fails on real video, and design the data or architecture change that fixes it.
- You've built or run a serious data engine collecting data, deciding what to label, hunting down the hard examples, building test sets that actually predict real-world performance.
- You did your best work at an early seat in a high-performing startup: small team, no safety net, outcomes on you.
- Evidence of exceptional work anywhere: published research with real impact, a system people said couldn't be built,



a result that made your previous team's product possible.

Company Summary

Optifye is an AI performance monitoring system for factory workers backed by Y Combinator. We put cameras in factories and use computer vision to find shop floor inefficiencies in real-time. Our clients are industry-leading manufacturers in the garments, automotive, medical, and FMCG industries across the world. We are one of the fastest-growing B2B startups in India. Going from 0 - $25M in 9 months. The shop floor has historically been a black box. With Optifye, manufacturing companies can now accurately measure worker output and boost efficiency!

Why Join Us It's going to be brutal, you're going to have a lot of work, but once the dust settles, you will have higher returns than everyone around you.

Required Skills ['ML', 'computer vision', 'machine learning', 'production']

Additional Information

Source recruiter: Sahla C Source recruiter designation: TA Consultant Company tagline: AI performance monitoring for factory workers Employee count: 1 Company founded: 2024 Advantages: Equity + industry-leading salary, Employee Growth Company tech stack: Machine Learning, AWS, Kafka, Docker, Kubernetes, Lambda Website: https://www.optifye.ai/ LinkedIn: https://www.linkedin.com/company/optifye-ai/about/ Instahyre score: NA Strong match: NA Accept outstation: true Company tagline: AI performance monitoring for factory workers Logo: https://media.instahyre.com/images/profile/base/employer/51404/12513df4cd/optifye_ai_logo.webp

📌 Founding ML Engineer (Gurugram)
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📍 Gurugram