Ripik AI (Noida)

Ripik AI (Noida)

15 Aug
|
Ripik.ai
|
Noida

15 Aug

Ripik.ai

Noida

Overview About Ripik.AI

Ripik.ai is an Accel-backed Applied AI company building computer vision and process-optimization agents for the world's largest industrial enterprises across steel, cement, aluminum, chemicals, pharma, and power. Our Vision AI platform acts as an automated pair of eyes on the shop floor - monitoring materials, equipment, and processes 24/7 with 95%+ accuracy, eliminating human error, and delivering measurable gains in throughput, yield, energy efficiency, and safety.

We work with marquee customers including Tata Steel, JSW, ArcelorMittal, Vedanta, Godrej & Boyce, Grasim, Holcim, and Jindal Steel, and are scaling globally across India, the Middle East, Europe, and North America. As we move into our next phase of growth, we are building the operating backbone that will take Ripik from a high-velocity scale-up to a category-defining global industrial AI company.

The Role

We are looking for a hands-on Computer Vision Lead to lead a team of 6-8 AI - Computer Vision engineers. This is a player-coach role : you will set technical direction,



personally solve the hardest modelling problems, and grow a high-performing engineering team - all within the fast-moving setting of a venture-backed industrial AI start-up. Prior formal management experience is not required; what matters is deep technical expertise, the ability to influence through craft, and the drive to build and ship in ambiguous, high-stakes settings.

Key Responsibilities

Technical Leadership & Hands-on Delivery :
Own the end-to-end computer vision roadmap - from problem framing and data strategy through model development, edge deployment, and production monitoring - across Ripik's industrial portfolio (steel, cement, pharma, paints, and beyond).
Personally architect and build solutions for the most complex vision challenges : novel defect types, extreme class imbalance, multi-camera fusion, low-light / high-noise factory environments, and real-time inference on constrained edge ha

📌 Ripik AI (Noida)
🏢 Ripik.ai
📍 Noida

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