About Pando Data
Pando Data builds industrial AI solutions for heavy manufacturing — computer vision and dimensional monitoring systems that give factories real-time production visibility. We are a small, fast-growing team working directly with clients across steel, manufacturing, and more, solving real problems on real factory floors — not building features for a roadmap decided by someone three levels above you.
We're looking for someone who wants genuine ownership early in their career — someone who can take a project from a rough client requirement to a fully working system, and who's comfortable being the person representing Pando in office or on a client call, independently.
Roles & Responsibilities
Build computer vision systems end-to-end — from model development through backend integration, dashboards, and alert/notification systems. You will own the full delivery, not just the model.
Lead client calls and site visits independently, without a senior team member always present.
You'll be expected to represent Pando's technical judgment directly — solving what you can on the spot, and flagging what needs to be escalated.
Work across multiple industries and use cases — retail analytics one month, industrial production monitoring the next. This is a generalist role, not a narrow specialization.
Take ownership of your own task planning and priorities. As a small team, we don't run heavy process or micromanagement — you're expected to identify what needs doing and drive it forward yourself.
Key Skills & Requirements
3–7 years of hands-on experience in computer vision / applied ML, with real production or client-facing project experience — not limited to academic or internship work.
Strong technical range: comfortable across CV model development as well as backend systems, dashboard/reporting tools, and data pipelines. We need people who can build a complete system, not just one layer of it.
Good communication skills and professional maturity — this role involves
📌 Computer Vision Engineer (Mumbai)
🏢 Pando Data
📍 Mumbai
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