AI and applied ML
Model and pipeline engineers, evaluation and annotation teams, MLOps and inference cost work. Useful when your US or EU team is small and every hire has to be senior.
Industries
Hiring well depends on knowing what good looks like, what it costs this quarter and where those people currently work. That knowledge does not generalise, so we keep the focus narrow.
Where we focus
We stay narrow on purpose. These are the skill markets we track in Bengaluru, with live salary bands and a sense of who is actually available.
Model and pipeline engineers, evaluation and annotation teams, MLOps and inference cost work. Useful when your US or EU team is small and every hire has to be senior.
Protocol and smart contract engineers, node and infrastructure operations, wallet and integration work. Compliance and key-handling controls designed in from the first contract.
Data engineering, warehouse and pipeline ownership, BI and reporting, analytics engineering. One of the easiest functions to run from India because the work is measurable and asynchronous.
Product engineering pods, QA and release, plus tiered customer and technical support that covers your European morning and the hours your US team is asleep.
Design and CAD support, production engineering, supplier quality documentation, and the back-office functions that sit alongside them: procurement support, order management and finance operations.
A capability centre is not a pile of individual hires. These are the starting shapes we see succeed most often at small scale, each designed so that nobody is the only person who knows something.
If your plan needs a shape that is not here, say so on the call. We will either tell you how to structure it or tell you it is a bad idea in India.
Twenty minutes with Anupam in Bengaluru, then a written note covering the roles, the realistic cost, the model that fits, and what could go wrong. No fee — and no obligation afterwards.