Industry playbook

Remote hiring for AI & ML

AI talent is the tightest market in tech, and US salaries reflect it. India has a fast-growing pool of ML and AI engineers — many trained on the same open-source stack and research as their US peers — who can build production RAG systems, fine-tune models, and stand up data pipelines at a fraction of onshore cost.

specialists per dollar vs US onshore

Why India works here

  • Genuine LLM/RAG and MLOps experience, not just notebook demos
  • Strong data-engineering foundation to feed the models
  • Cost leverage that lets you hire two specialists instead of one

What to watch for

  • Vet for production shipping, not just Kaggle or coursework
  • Set up evals and guardrails as part of the hire’s remit

Roles AI & ML teams hire

Remote hiring for AI & ML: FAQ

Why hire remote talent in India for AI & ML?

Genuine LLM/RAG and MLOps experience, not just notebook demos Strong data-engineering foundation to feed the models Cost leverage that lets you hire two specialists instead of one

What roles do AI & ML teams usually hire remotely?

Commonly AI Engineer, Machine Learning Engineer, Data Engineer, Data Scientist, Python Developer, DevOps Engineer — see each for salary bands and skills to hire for.

What should AI & ML teams watch out for when hiring remotely?

Vet for production shipping, not just Kaggle or coursework Set up evals and guardrails as part of the hire’s remit