A five-stage path tuned for the Indian market — 1,260 open MLOps Engineer roles right now, salary band ₹10L – ₹45L. The detailed week-by-week curriculum is being authored and lands shortly. In the meantime here is the exact structure we are building, and the entry points that already work.
Detailed roadmap content launching this month · last refreshed May 2026
Deploy and manage ML models reliably in production at scale.
MLOps is the intersection of ML and platform engineering. Build both halves: enough Python + ML to talk to scientists, enough Kubernetes + IaC to ship.
Pick one cloud and go deep. Half of the MLOps role is being the calm operator who owns the infrastructure layer the data team relies on.
Three end-to-end MLOps systems on your portfolio: one batch, one online, one experiment-tracking. Each runs for 30+ days and has a public incident log.
MLOps splits into three senior tracks. Pick one and own it across all the models in your org — the salary jump from generalist MLOps to specialist is steep.
Set platform direction across 10+ models. Top-band MLOps (Goldman / JPM / Walmart / Adobe) leads cost optimisation as well as reliability — both are senior KPIs.
Don't plan in isolation — anchor the roadmap to live hiring signal. Browse the 1,260 open MLOps Engineer roles in India to see what employers actually demand, and benchmark offers against the MLOps Engineer salary tracker.
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