Data & MLOps · India
Data & MLOps staffing in
India.
India is our delivery engine — deep technical talent across the major hubs, ideal for offshore builds and follow-the-sun coverage alongside North American teams. Data and MLOps is the real bottleneck behind every AI initiative. Only about a quarter of enterprises have AI in production; the rest are blocked not by models but by the pipelines, platforms, and operational discipline to run them. We place the engineers who build that foundation.
Data & MLOps in India
The market, and how we staff it.
Data and MLOps is the real bottleneck behind every AI initiative. Only about a quarter of enterprises have AI in production; the rest are blocked not by models but by the pipelines, platforms, and operational discipline to run them. We place the engineers who build that foundation.
Typical bill rate
$110–165/hr
Directional range; we scope the exact rate to the India market and seniority.
~23%
Of enterprises have AI in production
Hardest
IT skill to hire in 2026
25–26%
BLS role growth through 2034
$110–165/hr
Bill rates
Roles in demand
Data & MLOps roles we place in India.
Data Engineer
Builds and operates the pipelines that move and shape data at scale.
Analytics Engineer
Models data (dbt) into trusted, queryable products.
MLOps / Platform Engineer
The ML platform, serving, and CI/CD for models.
Streaming Engineer
Real-time pipelines on Kafka and friends.
Data Architect
Lakehouse, warehouse, and governance design.
Hiring in India
Local talent, cross-border reach.
We hire across India's major technology centers, structured for offshore engagements and cross-border delivery with US and Canadian teams.
Work authorization, handled
We hire across India's major technology centers, structured for offshore engagements and cross-border delivery with US and Canadian teams.
Cross-border delivery
Blend India talent with our US, Canada, and India hubs for follow-the-sun coverage and flexible cost — one accountable team across time zones.
Questions
Data & MLOps hiring in India, answered.
Data engineers or data scientists?
Data and platform engineers — the production layer. We place applied data scientists too, but the scarcity is in engineering.
Do you match to our stack?
Yes — we submit to your specific warehouse, orchestration, and cloud so candidates are productive immediately.
Can you stand up our whole data platform?
Yes — via Delivery Teams we can build and operate the platform, not just staff seats.
Hire Data & MLOps talent in India
Tell us the role.
We'll come back with vetted Data & MLOps talent and straight, market-grounded rate guidance for India.
Data & MLOps in other markets