Location: Marol, Andheri, Mumbai · Work from office

Company: Carnot Technologies, Mahindra Group

At Carnot, we're building data-driven agri-tech products for farmers, mills, and farm operations. For our Smart Harvesting Solution (SHS), we're building data and modelling systems — turning satellite imagery, weather feeds, and parcel-level farm data into useful predictions for sugar yield, harvest detection, and crop monitoring.

The data is messy on purpose: farms without perfect boundaries, weather that refuses to behave, satellite images that are 80% cloud-covered exactly when you need clear data. If that sounds exciting rather than scary, you'll feel at home here.

For context: our team has already built a telematics platform processing 100+ GB of data daily and is now building capabilities to use satellite intelligence with the same engineering DNA. You'd be joining an 8-person engineering team giving you exposure across data, backend, and ML rather than being boxed into one slice.

What you'll build

You'll move across the full path — data → experiments → models → APIs → production pipelines — and own that path end-to-end for at least one workflow. Concretely:

Build and maintain pipelines for satellite imagery, weather data, and parcel-level farm information
Run Python experiments to test hypotheses around sugar yield, harvest detection, and crop monitoring
Convert useful experiments into production pipelines, APIs, or scheduled jobs — the kind that don't break at 2 AM
Help us build modular components that serve SHS today and the broader Satellite Intelligence Platform tomorrow

This is neither a notebook-only role nor a pure ML research role. We want someone who is genuinely happy doing both halves.

You should apply if you have

3+ years of professional Python experience in a production environment (actual systems running for real users)
Hands-on comfort with Pandas, NumPy, and wrangling messy real-world data
Working knowledge of at least one cloud platform: AWS / GCP / Azure
Familiarity with PostgreSQL/PostGIS, S3/GCS, or similar data systems
The ability to learn fast and run with limited hand-holding — we're a small team and we expect you to take ownership from week one

Nice to have

Experience with satellite imagery, remote sensing, GeoPandas, rasterio, GDAL, or any geospatial work
Experience with weather, time-series, or agronomic data
Comfort using AI coding tools (Claude, Cursor, Codex, etc.) as part of your daily workflow — we use these heavily, primarily Claude

Why this role

You'll work on real agricultural problems with real field data — outputs that mills and farmers actually use, not slide-deck demos. The team is small enough that what you build ships, and you own it end-to-end rather than handing it over a fence. We move fast, we don't write 40-page specs, and we hire people who ask good questions and figure things out.

How to apply

Fill out your details below and submit your applications.

Data Engineer - Satellite Intelligence