Senior MLOps Technical Lead
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Location
In office (India)
Seniority
Staff
Visa
Sponsors visas in Ireland; no register of this country names it
Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 11, 2026.
Overview
Company
Impact
Profile match
HCLTech is an Indian information technology services and consulting company headquartered in Noida, Uttar Pradesh. Its roots lie in HCL, founded in 1976 by Shiv Nadar and partners, and the IT services business was set up as a separate company in 1991. It provides application development and maintenance, infrastructure and cloud services, cybersecurity, engineering and R&D services, and sells its own software products through HCLSoftware. The company employs more than 200,000 people in some 60 countries and is listed on the Indian stock exchanges.
Job Summary
Python Developer / Data Scientist for ADS
Geospatial
- Strong with the Python geospatial stack: GeoPandas, Shapely, Rasterio, pyproj, Fiona
- Solid grasp of coordinate reference systems (CRS), projections, and reprojection pitfalls
- Vector and raster handling: polygons, field boundaries, GeoTIFFs, zonal statistics, clipping, masking, resampling
- Spatial joins, overlays, and intersection logic at scale (e.g., field polygon vs. land-cover raster)
- Familiarity with common formats: GeoJSON, Shapefile, GeoPackage, Cloud-Optimized GeoTIFF (COG), Parquet/GeoParquet
Key Responsibilities
Agro domain
- Understanding of crop types, growing seasons and crop calendars
- Knowledge of key agronomic risk drivers: drought, flood, frost, heat stress, hail, pests/disease
- Familiarity with agricultural data sources: land-cover and crop-type products (e.g., MapBiomas), yield statistics, soil data
- Ability to translate agronomic concepts into data features (e.g., NDVI anomalies, precipitation deficits, growing degree days)
Skill Requirements
Python and data science core
- Production-quality Python: clean, tested, typed, maintainable code.
- SQL, ideally PostgreSQL
Other Requirements
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