About
Arya is India's leading Agritech which has been working at the farmgate to strengthen agriculture value chains through its integrated range of services. Driving technology through a human-centered approach, Arya's Agritech and Fintech platform leverages technology to bridge the Last Mile. Through its profitable business model with over 5.0 million tonnes of storage capacity across 5,500 warehouses in 21 Indian states, Arya helps farmers, aggregators, Farmer Producer Organisations, food processors and end-user corporates avoid post-harvest losses.
Powered through its platform, Arya.ag, it efficiently connects the supply side of the Agri ecosystem with the demand side through a comprehensive portfolio of agri-services. Arya assists sellers of agri-commodities to avoid distress sale of produce by extending post-harvest credit. It has completed loan disbursements of over Rs 4400 Crores. It's integrated and easy-to-use platform also helps users to choose ancillary services like warehouse management, access to finance, quality testing, storage protection services, and connects produce to buyer through a robust technology-enabled back-end ecosystem.
Tech stack
Java
Python
Machine Learning (ML)Candid answers by the company
Arya.ag is an Indian agritech company that provides post-harvest solutions by integrating warehousing, logistics, and financing to connect farmers and agribusinesses.
It helps farmers store their produce near their farms, access credit against their stored goods through its NBFC subsidiary Aryadhan, and find buyers on its digital platform. This system empowers farmers with more control over when and whom they sell to, while providing buyers with a reliable and quality-assured supply chain.
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Jobs at Arya
PythonMachine Learning (ML)About the Role:
We are looking for a Data Scientist with a strong foundation in geospatial analysis and machine learning to join our team. You’ll work on developing models and insights from satellite imagery for agricultural applications using Google Earth Engine (GEE) and AI tools.
This role is ideal for someone with hands-on project or internship experience in remote sensing or geospatial ML who’s ready to grow into a more focused and impactful role in precision agriculture.
Key Responsibilities:
- Work with satellite imagery to extract insights about farms, vegetation, and land health.
- Use Google Earth Engine (JavaScript and Python APIs) for geospatial data processing.
- Assist in building ML models for:
- Vegetation and stress index analysis
- Moisture and crop condition estimation
- Crop classification and growth monitoring
- Support the design of data pipelines and automation workflows.
- Collaborate with team members from agronomy, GIS, and engineering for data integration and delivery.
Preferred Qualifications:
- 1-3 years of experience in data science, remote sensing, GIS, or a related field (internships or projects count!).
- Hands-on experience with Google Earth Engine.
- Proficient in Python and familiar with key data science libraries (NumPy, Pandas, Scikit-learn, etc.).
- Exposure to working with satellite imagery (e.g., Sentinel, Landsat).
- Some experience with AI/ML models for classification or time-series analysis.
- Curious, proactive, and comfortable learning in a fast-moving environment.
Nice to Have:
- Exposure to agriculture, climate, or environmental data projects.
- Familiarity with cloud platforms (GCP).
- Basic GIS skills (e.g., QGIS, shapefiles, geospatial formats).
- Projects or portfolio showcasing relevant work.
What We Offer:
- A chance to work on high-impact, real-world problems in agriculture.
- Supportive team environment and opportunities to grow your skills.
- Flexible work setup and a collaborative, mission-driven culture
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