
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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Job Types: Full-time
. Salary: As Per Company Norms.
Education: Bachelor’s (required) Master’s (Preferred)
Location: Indore, Madhya Pradesh (Required)
Best Regards,
HR Department
Office Add-519, 6th floor, Onam Plaza, Near Industry House, AB Road, Indore, Madhya Pradesh, 452001
industry experts.
● YOu will join the mission to create positive impact on millions of peoples lives
● You get to work on the latest tech stack and a team that is highly experimental.
● YOu get to work on AWS with a scalable, serverless and micro-services architecture.
● You get to work with super humans (Psst: Look up these super human1,super human2)
● You get to work in an accelerated learning environment
● All is possible when backed by investors who are committed and believe in the power of
decentralization of data using block chain technology
What you will do
● You will write clean and optimised codes that are well documented
● You will collaborate with and also mentor team members and
● You will contribute to the development effort of several Web Applications (internal as well
as customer-facing)
● You will adhere to best coding practices in front-end development across the team
● You will be agile, research oriented and experiment in learning new product disciplines.
● You will be responsible for the stability of your project and overall system health
post-release
● You will organize code reviews with peers and participate in tech brainstorming sessions.
What we need
● A Minimum 1 years of experience as a back-end engineer and minimum 1 years of
experience using Node JS or using Typescript/Java/Python/Golang.
● Skills to deliver quality APIs and systems using Node JS, Postgres and ElasticSearch
● Experience writing unit test cases
● Experience building Rest APIs using any ORM, bonus for GraphQL APIs
● Understanding of authentication patterns, logging and error handling
● Preferred having experience with working knowledge of React JS, AWS Lambda, API
Gateway, Pub-Sub model
● Understanding of design patterns and event driven architecture is an added advantage.










