CropIn At Bangalore is an Earth Observation & AI Led AgTech organization that empowers the
farming community to re-imagine Agriculture. We are focused on helping the world’s Ag-ecosystem
players to sustainably “maximize their per acre value” by combining pixel-level data derived from
Satellite imagery, in combination with IoT and field intelligence. We are well positioned as the Agtech
leader with access to farms, technology, data and talent. We are building a team of scientists from AI,
Earth Observation, Agriculture, Meteorology to Computer Sciences, all collaborating together to
bring meaningful insight to improve the Ag-ecosystem and impact the livelihood of a farmer.
Funded by Chiratae Ventures, formerly known as IDG Ventures India, and the Bill & Melinda Gates
CropIn’s Farm Management Solution, was declared as the winner of the ‘Best Farm Management
Innovation Solution of the Year’ at the AgTech Breakthrough Awards 2020 and as the winner in the
“Bring Your Own Agriculture Data Challenge” category, as part of the 2020 Innovation Challenge for
Food Security & Agriculture Risk Financing, organised by The World Bank.
Team Earth Observation and AI Science:
The focus of this team is to bring the recent innovations in Machine Learning, Earth Observation
Science, Agriscience to the AgTech space and with the aim of solving the world’s problems in a
sustainable manner. Our mission is to accelerate the use of EO & AI for social good.
AI Data Engineering Fellow Program
The AI and Earth Observation team, in CropIn, is looking for an AI Data Engineering Fellow who is
passionate about solving problems in technology. You will be working with AI Data & ML
Engineers/Scientists, subject matter experts (SME) and business teams for bringing innovation in this
field. The fellowship program is a truly immersive experience helping recent graduates in working in
the industry and in research. The Engineering Fellow will also be working on open research problems
and innovation that might result in publications.
The AI Infrastructure is the core lifeline that helps us in delivering value to our customers by making
the data analysis ready. The key responsibilities will be in understanding the existing AI data ingestion
pipelines for Geospatial data on Amazon Web Services (AWS), working with the AWS team in
tweaking these architectures for adopting the best practices from the Geospatial industry, and building
new ingestion pipeline architecture, and monitoring ML algorithms and their life cycles. Some of the
responsibilities will involve setting up and configuring AWS IAM roles, automating workflows,
optimizing, performance tuning and security. Integration of DevOps into development and
production pipelines using Git, GitLab, GitLab pipelines, Docker, Docker Swarm and Kubernetes.
These architectures will be deployed and validated initially at a small scale, and the fellow
engineer will work over a period of time to make these processes scalable and automated.
Cross pollination of ideas and experience from other industries will be welcome!
Master’s degree in Computer Science, Computer Engineering, Remote Sensing, Geoinformatics or
related technical field, or equivalent practical experience.
Basic Qualifications and Skills:
AWS Cloud framework, Hands on Python, Linux, Gitlab/Github, Aptitude for Research and
Preferred Qualifications and Skills:MLOps, Mlflow, AWS Stepfunction, AirFlow, Docker,
RESTful API, Google Earth Engine, ArcGIS/QGIS, Geopandas, Rasterio, Shapely, GDAL
Remote/ Bangalore, India
6 months to 1 year
Diversity & Inclusion
While we do attract and develop the brightest minds, we strongly believe that diversity in our people
drives an innovative and progressive environment. We welcome those who are differently abled and
will make workplace adjustments to support them. Those who have taken a career break can apply and
talk to us during the recruitment process.
Certificates will be provided at the end of the term of the fellowship
Stipend: 25-30K Per Month