Cropin is a leading AI & Data Led Agtech company based out of Bangalore. It provides SaaS based solutions to Agribusinesses & BFSI segment globally. We are focused on helping the world’s Ag-ecosystem players to sustainably increase their per acre value with digital solutions & tools and with powerfull data insights. We are well positioned as the Agtech leader with access to farms, technology, data and talent. Our R&I (Research and Innovation) has scientists from the Ag, weather, Geo-spatial, data to computer sciences, all collaborating together to bring meaningful insight to improve the Ag-ecosystem and impact the livelihood of a farmer.
Problem We Are Solving
The world population is expected to cross the 10 billion mark by the middle of this century. This population growth combined with urbanization will require agricultural production to double and that’s where CropIn fits in, we are continuously innovating and building products that can fuel the growth of smart sustainable Ag-ecosystem, which are required to match the growing food demand.
Vision & Mission
To discover, develop and deliver innovative data enabled solution and to be preferred partner in helping our clients succeed in the world’s rapidly evolving Agri & BFSI Sector.
Job Title: Data Scientist Team: Research & Innovation Location: Bangalore
Data Scientist/Data Engineer will research data automation processes for our analytics and machine learning pipelines on very large scale image time series data.
Design, implement and validate your analytical pipelines in Apache Spark, AWS, Apache Kafka using
Python/R on a state-of-the-art cluster.
Collaborate with Engineering team to integrate analytic solutions into product platforms.
Contribute to optimizing model training, hyperparameter tuning, distributed ML and TensorFlow pipelines.
Collaborate with Engineering team to build data extraction APIs.
Develop understanding of Geospatial datasets.
The position reports Head- Research & Innovation
This position works closely with Internal teams and Customers
Best fit profile
MS/PhD in CS/Engineering/Math or related field with 2-3 year experience in ML or as SDE for data products.
Experience in distributed computing such as Hadoop/Spark