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 Foundation.
CropIn is one of the only two Indian companies listed by Deloitte
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
Team Earth Observation and AI Science
(Advancing the AICulture for AgriCulture!)
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 advance the use of EO & AI for social good.
Senior Data Engineer
This position is hosted by the ?Earth Observation & AI Science??(EO & AI) team, and the position will involve working and collaborating with Technical and Business teams to bring innovation and solutions for sustainable Agriculture. The AI Infrastructure is the core lifeline and one among the 3 pillars that helps us in delivering value to our customers by making the data analysis ready.The candidate will be responsible for the infrastructure team, mentoring other data/ML engineers and working with the technical team comprising AI Data & ML Engineers/Scientists, researchers, subject
matter experts (SME), Professors in the field of Data Science, Machine Learning and AI. The Senior Data Engineer will also be working on open research problems and innovation that might result in publications. He/She must be self driven and passionate about solving problems in technology. The key responsibilities will be in understanding the existing 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 using Apache AirFlow or AWS Step Functions, 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 candidate 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! Essential EducationMaster?s or PhD degree in Computer Science, Computer Engineering, Remote Sensing, Geoinformatics or related technical field, or equivalent practical experience.
Basic Qualifications and Skills:
AWS Cloud framework, Managing EC2, S3, workflow through Step Functions,
Experience with ML Model building and version controlling using MLFlow and bring to
production using Dockers
Work closely with scientists and understand the inner workings of complex machine
Have expertise in Python, Linux and version control using Gitlab/Github,
Aptitude for Research and Publications and launch long-term research initiatives to
publish at top-tier conferences.
Preferred Qualifications and Skills:
Experience with machine learning, deep learning, data mining, and statistical
Experience in taking projects from a Technology Readiness Level (TRL) of 1 to 4
Knowledge of best practices for the full ML development life cycle, including coding
standards, code reviews, source/model control management, build processes, testing,
Experience with working on Google Earth Engine, ArcGIS/QGIS, Geopandas, Rasterio,
Remote/ Bangalore, India
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