Cropin : Data Scientist

Brief Description of position:

About us

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 in the index under the Clean Technology Segment under Asia Pacific Technology Fast 500.

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, organized by The World Bank.

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.

Data Scientist in Team AI-Science

The team is looking for a Data Scientist who is passionate about solving problems in Satellite Imaging and in the AI space, and for the social good. The candidate will be working with a team of AI Data & ML Engineers/Scientists, subject matter experts (SME), and business teams. In this role, the data scientist will develop innovative ideas to build prototype and proof-of-concept AI models. He/She will have experience in handling and training on large datasets/big data using GPU-distributed training, cloud computing, or HPC clusters. Good exposure to working on problems in optimization, statistics, machine learning, and deep learning. Proficiency in image processing and experience in handling satellite remote sensing images will be beneficial.

Essential Education

  • Master’s degree in Computer Science, Electrical Engineering, Data Science, Machine Learning, Applied Statistics, or related technical field, or equivalent practical experience.

Basic Qualifications and Skills:

  • Hands-on Python programming experience and Machine Learning libraries like Scikit-learn,
  • Experience in Image Processing and Computer Vision
  • AWS/GCP/Azure Cloud framework, Docker
  • Deep Learning framework Keras/PyTorch/Tensorflow,
  • Code version control using Gitlab/Github.
  • Proficiency in algorithm and model development, model validation, and model implementation to scale, especially with images

Preferred Qualifications and Skills:

  • DataOps, MLOps, MlFlow
  • AWS Stepfunction, AirFlow
  • Good communication and presentation skills with the ability to convey mathematical concepts to SMEs
  • Ability to technically lead and mentor scientists and engineers
  • Google Earth Engine, ArcGIS/QGIS
  • Top tier publication and research record

Duration: Full Time

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.

 

Location
Bangalore
Minimum Work Experience:
1 year
Maximum Work Experience:
5 years
Maximum CTC (in lakhs per annum):
200.0
Mandatory SkillSet:
Statistics & EDA, Python, Machine Learning, Deep Learning, Computer Vision, Cloud Computing.
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