Data Scientist - 2

About the role

We have delivered high-impact Geospatial Data Science solutions across a wide spectrum of EO applications, including Land Use & Land Cover mapping, Crop Classification, Sowing and Harvest Progression, Change Detection, Route Optimization, Satellite Image Time-Series (SITS) classification, Image2Image (I2I) Translation, Cross Modal Fusion etc.

What you'll do

• Work in collaboration with product owners, applied data scientists, MLOps, geospatial experts, platform engineers to envision solutions to real-world
• Focus on identifying and solving customer problems with simple and elegant solutions, while working backwards from customer requirements
• Quickly propose and validate hypotheses to direct the product roadmaps
• Own time-bound, End-to-End (E2E) solutioning of large-scale ML applications, ranging from resource, requirements gathering, data collection, cleaning and annotation
• Brainstorm, deep dive, implement, debug into fundamentals of the systems (e.g., architectures, losses, efficiency, serving etc), while writing clean

What you need

• 4–7 yrs of experience
• Machine learning
• SQL
• Python
• MLOps
• Computer vision
• NLP
• M.Tech or PhD

Good to have

• ETL
• PyTorch
• Spark
• Business analysis
• IPR