Data Scientist - 2
SatSure (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 12–25 LPA
Posted on 18 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and ship computer vision models (semantic segmentation, change detection, super-resolution, temporal sequence modeling) for geospatial problems using satellite data.
- Own end-to-end ML project lifecycle: problem scoping, data pipeline design, model development, evaluation, deployment, and monitoring at planetary scale.
- Write production-grade Python/PyTorch code; work with distributed training infrastructure and large-scale data pipelines across geographies and sensor modalities.
Minimum Requirements
- 3+ years applied ML/Computer Vision experience or PhD plus 1+ year post-degree experience in CS, EE, or related field.
- Strong fundamentals in semantic/instance segmentation, object detection, encoder-decoder and transformer architectures.
- Proven experience taking ML models from prototype to production.
- Proficiency in Python and PyTorch; familiarity with distributed training and MLOps tooling.
Ideal Candidate Profile
- Experienced in computer vision at scale with ability to solve complex geospatial problems using multi-sensor satellite imagery.
- Skilled at rigorous experimental design, metric definition aligned with business outcomes, and cross-team collaboration (product, MLOps, platform, geospatial).
- Comfortable working on challenging, large-scale ML systems requiring clean production code and integration with distributed infrastructure.