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About the role
- SatSure is looking for a Lead Data Scientist (Computer Vision) to drive the next generation of geospatial intelligence models powering critical products across agriculture, finance, infrastructure, utilities, energy, and climate. - This is a senior hands-on technical leadership role responsible for solving complex Earth Observation challenges using advanced ML/CV, and leading teams toward state-of-the-art, production-ready solutions. About Team and Mission : - Our EO Applied Data Science team builds foundational research and applied ML systems that work across seasonal, geographic, and sensor variations from multispectral and SAR to multi-temporal satellite data. - 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. - We now aim to push beyond the existing SOTA and build large-scale, real-time systems that operate with terabytes of satellite data, delivering insights that impact millions of end users, especially in developing markets and more ambiguous/complex geographies. About SatSure: - SatSure is a deep-tech decision intelligence company that leverages Earth Observation (EO) data to solve crucial problems across agriculture, finance, infrastructure, utilities, aviation, energy, and climate, to name a few. - Our goal is to create meaningful impact for the "other millions," with a focus on the developing world. - We aim to make insights from Earth Observation data accessible to all. - With a founding team rooted in the Indian Institute of Space Science and Technology (IIST), Indian Space Research Organisation (ISRO), and the Indian Institute of Remote Sensing (IIRS), and a leadership team with diverse industry experience (IBM, Samsung, Intel, USC, IITKGP, IITG, IITM), we value technical innovation and scale. - If you are interested in working in an environment focused on societal impact, driven by cutting-edge technology, and offering the freedom to innovate and be creative with no hierarchies, SatSure is the place for you. Key Responsibilities: As a Lead Data Scientist Computer Vision, you will: - Own technical charters and roadmap for multiple ML/CV initiatives. - Lead and mentor applied scientists, mapping complex EO problems into actionable, scalable technical solutions. - Drive hypothesis generation, experimentation, architecture design, model development, and deployment for production ML pipelines. - Own E2E delivery of large-scale ML/CV systems from problem framing to data design, model development, deployment, and monitoring. - Collaborate with Product, MLOps, Platform, and Geospatial experts to convert ambiguous requirements into elegant solutions. - Communicate technical findings to leadership, customers, and cross-functional partners with clarity and precision. - Assist data science managers in effective project, resource management, and timely deliverables (in an agile manner), via showcasing strong sense of ownership and accountability. - Build reliable, efficient models that scale across geographies, seasons, sensors, and business domains. - Write clean, scalable production-grade code in Python/PyTorch. - Conduct A/B experiments and calibrate ML metrics to business KPIs. - Innovate on model architectures (Transformers, diffusion, generative, time-series models, self-supervision, multimodal fusion and temporal modeling) to advance in-house geospatial ML SOTA. - Represent your work through patents, technical documents, internal whitepapers, and publications (as applicable). - Contribute to hiring and technical excellence, including mentoring junior team members and interns. Experience: - Tech/MS (Research)/PhD in CS, EE, EC, Remote Sensing, or related fields preferably from leading academic/industrial labs/institutes/corporates. - Exceptional undergraduates with strong research/industry experience will also be considered. Experience : - 6+ years of applied ML/Computer Vision experience (industry preferred). - 2+ years in a technical leadership role people and project leadership. - Proven experience taking ML models from POC - production - monitoring. Must have Technical Expertise: - To be eligible for this role, we are looking for candidates with the following qualifications:. - A proven track record of relevant experience in computer vision, NLP, learning theory, optimization, ML+Systems, foundational models, etc. - Technically familiar with some, or most of (as evidenced by problem solving skills in novel scenarios): Transformers, UNet, RNNs/LSTMs/GRUs, YOLO/RCNN/Encoder-Decoder architectures, Generative models (GAN, VAE, Diffusion), Self-supervised & contrastive learning, Representation learning, domain adaptation & generalization, Semi-/Active learning - Sa
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