- 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, noisy-label learning, Super-resolution, anomaly detection, clustering, Model compression: distillation, pruning, quantization.

- PyTorch, Python, SQL, distributed systems (Spark), MLOps for large-scale training, data pipelines, and deployment.

Bonus:

- SAR (VV/VH), NDVI, FCC, multispectral optical data, Temporal modeling (SITS, forecasting, seasonal dynamics), Cross-modal fusion (SAR+Optical, EO+tabular/ground).

- First-authored publications in ICLR, NeurIPS, CVPR, ICCV, ECCV, ICML, AAAI, IGARSS, IEEE TGRS, etc.

- Experience with geospatial datasets, climate models, foundation models, or EO analytics.

Benefits:

- Medical Health Cover for you and your family including unlimited online doctor consultations.

- Access to mental health experts for you and your family.

- Dedicated allowances for learning and skill development.

- Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves.