We are looking for a Senior Data Scientist/TL in our EO Applied Data Science (EO Data) Team. Our mission is realized through foundational research and development in applied machine learning. With a plethora of Geospatial Data Science use-cases that we have solved so far, such as Land Use and Land Cover (LULC), Crop Classification, Sowing and Harvest Progression, Change Detection, Route Optimization, Satellite Image Time-Series (SITS) classification, Image2Image (I2I) Translation, Cross Modal Fusion etc, we are now focusing on advancing the next-generation Machine Learning (ML) applications, and surpass the State-Of-The-Art (SOTA), especially in more ambiguous, complex geographies.
We look forward to applying our research to critical products, while touching the lives of millions of users, via revolutionary, real, and near-real time large-scale software systems utilizing Terabytes of data. At the core of such systems, we are envisioning foundational geospatial data science models that are season, modality and ground agnostic.
We have been at the forefront of adaptable and efficient models, as evidenced by our findings through publications at top ML/GRS conferences.
About SatSure:
SatSure is a deep tech, decision intelligence company that leverages Earth-Observation (EO) data to solve crucial problems at the nexus of agriculture, finance, infrastructure, utilities, aviation, energy, climate, to name a few. Our goal is to create an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all.
With a founding team having roots in the Indian Institute of Space Science and Technology (IIST), Indian Space Research Organisation (ISRO), Indian Institute of Remote Sensing (IIRS), and the leadership team having diverse backgrounds (IBM, Samsung, Intel, USC, IITKGP, IITG, IITM), we value technical innovation and scale. If you are interested in working in an environment that focuses on the impact on society, driven by cutting-edge technology, and where you will have the freedom to work on innovative ideas and be creative with no hierarchies, SatSure is the place for you.
Roles & Responsibilities:
Qualification:
Must-have:
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): Convolutional Neural Networks (CNNs), LSTMs/RNNs/GRUs, Transformers, UNet, YOLO, RCNN, Encoder-Decoder Architectures, Generative Models (GAN, VAE, Diffusion), Contrastive Learning, Self-Supervised Learning, Semi-Supervised Learning, Representation Learning, Image Super Resolution, Traditional Machine Learning (Classification, Regression, Clustering), Active Learning, Learning with Noisy Labels, Multimodal Learning, Synthetic Aperture Radar (SAR)/VV-VH bands, Normalized Difference Vegetation Index (NDVI), False Colour Composite (FCC), Dimensionality Reduction (PCA, UMAP, Isomap), Time-Series Modeling/ Forecasting, Model compression (Distillation, Pruning, Quantization), Automatic Mixed Precision training, Fourier Neural Operator (FNO), Climate+AI, Domain Adaptation, Domain Generalization, Anomaly Detection etc.Candidates with prior publications in (main tracks/ workshops of) ICLR, CVPR, ICCV, ECCV, NeurIPS, ICML, AAAI, IJCAI, ACL, EMNLP, TACL, NAACL, TMLR, IGARSS, InGARSS, IEEE Transactions, etc, would have an edge too (with preference to first-authored ones).Proficiency in at least one general programming language (preferably, Python), along with strong hands-on experience with ML frameworks (e.g. PyTorch) in terms of training large, optimized, scalable, ML models.Strong verbal and written communication skills.Experience with SQL, large scale distributed systems (e.g., Spark), MLOps will be handy.Benefits:
Interview Process:
Link to SatSure blogs
Read LessWe are looking for a Machine Learning Operations Engineer to join our team, to design, build, and integrate ML Ops for large-scale, distributed machine learning systems, focusing on cutting-edge tools, distributed GPU training, and enhancing research experimentation.
About SatSure:
SatSure is a deep tech, decision Intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all.
Join us to be at the forefront of building a deep tech company from India that solves problems for the globe.
Roles & Responsibilities:
Architect, build and integrate end-to-end life cycles of large-scale, distributed machine learning systems i.e. ML Ops using cutting-edge tools/frameworks.Develop tools and services for explainability of ML solutions.Implement distributed cloud GPU training approaches for deep learning models.Build software/tools that improve the rate of experimentation for the research team and extract insights from it.Identify and evaluate new patterns and technologies to improve the performance, maintainability, and elegance of our machine learning systems.Contribute to and execute technical projects to completion. Collaborate with peers to develop requirements and monitor progress.Collaborate with engineers across various functions to solve complex data problems at scale.Qualification:
5 - 8 years of professional experience in implementing MLOps framework to scale up ML in production.Master's degree or PhD in Computer Science, Machine Learning / Deep Learning domainsMust-haves:
Hands-on experience with orchestration and pipeline tools like Kubernetes, Apache Airflow, etc., and ML lifecycle management tools such as MLflow, SageMaker, or similar, covering model training, inference, evaluation, and deployment.Proficient in deploying ML models using frameworks like Ray Serve, TorchServe, TensorFlow Serving, or NVIDIA Triton Inference Server.Strong foundation in ML model training frameworks such as PyTorch, PyTorch Lightning, TensorFlow, etc.Experience leveraging GPU computing for parallel processing of data and model training.Solid software engineering skills with a track record of building production-grade systems.Advanced programming skills in Python.Proven experience in designing and implementing end-to-end data systems in roles like ML Engineer, ML Platform Engineer, or similar.Familiarity with cloud-based data processing tools and services such as AWS (S3, ECR, Lambda), Spark, Dask, Elasticsearch, Presto, and SQL.Exposure to geospatial or remote sensing data is an added advantage.Core Competencies:
Strong debugging and critical thinking capabilities.Excellent analytical and problem-solving skills.Ability to thrive in fast-paced, collaborative team environments.Benefits:
Medical Health Cover for you and your family, including unlimited online doctor consultationsAccess to mental health experts for you and your familyDedicated allowances for learning and skill developmentComprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leavesTwice a year appraisalInterview Process:
Intro callAssessmentPresentationInterview rounds (ideally up to 3-4 rounds)Culture Round / HR round Read LessWe are looking for an Associate Product Manager - Data Products who is passionate about building data-driven solutions from the ground up. This role is ideal for someone who thrives in 0-to-1 journeys, is comfortable working with statistics, and can drive rapid prototyping alongside clients to discover product-market fit (PMF).
About SatSure:
SatSure is a Series A+ startup working at the intersection of space technology, remote sensing, and AI/Computer Vision. We solve critical problems in financial inclusion for smallholder farmers, climate sustainability, and infrastructure asset monitoring. With a growing team of 150+ dreamers, our vision is to build a global satellite company that pushes the boundaries of what data from space can achieve for people and businesses on Earth.
There is no playbook yet for scaling a company like ours from 50 to 500 enterprise customers-but we are writing it, and you could be part of it.
Role:
You will collaborate with business teams to scale solutions in specific customer segments, and work closely with data scientists to define success criteria and shape product roadmaps. While experiment design is primarily the responsibility of Data Science Managers (DSMs), you will work hand-in-hand with them to align product decisions with modelling approaches and data exploration.
Responsibilities:
Driving Product-Market Fit problem statements
Lead 0-to-1 product discovery journeys to identify and validate customer problems and PMF. Engage with clients in specific segments to prototype rapidly and co-create solutions. Evolve prototypes into scalable, common data product roadmaps. Apply first-principles thinking and high agency in problem-solving.Collaboration with Data Science
Work closely with Data Science teams to iterate through experiments.Support DSMs in defining modelling success criteria while they decide on modelling approaches, sensor data, and feature exploration. Partner with data scientists to monitor model and product performance against defined criteria.Product Development & Roadmap
Translate early prototypes into structured product backlogs and incremental releases.Prioritize trade-offs between features, customer needs, and product scalability.Ensure continuous feedback loops with clients to refine MVPs and align with long-term product strategy.Driving Market & Business Success
Collaborate with business teams to help scale offerings within different customer segments. Contribute to GTM (go-to-market) strategies alongside marketing and sales teams.Ensure responsible AI practices and ethical data usage in product development.Qualification:
Bachelor's in technology, statistics, or a related field. 1-2 years of product management, business analysis, or equivalent experience (internships or early-career roles welcome).Must Have:
Strong comfort with statistics and data analysis to inform product decisions. High agency and first-principles thinking in approaching problems.Ability to work with rapid prototyping cycles and co-create solutions with clients. Excellent communication, interpersonal, and stakeholder management skills.Good to Have:
Exposure to working with multimodal data (e.g., sensor, geospatial, text, imagery). Research background or interest in data science approaches for product development. Familiarity with AI/ML concepts, experiment design, or data products.Benefits:
Opportunity to contribute to building futuristic data products at the intersection of AI and space technology. Flat organizational structure with strong values of empathy, problem-solving, integrity, customer focus, and ownership. Learning and skill development allowances, broadband and remote work support, medical insurance, and more.Medical Health Cover for you and your family, including unlimited online doctor consultationsAccess to mental health experts for you and your familyComprehensive leave policy with casual leaves, paid leaves, marriage leaves, and bereavement leavesTwice a year appraisalInterview Process:
Intro callCase studyInterview rounds (ideally up to 3-4 rounds)Culture Round / HR round Read LessAs a Data Engineer specializing in geospatial data, your primary responsibility is to design, build, and maintain data infrastructure and systems that handle geospatial information effectively. You will work closely with cross-functional teams, including data scientists, geospatial analysts, and software engineers, to ensure that geospatial data is collected, processed, stored, and analyzed efficiently and accurately.
About SatSure
SatSure is a deep tech, decision Intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all.
If you are interested in working in an environment that focuses on the impact on society, driven by cutting-edge technology, and where you will be free to work on innovative ideas and be creative with no hierarchies, SatSure is the place for you.
Key Responsibilities:
Data Pipeline Development: Design and implement robust data pipelines to acquire, ingest, clean, transform, and process geospatial data from various sources such as satellites, aerial, drones, and geolocation services.Data Ingestion, Storage and Extraction: Develop data models and schemas tailored to geospatial data structures, ensuring optimal performance and scalability for storage and retrieval operations.Spatial Database Management: Manage geospatial databases, including both traditional relational databases (e.g., PostgreSQL with PostGIS extension) and NoSQL databases (e.g., MongoDB, Cassandra) to store and query spatial data efficiently.Geospatial Analysis Tools Integration: Integrate geospatial analysis tools and libraries (e.g., GDAL, GeoPandas, Fiona) into data processing pipelines and analytics workflows to perform spatial data analysis, visualization, and geoprocessing tasks.Geospatial Data Visualization: Collaborate with data visualization specialists to create interactive maps, dashboards, and visualizations that effectively communicate geospatial insights and patterns to stakeholders. (frontend related)Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems, leveraging techniques such as indexing, partitioning, and parallelization to optimize geospatial data workflows.Data Quality Assurance: Implement data quality checks and validation procedures to ensure the accuracy, completeness, and consistency of geospatial data throughout the data lifecycle.Geospatial Data Governance: Establish data governance policies and standards specific to geospatial data, including metadata management, data privacy, and compliance with geospatial regulations and standards (e.g., INSPIRE, OGC).Collaboration and Communication: Collaborate with cross-functional teams to understand geospatial data requirements and provide technical expertise and support. Communicate findings, insights, and technical solutions effectively to both technical and non-technical stakeholders.Requirements:
Must-have:
Bachelor's or Master's degree in Computer Science or a related field.3-9 years of experience working in the field and deploying the pipelines in production.Strong programming skills in languages such as Python, Java, or Scala, with experience in geospatial libraries and frameworks (e.g., Rasterio, Shapely).Experience with distributed computing frameworks (e.g., Apache Spark, Airflow) and cloud-based data platforms (e.g., AWS, Azure, Google Cloud Platform).Familiarity with geospatial data formats and standards (e.g., GeoJSON, Shapefile, KML) and geospatial data visualization tools (e.g., Mapbox, Leaflet, Tableau).Strong analytical and problem-solving skills, with the ability to work with large and complex geospatial datasets.Good-to-have:
Proficiency in SQL and experience with geospatial extensions for relational databases (e.g., PostGIS).Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.Nice to have experience with geospatial libraries such as Rasterio, Xarray, Geopandas, and GDAL.Nice to have Knowledge of distributed computing frameworks such as Dask.STAC, GeoParquet, Cloud native tools.Productionising Data Science code.The role of a Data Engineer for Geospatial Data is crucial in enabling organizations to leverage the power of geospatial information for various applications, including urban planning, environmental monitoring, transportation, agriculture, and emergency response.
Benefits:
Medical Health Cover for you and your family, including unlimited online doctor consultationsAccess to mental health experts for you and your familyDedicated allowances for learning and skill developmentComprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leavesTwice a year appraisalInterview Process:
Intro callAssessmentPresentationInterview rounds (ideally up to 3-4 rounds)Culture Round / HR round Read LessWe are looking for a Director of AI/ML R&D for our Earth Observation Data Team, you will spearhead the development and implementation of cutting-edge AI and machine learning initiatives. You will lead a multidisciplinary team of data scientists, engineers, and researchers to enhance our capabilities in processing and analyzing earth observation data, delivering impactful solutions for our stakeholders.
About SatSure:
SatSure is a deep tech, decision intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all.
If you are interested in working in an environment that focuses on the impact on society, driven by cutting-edge technology, and where you will have the freedom to work on innovative ideas and be creative with no hierarchies, SatSure is the place for you.
Key Responsibilities:
Qualifications:
Must-have:
Benefits:
Interview Process:
Link to SatSure blogs
Read Less