Data Scientist 2

Bangalore - India

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Department:

Data Science

Job Summary

SatSure is looking for a 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 hands-on technical role responsible for solving complex Earth-observation challenges using advanced ML/CV techniques to deliver 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.

Roles & Responsibilities:

Work in collaboration with product owners applied data scientists MLOps geospatial experts platform engineers to envision solutions to real-world ambiguous business use-cases with low latency/ high throughput.
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 model development validation deployment monitoring etc.
Brainstorm deep dive implement debug into fundamentals of the systems (e.g. architectures losses efficiency serving etc) while writing clean production level code and conduct A/B as necessary.
Define proper output Data Science metrics and calibrate them to the desired business metrics.
Clearly communicate findings verbally and in writing to stakeholders of varied backgrounds. Have attention to detail.
Engage and initiate collaborative efforts to meet ambitious (applied research and product/client delivery) goals.
Innovate and advance State-Of-The-Art (SOTA) in-house solutions and communicate findings as IPs (patents papers) as deemed applicable by business.
Mentor junior staff interns as applicable. Assist Science managers in effective project resource management hiring and timely deliverables (in an agile manner) via showcasing strong sense of ownership and accountability.

Educaton :

(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 :

4 years of applied ML/Computer Vision experience (industry preferred).
Proven experience taking ML models from POC production monitoring.

Must have Technical Expertise:

A proven track record of relevant experience in computer vision NLP learning theory optimization MLSystems 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/EncoderDecoder 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.

Good to Have:

SAR (VV/VH) NDVI FCC multispectral optical data Temporal modeling (SITS forecasting seasonal dynamics) Cross-modal fusion (SAROptical EOtabular/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
Twice a year appraisal

Interview Process:

Intro call
Assessment
Presentation
Interview rounds (ideally up to 3-4 rounds)
Culture Round / HR round

SatSure is looking for a 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 hands-on technical role responsible for solving complex Earth-observat...

About Team and Mission :

About SatSure:

Roles & Responsibilities:

Work in collaboration with product owners applied data scientists MLOps geospatial experts platform engineers to envision solutions to real-world ambiguous business use-cases with low latency/ high throughput.
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 model development validation deployment monitoring etc.
Brainstorm deep dive implement debug into fundamentals of the systems (e.g. architectures losses efficiency serving etc) while writing clean production level code and conduct A/B as necessary.
Define proper output Data Science metrics and calibrate them to the desired business metrics.
Clearly communicate findings verbally and in writing to stakeholders of varied backgrounds. Have attention to detail.
Engage and initiate collaborative efforts to meet ambitious (applied research and product/client delivery) goals.
Innovate and advance State-Of-The-Art (SOTA) in-house solutions and communicate findings as IPs (patents papers) as deemed applicable by business.
Mentor junior staff interns as applicable. Assist Science managers in effective project resource management hiring and timely deliverables (in an agile manner) via showcasing strong sense of ownership and accountability.

Educaton :

(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 :

4 years of applied ML/Computer Vision experience (industry preferred).
Proven experience taking ML models from POC production monitoring.

Must have Technical Expertise:

A proven track record of relevant experience in computer vision NLP learning theory optimization MLSystems 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/EncoderDecoder 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.

Good to Have:

SAR (VV/VH) NDVI FCC multispectral optical data Temporal modeling (SITS forecasting seasonal dynamics) Cross-modal fusion (SAROptical EOtabular/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
Twice a year appraisal

Interview Process:

Intro call
Assessment
Presentation
Interview rounds (ideally up to 3-4 rounds)
Culture Round / HR round

Key Skills

Laboratory Experience
Immunoassays
Machine Learning
Biochemistry
Assays
Research Experience
Spectroscopy
Research & Development
cGMP
Cell Culture
Molecular Biology
Data Analysis Skills

Apply Now

About Company

SatSure

SatSure is a deep tech, decision intelligence company. We leverage advances in satellite remote sensing, machine learning, big data analytics and cloud computing to create products and solutions which help enterprises and their people make smart decisions.

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