Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 34 days ago

Data Scientist - 2

SatSure Analytics India29 open roles

Where
Bangalore
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowData Scientist - 2SatSure Analytics India · Bangalore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on SatSure Analytics India's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. SatSure Analytics India postings stay open a median of 1 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 34 days ago

SatSure Analytics India median: 1 days open

The posting

About SatSure

SatSure is a deep tech, decision intelligence company working at the nexus of agriculture, infrastructure, and climate action — creating impact for the other millions, with a focus on the developing world. As part of this mission, we're building geospatial foundation models that learn directly from Earth observation data — optical, SAR, and elevation — at scale. This role sits at the heart of that effort: architecting and training large-scale models that can generalize across geographies, sensors, and time. You'll be shaping the core intelligence layer that powers insights for millions, not just fine-tuning someone else's model.

Role:

We're looking for a Data Scientist with strong fundamentals in computer vision and machine learning to work on geospatial problems at a planetary scale. You'll develop models that turn satellite imagery into a structured, actionable understanding of the Earth's surface- work that directly impacts how decisions are made across agriculture, forestry, climate, and beyond.

This is a hands-on IC role. You'll own problems end-to-end: from formulating hypotheses and building datasets to training models, validating them rigorously, and shipping production-ready systems. You'll work with terabytes of multi-temporal, multi-sensor imagery and build solutions that generalise across geographies, seasons, and sensing modalities.

Responsibilities:

  • Develop and ship computer vision models for tasks such as semantic segmentation, change detection, super-resolution, and temporal sequence modelling.
  • Own the full lifecycle of ML projects: problem scoping, data pipeline design, model development, evaluation, deployment, and monitoring.
  • Design experiments rigorously, define meaningful metrics, and calibrate them against business outcomes.
  • Write clean, production-grade code in Python/PyTorch. Work with distributed training infrastructure and large-scale data pipelines.
  • Collaborate closely with product, MLOps, platform, and geospatial teams to translate ambiguous real-world problems into well-scoped technical solutions.
  • Communicate findings clearly through internal documents and presentations.

Must Have

  • 3+ years of applied ML/Computer Vision experience, or PhD with 1+ year of post-degree experience, in CS, EE, or a related field.
  • Strong fundamentals in semantic/instance segmentation, object detection, and encoder-decoder and transformer architectures.
  • Proven experience taking models from prototype to production.
  • Proficiency in PyTorch and Python. Familiarity with distributed training and MLOps tooling.

Good to Have

  • Experience with generative models (GANs, diffusion), self-supervised and contrastive learning, domain adaptation, semi-supervised learning, or model compression (distillation, pruning, quantisation).
  • Experience with geospatial or remote sensing data (satellite imagery, multi-spectral or SAR data, temporal modelling).
  • Exposure to agricultural applications (crop classification, crop monitoring) or forestry applications (canopy height estimation, deforestation monitoring).
  • Research publications at reputed venues or patents.
  • Experience with foundation models, representation learning, or cross-modal fusion.

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
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against SatSure Analytics India's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on SatSure Analytics India's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    SatSure Analytics India's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.