Geospatial Data Scientist

4 weeks ago


india GreenAnt Full time
We’re Hiring: Senior Software Engineer – Hydrological Modeling & Machine Learning

Are you passionate about building cutting-edge technology to tackle real-world environmental challenges? Do you have a deep understanding of

hydrology ,

geology , and

machine learning ? Join

GreenAnt , where we’re shaping the future of climate resilience with state-of-the-art Digital Twin platforms.About the Role

We are looking for a

Senior Software Engineer

to lead the development of innovative solutions that combine

hydrological modeling

and

machine learning . You’ll work at the forefront of climate risk analysis, helping to forecast critical environmental challenges like floods, deforestation, and crop yield changes. This role is for someone who thrives at the intersection of

geology, hydrology , and

AI , creating impactful tools for stakeholders in agriculture, insurance, and climate action.

What You’ll Do

Build and integrate

hydrological models

(e.g., SWAT, LISFLOOD, WFLOW) for large-scale simulation of river systems, flooding, and water resources.Develop advanced

machine learning models

(e.g., Graph Neural Networks, hybrid AI-physical systems) to enhance prediction accuracy and model real-time environmental dynamics.Engineer pipelines to process and manage large-scale

geospatial datasets

like DEMs, SAR, and Sentinel-1 imagery.Design scalable

cloud-based architectures

for real-time data ingestion, processing, and visualization.Optimize workflows for

high-performance computing

in large-scale hydrological and AI-driven simulations.Collaborate with a multidisciplinary team of domain experts, data scientists, and software engineers to deliver impactful solutions.

What We’re Looking For

A

strong background in geology and hydrology , with hands-on experience in modeling hydrological systems and understanding large-scale environmental processes.Expertise in

machine learning , particularly in

spatio-temporal modeling

and

Graph Neural Networks .Proficiency in Python and familiarity with ML libraries like TensorFlow, PyTorch, or scikit-learn.Experience processing and integrating geospatial data using tools like GDAL, rasterio, or similar.Familiarity with hydrological frameworks like SWAT, LISFLOOD, or WFLOW.Deep understanding of cloud platforms (AWS, Azure, GCP) and

distributed computing

for large-scale simulations.A problem-solving mindset with the ability to combine

AI

and

physical modeling techniques

to tackle complex challenges.

Bonus Points If You Have

Experience with

real-time satellite data ingestion , especially Sentinel-1 SAR imagery.Proficiency in

uncertainty quantification

and

ensemble modeling .Knowledge of

3D visualization platforms

like Unreal Engine or CesiumJS.Familiarity with Bayesian modeling or probabilistic approaches.

Why Join Us?

At GreenAnt, we’re more than a team – we’re a mission-driven group of innovators shaping the future of climate resilience. We combine

geospatial intelligence ,

AI , and deep domain expertise to create tools that make a global impact. With us, you’ll:Work on cutting-edge projects with world-changing potential.Collaborate in a forward-thinking, multidisciplinary environment.Enjoy flexible work arrangements and competitive benefits.

Ready to Join?

If this sounds like you, we’d love to hear from you Apply now by sending your CV and a brief portfolio of relevant work to

mario@greenant.farm . Let’s build something extraordinary together.

  • India GreenAnt Full time

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