AI Expert for Defense Innovation

1 day ago


Bengaluru, Karnataka, India beBeeGeospatial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

About Geospatial AI Researcher Roles

As an expert in geospatial analysis, you will develop cutting-edge AI models to process satellite and drone imagery, detecting and classifying enemy military assets. This involves designing and implementing AI-driven change detection algorithms to monitor enemy military activity and track movements over time.

We are looking for exceptional researchers who can design robust AI pipelines that handle noisy, sparse, or adversarially manipulated data. Your skills should include experience with multi-modal sensor fusion systems, integrating EO, IR, SAR, and hyperspectral imaging for enhanced target detection.

A strong candidate will have evidence of exceptional ability through work, research, internships, or personal projects related to geospatial analysis. You should also demonstrate first principles reasoning to solve complex technical problems and mathematical & theoretical AI understanding to design solutions from scratch.

The ideal candidate will be able to research and implement self-supervised learning, contrastive learning, and few-shot learning to train models with minimal labeled data. If you thrive on solving hard problems with first-principles thinking, we want you on our team.

Key Responsibilities:

  • Develop AI models that process large-scale satellite and drone imagery to detect and classify enemy military assets.
  • Design and implement AI-driven change detection algorithms to monitor enemy military activity, detect hidden installations, and track movements over time.
  • Build multi-modal sensor fusion systems that integrate EO, IR, SAR, and hyperspectral imaging for enhanced target detection.
  • Design robust AI pipelines that can handle noisy, sparse, or adversarially manipulated data.
  • Research and implement self-supervised learning, contrastive learning, and few-shot learning to train models with minimal labeled data.

Skills & Qualifications:

  • Evidence of exceptional ability through work, research, internships, or personal projects related to geospatial analysis.
  • First principles reasoning to solve extremely complex technical problems.


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