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Advanced Geospatial Analyst

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Bengaluru, Karnataka, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Geospatial AI Researcher Position

About the Job:

Our organization is pioneering the development of a cutting-edge AI-powered vision intelligence platform for defense applications. This advanced system integrates satellite (EO, IR, SAR, hyperspectral) and drone imagery to detect, classify, and track high-value enemy assets like tanks, radars, missile launchers, aircraft, and warships.

The successful candidate will be responsible for designing and implementing AI-driven change detection algorithms to monitor enemy military activity, detect hidden installations, and track movements over time.

The ideal candidate will have exceptional ability through work, research, internships, or personal projects related to geospatial analysis. First principles reasoning to solve extremely complex technical problems is essential. Mathematical & Theoretical AI Understanding: Ability to design AI solutions from first principles, beyond just using pre-built libraries.

Additional requirements include Multi-Modal Sensor Fusion: Experience integrating different types of sensor data for AI-driven detection, Self-Supervised & Few-Shot Learning: Ability to build AI that learns without requiring massive labeled datasets.

Working on this project offers an opportunity to contribute to groundbreaking AI research and collaborate with leading experts in the field.

Key Responsibilities:
  • Develop AI models that process large-scale satellite and drone imagery to detect and classify enemy military assets.
  • Design and implement 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 and 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.
  • Mathematical & Theoretical AI Understanding: Ability to design AI solutions from first principles, beyond just using pre-built libraries.
  • Multi-Modal Sensor Fusion: Experience integrating different types of sensor data for AI-driven detection.
  • Self-Supervised & Few-Shot Learning: Ability to build AI that learns without requiring massive labeled datasets.
Why Work with Us?
  • Contribute to innovative AI research that shapes the future of defense intelligence.
  • Collaborate with top AI engineers, defense experts, and military strategists.
  • Participate in an environment that fosters learning and growth opportunities.