Space Intelligence Specialist

1 week ago

Vijayawada, Andhra Pradesh, India beBeeDataScientist Full time ₹ 1,44,00,000 - ₹ 2,16,00,000

About us

We're reimagining how satellites process and deliver intelligence from orbit.

Our specialty lies in satellite edge computing, developing advanced solutions that process data directly on board, enabling real-time analysis, rapid decision-making, and a significant reduction in data downlink needs.

Our vision is to turn satellites into autonomous, intelligent systems that don't just capture data, but interpret it instantly. This capability unlocks critical advantages across defense, environmental monitoring, and global communications, providing insights with speed, efficiency, and security right from space.

We work on solving complex challenges in earth observation, space situational awareness, and autonomous satellite operations.

As part of our rapidly growing team, you'll be passionate, innovative, and committed to a better future for planet Earth.

Job Summary:

You will be working as a Data Scientist on our space data analytics product, exploring different use cases for the technology, and working closely with the CTO to strategize the product roadmap.

Our data science team is the heart and brain of our product development, offering space-derived analytics as the source of truth for key stakeholders so they can make critical and timely decisions.

The ideal candidate will have experience in using modern AI tools to enhance productivity across the data science lifecycle, designing and implementing state-of-the-art computer vision and ML models, training and fine-tuning deep learning models for edge deployment, and collaborating with cross-functional teams.

Candidate Requirements:

  • Bachelor's or Master's in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • 3–8 years in data science, with demonstrated hands-on experience in computer vision, image processing, or machine learning.
  • Technical Skills:

Strong in Python; experience with frameworks like TensorFlow, PyTorch, OpenCV. General Software engineering: cloud infrastructure, Docker, git best practices, etc. Exposure to C/C++, CUDA, ONNX, TensorRT, OpenVINO, or FPGA acceleration is a plus.

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