Data Analytics Specialist

7 days ago

Bhavnagar, Gujarat, India beBeeMachineLearning Full time US$ 1,20,000 - US$ 1,50,000
Job Title: Data Scientist">

At our organization, we're reimagining how satellites process and deliver intelligence from orbit.

We specialize 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.

This capability unlocks critical advantages across defense, environmental monitoring, and global communications, providing insights with speed, efficiency, and security right from space.

We are looking for a skilled professional to contribute to the growth of our space data analytics product, Orbitfy.

The successful candidate will have hands-on experience with AI tools, a strong background in machine learning, and excellent communication skills.

Responsibilities include:

  • Developing and implementing state-of-the-art computer vision and ML models for satellite imagery.
  • Designing and optimizing deep learning models for edge deployment on-board satellites.
  • Collaborating with engineering, product, and CTO teams to apply sophisticated modeling techniques to a modern data stack.
  • Providing MLOps, orchestration, and workflow best practices.

SUCCESS METRICS

  • Delivery of LPL's machine learning modules on schedule for satellite missions or user trials.
  • Work on the deployment of LPL's products for multiple satellite missions.
  • Demonstrated productivity gains and accelerated project outcomes through the adoption of AI tools.

REQUIREMENTS

  • Education: Bachelor's or Master's in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • Experience: 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.

  • Domain Knowledge: Familiarity with satellite imagery and remote sensing preferred (but not mandatory if strong ML background).
  • Good understanding of embedded systems from the perspective of deploying AI.
  • Edge AI Focus: Experience or keen interest in deploying models in constrained environments (e.g., embedded systems, on-board devices).

Join us in shaping the future of space intelligence

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