Edge Computing Specialist

21 hours ago

Cochin, Kerala, India beBeeData Full time US$ 1,50,000 - US$ 2,00,000

As a leading expert in edge computing, you will reimagine how satellites process and deliver intelligence from orbit.

We are specialists in 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

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.

Key Responsibilities
  • Proactively leverage modern AI tools to enhance productivity across the data science lifecycle (data wrangling, model design, testing, documentation, etc.).
  • Design and implement state-of-the-art computer vision and machine learning models for satellite imagery (optical, SAR, multispectral, hyperspectral, thermal).
  • Train and fine-tune deep learning models for edge deployment (on-board satellites), balancing performance with efficiency, power, and computational constraints.
  • Provide machine learning operations, orchestration, and workflow best practices.
  • Cross-Functional Collaboration: Work with GIS engineers, software teams, and product managers to integrate machine learning solutions into our broader pipeline.
  • Innovation & Research: Stay ahead of emerging trends in Edge AI, machine learning, and remote sensing, and translate them into practical solutions for space applications.
  • Data Handling: Process large, complex datasets from diverse sensors; design robust preprocessing, augmentation, and feature extraction workflows.
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.

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