Space Data Analyst

2 days ago

Bikaner, Rajasthan, India beBeeDataScientist Full time US$ 1,80,000 - US$ 2,50,000

Explore Space Intelligence

We are pioneering a new frontier in satellite data processing.

Achieving real-time analysis, rapid decision-making, and reduced data downlink needs.

With our team of space enthusiasts, we're working on complex challenges in earth observation, space situational awareness, and autonomous satellite operations.

Job Summary

We seek a skilled professional to explore different use cases for our technology, collaborate with the CTO to strategize our product roadmap, and contribute to shaping the future of space edge computing.

Key Responsibilities

  • Develop AI-driven solutions using modern tools to enhance productivity across the data science lifecycle.
  • Design and implement state-of-the-art computer vision and ML models for satellite imagery.
  • Optimize deep learning models for edge deployment, balancing performance with efficiency and computational constraints.
  • Provide MLOps best practices and ensure robustness, reliability, and reproducibility of solutions.
  • Cross-functional collaboration with GIS engineers, software teams, and product managers to integrate ML solutions into the pipeline.
  • Stay ahead of emerging trends in Edge AI, ML, and remote sensing, and translate them into practical solutions for space applications.
  • Process large datasets from diverse sensors, design robust preprocessing and feature extraction workflows.
  • Clearly articulate technical concepts and results to both technical and non-technical stakeholders.
  • Ensure quality and validation through systematic testing, benchmarking, and validation.

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 Python skills with frameworks like TensorFlow, PyTorch, OpenCV.

> General Software engineering knowledge: cloud infrastructure, Docker, git best practices.

> Exposure to C/C++, CUDA, ONNX, TensorRT, OpenVINO, or FPGA acceleration is a plus.

> Experience with architectures such as CNNs, ViTs, GANs and foundational models etc.

> Experience with model compression 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.
  • Soft Skills:

> Ability to work independently in a remote-first setup.

> Excellent communication skills to bridge technical and product conversations across geographies.

> Curiosity, creativity, and a problem-solving mindset.

],

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