Data Insights Specialist

7 days ago

Tiruchi, Tamil Nadu, India beBeeArtificial Full time ₹ 20,00,000 - ₹ 30,00,000
Space Data Analyst

We are reimagining how satellites process and deliver intelligence from orbit.

Our goal is to turn satellites into autonomous, intelligent systems that don't just capture data, but interpret it instantly.

The Role

This role requires a skilled Space Data Analyst to work on our space data analytics product Orbitfy.

The ideal candidate will have hands-on experience with AI tools and be able to leverage them to boost productivity and accelerate results.

Responsibilities
  • Design and implement state-of-the-art computer vision models for satellite imagery.
  • Train and fine-tune deep learning models for edge deployment (on-board satellites), balancing performance with efficiency, power, and computational constraints.
  • Provide MLOps, orchestration, and workflow best practices.
  • Cross-functional collaboration: work with GIS engineers, software teams, and product managers to integrate ML solutions into Orbitfy's broader pipeline.
  • Innovation & research: stay ahead of emerging trends in Edge AI, ML, 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.
  • Communication & reporting: clearly articulate technical concepts, results, and trade-offs to both technical and non-technical stakeholders.
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.
    • Exposure to C/C++, CUDA, ONNX, TensorRT, OpenVINO, or FPGA acceleration is a plus.
    • Experience with architectures such as CNNs, ViTs, GANs.
  • Domain knowledge: familiarity with satellite imagery and remote sensing preferred.
  • Good understanding of embedded systems from the perspective of deploying AI.
  • Edge AI focus: experience or keen interest in deploying models in constrained environments.

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