Satellite Data Analyst

3 days ago

Hubli, Karnataka, India beBeeData Full time ₹ 9,00,000 - ₹ 17,50,000
Imagine a world where satellites are no longer just data collectors but also intelligent analysts, providing real-time insights to drive decision-making. As a Data Scientist at Little Place Labs, you will play a crucial role in shaping this vision. You will be part of the India development team responsible for the space data analytics product Orbitfy, working closely with the Head of Data Science and the CTO to strategize the product and company roadmap for the next 3-4 years.
Key Responsibilities:
  • AI-Driven Development: Utilize modern AI tools to enhance productivity across the data science lifecycle, including data wrangling, model design, testing, documentation, etc.
  • Algorithm Development: Design and implement state-of-the-art computer vision and ML models for satellite imagery (optical, SAR, multispectral, hyperspectral, thermal).
  • Model Optimization: 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 in a distributed team.
  • Quality & Validation: Ensure robustness, reliability, and reproducibility of solutions 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 in Python; experience with frameworks like TensorFlow, PyTorch, OpenCV. General Software engineering: cloud infrastructure, Docker, git best practices, etc.

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).

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