Senior Space Data Analyst

19 hours ago

Vijayawada, Andhra Pradesh, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

About a pioneering space data analytics company, our vision is to turn satellites into autonomous, intelligent systems that interpret data instantly.

We're passionate innovators solving complex challenges in earth observation and space situational awareness from globally distributed locations.

This role requires you to be hands-on with AI tools, leveraging them to enhance productivity and accelerate results across the entire data science lifecycle.

Responsibilities:
  • Ai-driven Development: Use modern AI tools to boost productivity and efficiency across the data science pipeline.
  • Algorithm Development: Design state-of-the-art computer vision models for satellite imagery analysis.
  • Model Optimization: Train and fine-tune deep learning models for edge deployment, balancing performance with power and computational constraints.
  • Cross-Functional Collaboration: Work with engineers and product managers to integrate machine learning solutions into our pipeline.
  • Innovation & Research: Stay ahead of emerging trends in Edge AI and remote sensing, translating them into practical solutions.
  • Data Handling: Process large 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.
  • 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.
    • 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.
Benefits:
  • Flexible work arrangements and collaboration tools enable seamless global communication.
  • Ongoing education and training opportunities help you stay current with industry developments.
EQUAL OPPORTUNITY EMPLOYMENT INFORMATION

We are an equal opportunity employer committed to diversity and inclusion.

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