Data Scientist Lead

1 week ago

Davangere, Karnataka, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Data Scientist

We are seeking an exceptional Data Scientist to join our team. This role will be focused on developing cutting-edge AI solutions for satellite data processing and analysis.

The successful candidate will have a strong background in computer vision, machine learning, and deep learning, with hands-on experience in deploying models in constrained environments.

They will work closely with our GIS engineers and software teams to integrate ML solutions into our product pipeline and stay ahead of emerging trends in Edge AI and remote sensing.

  • AI-Driven Development: Utilize modern AI tools to enhance productivity across the data science lifecycle (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 our 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.

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 (e.g., embedded systems, on-board devices).
  • Experience or understanding of FPGAs is desirable, not mandatory.
  • Experience working with NVIDIA Jetson and Xilinx Versal will be a big plus. Candidates with such experience will be preferred.
  • 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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