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AI Innovator

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Gulbarga, Karnataka, India beBeeDataScientist Full time US$ 1,25,000 - US$ 1,75,000

Little Place Labs, a leading innovator in satellite edge computing, is seeking a skilled Data Scientist to join their India development team.

The successful candidate will be part of the Orbitfy space data analytics product and explore various use cases for cutting-edge technology.

Key Responsibilities
  • AI-Driven Development: Utilize modern AI tools to enhance productivity across the data science lifecycle.
  • Algorithm Development: Design and implement state-of-the-art computer vision and ML models for satellite imagery.
  • Model Optimization: Train and fine-tune deep learning models for edge deployment, balancing performance with efficiency, power, and computational constraints.
  • MLOps, Orchestration, and Workflow Best Practices: Provide expertise in integrating ML solutions into the broader pipeline.
  • Cross-Functional Collaboration: Work closely with GIS engineers, software teams, and product managers to deliver innovative solutions.
  • Innovation & Research: Stay ahead of emerging trends in Edge AI, ML, and remote sensing, translating them into practical applications.
  • Data Handling: Process large, complex datasets from diverse sensors, designing robust preprocessing, augmentation, and feature extraction workflows.
  • Communication & Reporting: Articulate technical concepts, results, and trade-offs effectively 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 Python skills; 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 working with NVIDIA Jetson and Xilinx Versal will be a big plus. Candidates with such experience will be preferred.

Preferred Qualifications
  • Curiosity, creativity, and problem-solving mindset.
  • Excellent communication skills to bridge technical and product conversations across geographies.
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