AI Space Visionary

We are seeking an accomplished Data Scientist to join our India development team working on space data analytics product Orbitfy. Our company is revolutionizing satellite data processing and delivery from orbit.

The successful candidate will be responsible for leveraging advanced solutions that process data directly on board, enabling real-time analysis and rapid decision-making. This remote-first role requires excellent communication skills to coordinate with global teams and external partners.

About the Role:

• Proactively use modern AI tools to enhance productivity across the data science lifecycle (data wrangling, model design, testing, documentation, etc.).
• Design and implement state-of-the-art computer vision and ML models for satellite imagery (optical, SAR, multispectral, hyperspectral, thermal).
• 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.
• Documentation and Reporting: Maintain detailed documentation of algorithms, models, and processes; prepare reports and presentations for technical and non-technical audiences.

Key Responsibilities:

• Delivery of LPL's machine learning modules on schedule for satellite missions or user trials.
• Work on the deployment of LPL's products for multiple satellite missions.
• Demonstrated productivity gains and accelerated project outcomes through the adoption of AI tools.
• Effective collaboration and communication across distributed teams.
• Contributions that shape the product roadmap and strengthen Little Place Labs' position in edge-based space intelligence.

Your Qualifications:

• 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, 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.