Space Analyst

Revolutionizing Space Intelligence Little Place Labs is a pioneer in the field of satellite edge computing. Our focus on real-time analysis enables rapid decision-making and significantly reduces data downlink needs. We envision satellites as autonomous, intelligent systems that capture and interpret data instantly. This capability unlocks critical advantages across defense, environmental monitoring, and global communications, providing insights with speed, efficiency, and security from space.
Our Team

• Our team of mission-driven, space enthusiasts is passionate, innovative, and committed to a better future for planet Earth.
• As a key member of our India development team, you will be part of LPL's space data analytics product Orbitfy, exploring different use cases for the technology and working closely with the CTO to strategize the product and company roadmap.
• Our data science team is the heart and brain of our product development, offering space-derived analytics as the source of truth for key stakeholders so they can make critical and timely decisions.

We're looking for someone who is hands-on, embraces AI tools in day-to-day workflows, and leverages them to boost productivity and accelerate results.

Responsibilities

1. Proactively utilize modern AI tools to enhance productivity across the data science lifecycle (data wrangling, model design, testing, documentation, etc.).
2. Design and implement state-of-the-art computer vision and ML models for satellite imagery (optical, SAR, multispectral, hyperspectral, thermal).
3. Train and fine-tune deep learning models for edge deployment (on-board satellites), balancing performance with efficiency, power, and computational constraints.
4. Provide MLOps, orchestration, and workflow best practices.
5. Cross-functional collaboration: work with GIS engineers, software teams, and product managers to integrate ML solutions into Orbitfy's broader pipeline.
6. Innovation & Research: stay ahead of emerging trends in Edge AI, ML, and remote sensing, and translate them into practical solutions for space applications.
7. Data handling: process large, complex datasets from diverse sensors; design robust preprocessing, augmentation, and feature extraction workflows.
8. Communication & Reporting: clearly articulate technical concepts, results, and trade-offs to both technical and non-technical stakeholders in a distributed team.
9. Quality & Validation: ensure robustness, reliability, and reproducibility of solutions through systematic testing, benchmarking, and validation.
10. Documentation and reporting: maintain detailed documentation of algorithms, models, and processes; prepare reports and presentations for technical and non-technical audiences.

Success metrics include delivery of LPL's machine learning modules on schedule, effective collaboration and communication across distributed teams, and contributions that shape the product roadmap and strengthen Little Place Labs' position in edge-based space intelligence.

Requirements include a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field, 3–8 years of experience in data science, and strong Python skills with experience using frameworks like TensorFlow and OpenCV.

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