Chief Data Scientist

**About Our Work**

We are reimagining how satellites process and deliver intelligence from orbit. Our team specializes in satellite edge computing, developing advanced solutions that process data directly on board, enabling real-time analysis, rapid decision-making, and a significant reduction in data downlink needs.

Our vision is to turn satellites into autonomous, intelligent systems that don't just capture data, but interpret it instantly. This capability unlocks critical advantages across defense, environmental monitoring, and global communications, providing insights with speed, efficiency, and security right from space.

Based across the US, Europe, and India, our team works on solving complex challenges in earth observation, space situational awareness, and autonomous satellite operations. We're passionate, innovative, and committed to a better future for planet Earth.

**Job Summary**

As a key member of our India development team, you will work closely with the Head of Data Science to explore different use cases for our technology and strategize the product and company roadmap for the next 3-4 years.

You will be responsible for applying sophisticated modeling techniques to a modern data stack and building the future of Space Edge Computing. Excellent communication skills are required to coordinate with global teams and external partners.

**Responsibilities**

1. Design and implement state-of-the-art computer vision and ML models for satellite imagery.
2. Train and fine-tune deep learning models for edge deployment, balancing performance with efficiency, power, and computational constraints.
3. Provide MLOps, orchestration, and workflow best practices.
4. Work with GIS engineers, software teams, and product managers to integrate ML solutions into our broader pipeline.
5. Stay ahead of emerging trends in Edge AI, ML, and remote sensing, and translate them into practical solutions for space applications.

**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).

 Equal Opportunity Employment Information: Individuals seeking employment at our organization are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.