
Expert Satellite Imagery Analyst
5 days ago
Intelligent Systems Developer
We are looking for an expert in machine learning and computer vision to join our team of innovators. Our goal is to create autonomous systems that can process data in real-time, providing valuable insights with speed and efficiency.
The ideal candidate will have a strong background in AI-driven development, algorithm design, and model optimization. Experience with edge computing, deep learning models, and cross-functional collaboration is highly desirable.
- Main Responsibilities:
- Develop 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.
- Work with GIS engineers, software teams, and product managers to integrate ML solutions into our broader pipeline.
SUCCESS METRICS
- Delivery of our machine learning modules on schedule for satellite missions or user trials.
- Deployment of our products for multiple satellite missions.
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:
Key Technologies: Python; frameworks like TensorFlow, PyTorch, OpenCV; General Software engineering: cloud infrastructure, Docker, git best practices; etc.
Additional Requirements: 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.
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