
Sr/Jr AI/ML Engineer Satellite Surveillance
3 days ago
Experienced AI/ML Engineer to lead the design, training, and deployment of an integrated multi-model AI system for asset detection, activity monitoring, environmental analysis, and threat prediction using satellite and aerial imagery. The role will involve building specialized deep learning models (YOLOv8, U-Net, RetinaNet, LSTM, ResNet50, GAN, BERT, XGBoost) and integrating them into an operational, agentic AI framework capable of delivering real-time intelligence and early warnings to support defense and security operations.Role & responsibilities
Preferred candidate profile
- Bachelors/Masters/PhD in Computer Science, AI, Data Science, Remote Sensing, or related field.
2-5 years of hands-on experience developing and deploying deep learning models for imagery analysis. - Proven experience with YOLOv8, RetinaNet, U-Net, LSTM, ResNet, GANs, BERT, XGBoost.
- Strong Python skills with PyTorch and/or TensorFlow.
- Proficiency with geospatial libraries: GDAL, Rasterio, GeoPandas, OpenCV, Shapely.
- Experience with multi-temporal change detection and time-series modeling.
- Familiarity with cloud environments (AWS, Azure, GCP) and containerization (Docker/Kubernetes).
- Understanding of SAR, multispectral, and hyperspectral imagery.
- Excellent grasp of MLOps and model lifecycle management.
Preferred Skills
- Experience with defense, security, or intelligence projects.
- Knowledge of satellite tasking APIs (Copernicus, Planet, Maxar).
- Onboard/edge AI experience (e.g., NVIDIA Jetson, CubeSat).
- Strong skills in building rule-based AI systems and integrating them with ML predictions.
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