Sr/Jr AI/ML Engineer Satellite Surveillance & Predictive Analytics Neemus Software

0.0 - 5.0 years

2 - 7 Lacs

new delhi, hyderabad

Work from Office

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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