Posted on: 10/11/2025
Description :
- Develop and fine-tune AI models for object detection, OCR, anomaly prediction, and translation.
- Optimize inference for edge hardware (Jetson, ARM, etc.).
- Work with computer vision, NLP, and multimodal datasets from live defence environments.
- Integrate AI modules with field devices and command dashboards.
- Run rapid experiments to validate hypotheses and convert them into deployable POCs.
- Collaborate with hardware and software engineers for end-to-end integration.
Requirements :
- Hands-on with Python, TensorFlow, PyTorch, and OpenCV.
- Experience in vision, NLP, and multimodal AI systems.
- Strong understanding of edge inference optimization (TensorRT / ONNX / quantization).
- Prior experience with OCR, speech-to-text, or image change detection is a plus.
- Curious, fast learner, and comfortable with unstructured problem-solving for national defence applications.
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