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Job Description

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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