Vision and Imaging - Intern Intern

Freshers Required.

Roles & Responsibilities:

1. Model development: Train, fine-tune, and evaluate deep learning models for object

detection, classification, and tracking on EO and IR imagery.

1. Edge deployment: Optimize and deploy models to NVIDIA Jetson and other edge AI

accelerators using TensorRT, ONNX, and TFLite. Profile, quantize, and squeeze real-time performance out of constrained hardware.

1. Real-time pipelines: Help build and maintain multi-camera streaming and inference

modules.

1. Datasets & evaluation: Curate and augment EO/IR datasets, build evaluation

harnesses, and run structured experiments to track model quality over time.

1. Prior experience handling and using Cameras would be great.
2. Cross-functional work: Collaborate with systems, embedded, and product teams to take a model from research prototype to a fielded product.

Other Competencies:

1. Experience with hands-on development of code for real time scenarios, not limited to PC/Cloud related developments.
2. Computer / Technical Skills.
3. Software Development in C++ and Python.