The CV + Edge AI Engineer develops AI solutions for visual understanding, document parsing, and multimodal processing. This role enables current use cases beyond text by integrating image, OCR, and edge-deployable AI capabilities. Key Duties/ Responsibilities - Develop OCR and image processing pipelines using OpenCV, Tesseract, or AWS Textract.

- Train and fine-tune visual models (e.g., YOLOv8, SAM, CLIP) for internal PoCs.
- Integrate visual AI modules into end-to-end workflows used by LLMs or agents.
- Optimize models for edge deployments using ONNX, TensorRT, or TFLite.
- Collaborate with backend and AI teams for data structure alignment.

Leadership Skills

- Self-driven in visual AI exploration.




- Effective in prototyping and cross-functional collaboration.
- Ability to demonstrate impact through PoCs.

Required Technical Skills

- OpenCV, YOLOv8, SAM, BLIP2, Tesseract.
- ONNX, TensorRT, AWS Panorama, Jetson Nano.
- Python, PyTorch/TensorFlow, edge deployment toolchains.
- Experience with one or more visual AI stacks such as YOLOv8, SAM, CLIP, or equivalent.
- Capability to structure visual outputs for downstream agent or LLM processing.

Qualification

- Bachelor s or Masters degree in Computer Science, AI/ML, Data Science, or related fields.

📌 COMPUTER VISION & EDGE AI ENGINEER (Kochi)
🏢 Gadgeon Smart Systems
📍 Kochi