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