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 Kochi (India)
🏢 Gadgeon Smart Systems
📍 India