COMPUTER VISION & EDGE AI ENGINEER

Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. As a Computer Vision & Edge AI Engineer at Gadgeon, you will be responsible for developing AI solutions for visual understanding, document parsing, and multimodal processing. In this role, you will enable new use cases beyond text by integrating image, OCR, and edge-deployable AI capabilities. Key Duties/ Responsibilities: - Develop OCR and image processing pipelines using tools like OpenCV, Tesseract, or AWS Textract. - Train and fine-tune visual models such as YOLOv8, SAM, CLIP for internal Proof of Concepts (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: - Proficiency in OpenCV, YOLOv8, SAM, BLIP2, Tesseract. - Experience with ONNX, TensorRT, AWS Panorama, Jetson Nano. - Strong programming skills in Python, PyTorch/TensorFlow, edge deployment toolchains. - Familiarity with visual AI stacks like YOLOv8, SAM, CLIP, or equivalent. - Capability to structure visual outputs for downstream agent or LLM processing. Qualification: - Bachelors or Master's degree in Computer Science, AI/ML, Data Science, or related fields. Experience: - Minimum of 4 years of relevant experience in the field.,