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Computer Vision & Edge Ai Engineer @ Gadgeon Medical

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 Computer Vision & Edge Ai Engineer

Job Description

The CV + Edge AI Engineer develops AI solutions for visual understanding, document parsing, and multimodal processing. This role enables new 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.
Experience
  • 4 + Years

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Computer Vision
Employement Type: Full time

Contact Details:

Company: Gadgeon Medical
Location(s): Kochi

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Keyskills:   Computer science Computer vision Backend Image processing data science Opencv Deployment AWS Downstream Python

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Gadgeon Medical

We specialize in building future-ready AI solutions, impactful design experiences, scalable architecture, and standardized approaches for speed and quality. Our portfolio comprises innovative solutions for industry leaders and widely adopted open-source projects.