COMPUTER VISION & EDGE AI ENGINEER

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 Master's degree in Computer Science, AI/ML, Data Science, or related fields.

Experience

• 4 + Years