AI Computer Vision Engineer — India Remote

Role Overview

We are looking for an experienced AI Computer Vision Engineer to join our project team and support the design, development, integration, and deployment of AI-powered computer vision solutions. The ideal candidate will have strong hands-on experience in Computer Vision, Deep Learning, Python, image/video analytics, and AI model development, with the ability to take models from experimentation and prototyping through production deployment.

Responsibilities

• Design, develop, train, and deploy Computer Vision and Deep Learning models for real-world business applications.
• Develop AI solutions for image and video analytics, including object detection, classification, segmentation, tracking, OCR, and related use cases.
• Build and optimize models using frameworks such as PyTorch and/or TensorFlow.
• Develop image and video processing pipelines using Python and OpenCV.
• Implement and fine-tune object detection models using YOLO, Faster R-CNN, and similar architectures.
• Implement object tracking and video analytics using technologies such as ByteTrack and DeepSORT.
• Work with modern vision architectures, including Vision Transformers (ViT), Swin Transformer, SAM 2, and CLIP.
• Integrate AI/Computer Vision models with enterprise applications, APIs, and production systems.
• Optimize model accuracy, inference performance, latency, memory utilization, and scalability.

Requirements

• 3–6 years of relevant experience in Computer Vision / AI / Deep Learning.
• Strong hands-on experience in Computer Vision and Deep Learning.
• Strong Python programming skills.
• Experience with OpenCV and image/video processing.
• Hands-on experience with YOLO and object detection frameworks.
• Strong experience with TensorFlow and/or PyTorch.
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electronics, Engineering, or a related technical discipline.

Skills

• Python
• PyTorch
• TensorFlow
• OpenCV
• YOLO