AI / Computer Vision Engineer

Position: AI / Computer Vision Engineer

Location: Mohali (On-site)

Experience: 3+ Years

• Role Overview
• We are looking for a hands-on AI / Computer Vision Engineer to design, develop, and deploy real-time vision-based
• analytics solutions. The ideal candidate should have strong experience in model development, optimization, and
• production deployment of computer vision systems. This role requires strong execution capability, practical
• problem-solving skills, and the ability to deliver production-ready AI systems within defined timelines.

Key Responsibilities

• ? Develop and deploy real-time object detection and classification models
• ? Build computer vision pipelines for image and video analytics
• ? Implement rule-based and AI hybrid detection systems
• ? Optimize models for real-time inference on GPU / edge devices
• ? Improve model performance by reducing false positives and enhancing accuracy
• ? Integrate AI modules with backend systems and dashboards
• ? Handle video stream processing (RTSP / IP camera feeds)
• ? Collaborate with cross-functional teams for system integration and deployment

Required Skills

• ? Strong proficiency in Python
• ? Strong expertise in Computer Vision and Image Processing
• ? Experience with deep learning frameworks (PyTorch / TensorFlow)
• ? Hands-on experience with object detection models (YOLO, Faster R-CNN)
• ? Experience with segmentation models (U-Net, Mask R-CNN)
• ? Strong knowledge of NumPy and Pandas
• Experience in training and fine-tuning custom datasets
• ? Understanding of model evaluation, tuning, and optimization techniques
• ? Familiarity with LLMs and RAG-based systems (good to have)

Tools & Platforms

? Experience with annotation tools such as LabelImg, CVAT, Roboflow

? Familiarity with dataset preparation, labeling workflows, and versioning

Preferred Qualifications

• ? Experience in industrial or manufacturing environments
• ? Familiarity with edge AI deployment and real-time systems
• ? Knowledge of model optimization tools (ONNX, TensorRT)
• ? Strong debugging and performance optimization skills