Python Lead - Computer Vision Applications

Key Responsibilities:

• Design, develop, and deploy scalable computer vision applications using Python.
• Build, train, fine-tune, and optimize deep learning models for image and video analytics.
• Develop object detection, classification, segmentation, and tracking solutions using YOLO models and OpenCV.
• Create efficient image processing pipelines for real-time and batch processing applications.
• Collaborate with Data Scientists, ML Engineers, Product Managers, and Software Development teams to deliver AI-driven solutions.
• Optimize model accuracy, inference speed, and deployment performance for production systems.
• Develop and integrate REST APIs and backend services to support computer vision applications.
• Conduct code reviews, establish coding standards, and mentor junior engineers.
• Troubleshoot complex technical issues and continuously improve application performance and scalability.
• Stay current with emerging technologies, research, and best practices in Computer Vision and Artificial Intelligence.

Skills and Qualifications:

Mandatory Skills:

• 8+ years of experience in Python application development.
• Strong proficiency in Core Python and Object-Oriented Programming (OOP).
• Hands-on experience in Computer Vision and Image Processing.
• Expertise in OpenCV for image and video processing applications.
• Strong experience with YOLO models (YOLOv5, YOLOv8, or equivalent) for object detection.
• Experience with Deep Learning frameworks such as PyTorch or TensorFlow.
• Knowledge of CNN architectures and model training techniques.
• Experience developing REST APIs using FastAPI or Flask.
• Strong understanding of data structures, algorithms, and software design principles.
• Experience with Git and software development best practices.