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 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.

(ref:hirist.tech)