Description

You will design, develop, and deploy computer vision applications for high-speed recognition and pose estimation.

Responsibilities

• Design and develop scalable, real-time computer vision applications using object-oriented Python.
• Implement and enhance state-of-the-art detection and pose estimation algorithms in production environments.
• Analyze and evaluate academic and industrial research to solve technical recognition challenges.
• Perform detailed testing and performance analysis on algorithms using continuous integration tools.

Required Skills

• 7+ years of professional experience in software or AI development.
• Proficiency in Python and Bash scripting within a Linux environment.
• Strong experience with PyTorch or TensorFlow.
• Deep understanding of neural network architectures, layer details, loss functions, and optimization.
• Expertise in data manipulation using NumPy, SciPy, Matplotlib, and scikit-learn.
• Experience with Jupyter Notebooks and algorithm implementation like YOLO.
• Bachelor’s or Master’s degree in a relevant field.

Key Skills

Education

Bachelor’s/Master’s degree