Minimum qualifications:

• Bachelor's degree in Science, Technology, Engineering, Math, or equivalent practical experience.
  
• 5 years of experience with ML frameworks such as TensorFlow, Pytorch, and Scikit-learn.
  
• Experience programming or debugging code in one or more of the following: Python, Java, C, C++, .NET, Shell, Perl, or JavaScript.
  
• Ability to work non-standard hours and differing rotations/shifts.
  

Preferred qualifications:

• Experience with exploratory data analysis, model development, and auxiliary practical concerns in production ML systems.
  
• Experience developing or training models using machine learning technologies (e.g., TensorFlow, Keras, PyTorch).
  
• Experience in machine learning, recommendation systems, natural language processing, speech recognition, or computer vision.
  
• Experience in production deployment of machine learning.
  
• Experience with specific machine learning architectures (e.g., AlexNet, LSTM, Conformers, BERT).
  
• Excellent leadership and influencing skills in the application of AI or Machine Learning, with the ability to lead the design and implementation of AI-based solutions, web services, and debugging tools.