Minimum qualifications:

• Bachelor's degree in Science, Technology, Engineering, Math, or equivalent practical experience.
  
• Experience in statistical programming language (e.g. Python), applied machine learning techniques, and using Operational Support Systems (OSS) frameworks (e.g., TensorFlow, PyTorch).
  
• Experience in AI applications (e.g., deep learning, NLP, computer vision, or pattern recognition).
  
• Experience delivering technical presentations and leading business value sessions.
  

Preferred qualifications:

• Master's degree in Computer Science, Engineering, or a related technical field.
  
• Experience designing and deploying one or more from the following Machine Learning frameworks: TensorFlow, PyTorch, JAX, Spark Machine Learning, etc.
  
• Experience training and fine tuning models in large-scale environments (e.g., image, language, recommendation) with accelerators.
  
• Experience with CI/CD solutions in the context of Machine Learning Operations and Large Language Model Operations including automation with IaC.
  
• Experience with distributed training and optimizing performance versus costs.
  
• Experience in systems design with the ability to architect and explain data pipelines, Machine Learning pipelines, Machine Learning training and serving approaches.