Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 10 years of experience in sales engineering.
  
• Experience with big data and machine learning frameworks such as TensorFlow, JAX, PyTorch, or scikit-learn.
  
• Experience in building machine learning solutions, machine learning operation frameworks (e.g., kubeflow), and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
  

Preferred qualifications:

• Master's degree in Computer Science, or a related technical field.
  
• Experience in architecting and developing software or infrastructure for scalable, distributed systems.
  
• Experience training and fine tuning large models (i.e., image, language, segmentation, recommendation, genomics) with accelerators.
  
• Experience with distributed training and optimizing performance versus costs.
  
• Experience designing infrastructure for specialist AI use cases and full-stack development using a front-end language (e.g., JavaScript, React, Angular) and Python development.