Minimum qualifications:

• Bachelor's degree in Science, Technology, Math, Engineering, or equivalent practical experience.
• 10 years of experience in AI applications (e.g., Deep Learning, NLP, Computer Vision, or Pattern Recognition).
  
• Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).
  
• Experience delivering technical presentations and leading business value sessions.
  

Preferred qualifications:

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