Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 10 years of experience in virtualization or cloud native architectures in a customer-facing or support role.
  
• Experience in pre-sales and consulting, delivering technical presentations, and leading discovery and planning sessions with customers with defined scope and success criteria.
• Experience with big data and machine learning frameworks (e.g., Tensorflow, PyTorch, or scikit-learn), and implementing MLOps at enterprise scale on cloud platforms.
  

Preferred qualifications:

• Experience in building and deploying data and ML pipelines with a focus on automation.
  
• Experience building machine learning solutions, MLOps frameworks like kubeflow, and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks, etc.).
  
• Experience in understanding a complex customer’s existing software workloads, and the ability to define a technical migration roadmap to the cloud reflecting specific customer needs.
  
• Familiarity with prompt tuning and experience delivering successful prototypes.
  
• Familiarity with machine learning programming frameworks such as LangChain, PyTorch, HuggingFace, and TensorFlow.
  
• Engage and support Thai-speaking or Bahasa Indonesia-speaking customers to navigate industry standards.