Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 8 years of experience in software development.
  
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  
• 3 years of experience with distributed storage.
• 2 years of experience in a people management or team leadership role.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience with technical innovation within cross-functional engineering environments.
  
• Experience in 0-1 projects.
  
• Expertise building Gen AI, ML products, Agent frameworks, Agent protocols (ex: MCP, A2A), RAG, Prompt Engineering, Evals.
  
• Strong track record of mentorship and excellent communication skills.