About the Role

Lead a team of scientists and engineers to build custom generative AI solutions for AWS customers. Partner with technology and business teams to deliver state-of-the-art models and pipelines. Drive technical discussions with customers and manage the full lifecycle from scoping to deployment.

Key Responsibilities

• Direct a team of scientists, deep learning architects, and ML engineers to build generative AI models and pipelines
• Partner with technology and business teams to build new GenAI solutions for customers
• Be the technical face of AWS within the solution providers ecosystem and to end customers
• Drive discussions with senior technical and management personnel at customers and partners
• Hire, develop, and retain high-quality technical talent

Required Skills & Qualifications

Must Have:

• PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field
• Knowledge of Python or R or other scripting language
• Experience in building quantitative solutions as a scientist or science manager
• Experience directly managing scientists or machine learning engineers
• Experience in applying statistical models for large-scale application and building automated analytical systems

Nice to Have:

• Experience in at least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)
• Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems
• Bachelor's degree in Computer Science or equivalent

Benefits & Perks

• Inclusive team culture with employee-led affinity groups
• Mentorship and career growth resources
• Work-life balance and flexibility