Opportunity Description
Unlock the potential of intelligent systems as a Senior Principal Machine Learning Engineer at Workday. Design and implement transformative AI agents that redefine workplace efficiency.
This role involves driving the architecture and lifecycle management of ML solutions within a collaborative environment. Your leadership skills will play a crucial part in mentoring teams and fostering innovation. Stay abreast of AI advancements to ensure the development of effective, scalable solutions that meet user needs.
Key Responsibilities:
• Architect machine learning solutions for intelligent agents
• Lead projects from inception through to production
• Collaborate with product and engineering teams for integration
• Create frameworks for agent evaluation and feedback
• Ensure high standards in model reliability and scalability
Requirements:
• 10+ years in relevant ML or data science roles
• 4+ years in TensorFlow or Pytorch
• 6+ years in production ML services
This role involves driving the architecture and lifecycle management of ML solutions within a collaborative environment. Your leadership skills will play a crucial part in mentoring teams and fostering innovation. Stay abreast of AI advancements to ensure the development of effective, scalable solutions that meet user needs.
Key Responsibilities:
• Architect machine learning solutions for intelligent agents
• Lead projects from inception through to production
• Collaborate with product and engineering teams for integration
• Create frameworks for agent evaluation and feedback
• Ensure high standards in model reliability and scalability
Requirements:
• 10+ years in relevant ML or data science roles
• 4+ years in TensorFlow or Pytorch
• 6+ years in production ML services
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Submit your application for Senior Machine Learning Engineer at Workday at Workday, Inc.
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