Machine Learning Engineer Lead at Workday
Job Description & How to Apply Below
As part of the senior team in Agent Factory, you will design and evolve ML systems for the next generation of intelligent Workday agents. Your leadership and technical expertise will guide collaborative efforts in machine learning and cloud platforms. With a focus on full product lifecycle management, your impact will encompass everything from model design to real-world application.
Key Responsibilities:
• Lead the design and development of ML-powered agents
• Collaborate closely with multidisciplinary teams
• Implement frameworks for large language models
• Manage the lifecycle of ML products from solution design to evaluation
• Drive innovations in data strategy and monitoring
Requirements:
• 7+ years’ experience in ML or software development fields
• 3+ years using ML frameworks like Tensor Flow
• Proven experience with cloud platforms (AWS, GCP)
• Familiarity with LLM and NLP technologies
• Strong leadership and mentoring abilities
Become a key player in redefining AI solutions as part of Workday's collaborative environment.
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