Job Description & How to Apply Below
In this senior-level role, you'll collaborate with engineers to build and maintain machine learning products r background should include significant experience with machine learning frameworks, particularly Pytorch and Tensor Flow, and an understanding of large language models. The focus is on continuous improvement, security, and developing products that enhance customer interactions.
Key Responsibilities:
• Develop feature-rich ML solutions across Workday’s ecosystem
• Collaborate with engineering teams for deployment and lifecycle management
• Utilize cloud computing resources for machine learning modeling
• Innovate with advancements in AI, LLMs, and orchestration frameworks
• Lead and mentor ML Engineering teams for project success
Requirements:
• 5+ years in machine learning engineering or data science
• 2+ years utilizing Pytorch or Tensor Flow
• 2+ years hosting ML models in production
• Experience with LLMs and real-world applications
• Bachelor's degree in a relevant field; advanced degree preferred
Leverage your machine learning skills to create impactful solutions for Workday’s users in Vancouver.
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