Elevate your career with Workday as a Senior Machine Learning Engineer. Play a key role in scaling AI solutions and managing innovative models in a flexible work environment. As part of the AI Model Serving team, you will leverage your technical expertise to shape the platform's vision. This role emphasizes building and operating large-scale systems, ensuring seamless deployment of ML models, and driving performance across the board. By fostering a team-oriented team culture, your contributions will help Workday serve AI at scale effectively. Key Responsibilities:

- Lead design decisions for high-performance ML systems
- Implement and maintain large-scale machine learning frameworks
- Collaborate with engineering peers to enhance integration pipelines




- Troubleshoot and resolve production issues for system health
- Document and share industry best practices with the team

Requirements:

- 6+ years in software development and distributed systems
- Bachelor's in Computer Science or related field
- Expertise in Kubernetes and GPU infrastructure
- Proficiency in Python for building production code
- Familiarity with LLMs and traditional ML models

Shape the future of AI at Workday, while leading innovative solutions and nurturing team talent. #J-18808-Ljbffr

📌 Senior Machine Learning Engineer at Workday (Vancouver)
🏢 Workday
📍 Vancouver