At a Glance
- Tasks: Create AI solutions that transform HR and Finance workflows.
- Company: Join Workday, a leader in AI innovation and technology.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Other info: Collaborative team environment with a focus on innovation.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: 3+ years in data science or AI engineering; Python proficiency required.
The predicted salary is between 135000 - 165000 $ per year.
Elevate AI innovation at Workday as a Machine Learning Engineer. Join the AI Agent Engineering team to build transformative solutions for HR and Finance workflows.
We seek passionate Machine Learning Engineers with experience in data science and AI engineering.
In this role, you will collaborate with a cross-functional team and focus on crafting AI agents that enhance customer experiences.
Bring your expertise in Python, machine learning frameworks, and cloud platforms to shape how organizations utilize AI.
Key
Responsibilities
- Deliver AI-powered agents for HR and Finance functions
- Develop cross-disciplinary relationships with engineering teams
- Implement AI system lifecycles and validate outcomes
- Integrate scalable AI tools and frameworks
- Stay current with advancements in AI, LLMs, and orchestration
Requirements
- 3+ years in data science or AI engineering
- Proficient in Python, Java, or C++
- Experience with Pytorch or Tensor Flow
- Strong cloud service experience (AWS, GCP)
- Bachelor’s degree; Master’s/Ph D preferred
Utilize your machine learning skills to drive AI solutions that revolutionize businesses at Workday. #J-18808-Ljbffr
Machine Learning Engineer in Vancouver employer: HR Tech Job
At Workday, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration, integrity, and continuous growth. As a Senior Software Engineer in Vancouver, you'll be part of a dynamic team dedicated to building cutting-edge AI solutions, with ample opportunities for mentorship and professional development. Our flexible work approach ensures you can balance personal and professional commitments while contributing to meaningful projects that impact millions globally.
