Sr Associate Machine Learning Engineer
About The Position
As a Sr. Associate Machine Learning Engineer, you will build AI-driven solutions that enhance financial planning for enterprises at global scale. You’ll design and develop intelligent workflows, apply modern AI and data engineering practices, and help deliver next-generation FP&A capabilities within Workday Adaptive Planning. You will work with rich HR and Finance datasets using Workday’s AI development environment to create automation, predictive insights, and agent-based experiences that improve how customers use planning products. This role offers the opportunity to apply strong technical problem-solving and creative thinking while working with modern AI technologies and agent frameworks to deliver impactful solutions for some of the world’s largest organizations.
Requirements
- 2+ years of experience with production-level Software Development including the conception, specifying, crafting, programming, documenting, testing, and bug fixing involved in creating and maintaining applications, frameworks, or other software components.
- 2+ years of experience using programming languages (such as Python, Java, or similar) to deliver production quality software solutions in an industry setting.
- 2+ years of experience building production quality software with public cloud technologies (e.g., AWS, GCP, Azure) and Infrastructure as Code (e.g., AWS CloudFormation).
- 2+ years experience designing and implementing data pipelines to extract, transform, and load data from various sources enabling the training and deployment of machine learning models.
- Bachelor's degree in a relevant field, such as Computer Science, Mathematics, or Engineering.
Nice To Haves
- Experience maintaining and supporting production software.
- Experience with Machine Learning technologies, frameworks and methods.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
