Provide advanced technical support for Workdays AI/ML solutions across all product areas
Serve as an escalation point for complex AI/ML issues from application support teams
Troubleshoot and resolve issues related to AI/ML model performance, accuracy, and integration
Analyze data, logs, and system configurations to diagnose and resolve challenging problems
Collaborate with product and engineering teams to identify and address underlying issues
Develop and maintain documentation, FAQs, and knowledge base articles for AI/ML support
Contribute to the training and development of AI/ML support specialists within application teams
Stay up-to-date with the latest AI/ML technologies and industry best practices
About You
Skills:Strong understanding of machine learning algorithms and model training processes
Familiarity with AI/ML techniques such as deep learning and natural language processing (NLP), along with their practical applications
Advanced analytical and diagnostic skills to identify the root causes of complex AI/ML issues using system logs and customer configurations
Experience with performance monitoring tools such as Wavefront and Grafana for analyzing system behavior and identifying bottlenecks
Proficiency in working with SOAP and REST APIs, including request/response structures, authentication methods, and error handling
Strong knowledge of XML and JSON data formats, including parsing, validation, and transformation for troubleshooting and data processing
Experience using Kibana to visualize and analyze log data, identify trends, and troubleshoot system issues
Ability to write and optimize complex SQL queries to extract, analyze, and validate data for AI/ML models
Experience with Workday APIs and application connectors, enabling seamless integrations with external systems and ensuring smooth data flow across platforms
Experience with public cloud services such as AWS (Amazon Web Services), Azure, and Google Cloud Platform (GCP), including managing and troubleshooting cloud-based applications and workloads
Understanding of distributed systems and experience working with large-scale data processing frameworks and analytics tools such as Apache Spark, Hadoop, or Snowflake
Qualifications:
5+ years of experience in a technical support role, with a focus on AI/ML technologies
Strong understanding of machine learning algorithms, model training, and evaluation
Experience troubleshooting and debugging complex systems
