- 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:Robust 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
- Excellent communication and interpersonal skills

📌 AI & ML Support Engineer (Pune)
🏢 Workday
📍 Pune