Provide first-line engineering support for onsite operational issues, including troubleshooting hardware, network, and software problems, and firmware compliance.
Data Cleansing & Pipeline Management: Aggregate, clean, and integrate data from various HR systems (such as Workday) to ensure data integrity for executive reporting.
Design and run model evaluation experiments — defining quality metrics for agent reasoning in financial contexts, executing benchmarks, and synthesizing results into actionable findings.
Analyze service uptime, incident trends, and support ticket volumes to identify patterns, forecast future demand, and provide insights to support capacity planning and operational improvements.
Develop and deploy advanced analytical models to extract deeper insights from jobs, skills, and tasks data, applying statistical and machine learning techniques including feature engineering, model selection, and validation using appropriate performance metrics