About the ML Engineer role: You are an expert at finding patterns and explaining insights from application & event data using supervised and unsupervised ML approaches to customers.These usage pattern cohorts are the lynchpin of increasing the go-to-market and operational clock speed of customer‐centric organizations.You will be accountable for the development, training and performance management of Quad Sci AIs (Engage, Economic Forecasting, & Growth).
You will be analyzing diverse and dynamic data sets across application telemetry, CRM, Support, Accounting/Billing, Website Analytics, and other common enterprise data sources.You will work across 1–5 customers as a highly trusted (and billable) AI/ML Engineer.As a member of an early‐stage AI startup you will contribute to the expansion of Quad Sci's delivery methodology and AI/ML workbench.ResponsibilitiesAggregate, analyze and generate supervised & unsupervised ML insights from large application telemetry data sets.Consolidate ...