Software Engineer focusing on forecasting and scheduling solutions using machine learning at Assembled. Enhance efficiency with AI tools to optimize customer support operations.
Responsibilities
Developing forecasting interfaces, data pipelines, and inference servers to predict support contact volume and determine the optimal number of support agents.
Designing and implementing interfaces to collect and store team preferences and customer business constraints.
Enhancing machine learning efficiency and operations to support rapid model deployment and iteration.
Requirements
Experience using Python libraries like pandas, SciPy, and seaborn for statistical or predictive work.
Previous experience working on a machine learning or algorithmic team.
A strong commitment to advancing both statistical and runtime performance, ensuring reliable and efficient forecasting and scheduling.
Benefits
Stock options
Full range of medical, financial, and/or other benefits
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