Software Engineer – Forecasting & Scheduling

This is a fully remote position, open to applicants in United States.

📋 Description

• Forecasting contact volume: Creating forecasting interfaces, data pipelines, and inference servers to anticipate support contact volume and ascertain the necessary number of support agents for specific days and times.

• Scheduling thousands of support agents: Developing and implementing interfaces to gather and maintain team preferences and customer business constraints (e.g., labor regulations), enabling the formation of optimal schedules for teams of thousands of support agents based on these forecasts and constraints.

• MLOps: Improving the efficiency and operations of machine learning to facilitate swift model deployment and iteration.

⛳️ Requirements

• Knowledge of ML packages and software: Proficiency in using Python libraries such as pandas, SciPy, and seaborn for statistical or predictive tasks.

• Experience in ML or algorithmic teams: Prior involvement in a machine learning or algorithmic team.

• Commitment to performance: A strong dedication to enhancing both statistical and runtime performance, ensuring dependable and efficient forecasting and scheduling.

🏝️ Benefits

• Stock options

• Comprehensive medical, financial, and/or other benefit packages