Elevate your career at Manulife as a Machine Learning Engineer dedicated to contact center solutions. Focus on time series forecasting and classification to improve customer experiences and operational efficiency. This hybrid role involves designing and deploying advanced machine learning models tailored for the contact center setting.

You will engage in hands-on data science development, utilizing skills in feature engineering, exploratory data analysis, and model testing. Collaborate closely with product managers and operational teams to innovate and implement AI-driven solutions that transform customer interactions. Key Responsibilities:
Develop and deploy machine learning models for volume forecasting
Build and maintain ML pipelines for data preparation




Implement MLOps practices for model lifecycle management
Perform exploratory data analysis on historical data
Integrate predictive models with enterprise data sources Requirements:
Experience with time series forecasting and classification models
Solid programming in Python and SQL
Familiar with statistical modeling and predictive analytics
Understanding of cloud services like Azure
Knowledge of AI Engineering and Generative AI preferred Harness your machine learning expertise to drive significant improvements in the contact center at Manulife.

📌 Machine Learning Engineer For Contact Centers Toronto
🏢 The Institute for Performance and Learning
📍 Toronto