Build and operate MLOps framework for developing and deploying data analytics models. Apply machine learning engineering approaches and best practices to package data analytic models for deployment, in the form of software applications or APIs to be used by consumers to run the models.
Develop KPI and see through its completion and enhance operational efficiency of MLE department.
Monitor model performance, business impact after deployment; support retrain to improve model quality.
Partner with data scientist to build criteria for validating machine learning model.
Automate data and machine learning engineering processes.
Managing and directing a team of machine learning engineers in applying data science and engineering techniques in packaging data analytic models developed by Data Science Office.
Develop deployment architecture for machine learning model, leverage on premise and cloud based big data platforms to refactor and optimize code for production.
Collaborate with relevant units to pull new data sources for AI Center to facilitate developing new use- case.
Work directly with the Head of AI Center, Head of Data Science Office to give direction on the application of machine learning across the bank’s operations.
Coach & train team members.
Partner with data scientists to build and operate Feature stores.
Working with other centers/departments in EDA as well as Business Units to understand business problems so as to support them in better utilizing machine learning.
Managing and directing a team of machine learning engineers in developing and operating the MLOps platform.
Conduct research and acquire new machine learning techniques
Conduct research on modern methods for machine learning and engineering.
Proactively analyze and utilize existing/new data sources to support more impactful analyses
Partner business units on advanced analytics- related problems
Training other EDA team members on machine learning
Working with other centers/departments in EDA as well as Business Units to understand business problems so as to support them in better utilizing machine learning
