Machine Learning Operations Engineer

Responsibilities

• Manage big data initiatives for the Data Science and AI Group while working closely with the technology team, vendors, and consultants
• Coordinate with business and technology stakeholders to ensure that requirements are implemented as expected
• Facilitate implementation of analytical tools
• Recommend and maintain the data model that will support business intelligence, advanced analytics, and campaign management initiatives
• Implement enhancements in the existing MLOps pipeline
• Establish data quality checks to identify integrity issues and report findings to technology management for resolutions
• Establish and implement data governance guidelines to ensure delivery of high quality and secure data to meet regulatory requirements and promote efficiency and revenue growth
• Establish a catalog of commonly used data fields to aid data users in exploring the bank’s data, improve the understanding of data across the bank, and promote consistency of KPI definition
• Conduct best practice research to continuously improve current data management and analytics processes and ensure data management and analytics tools / processes are at par with global standards
• Conduct POC on new solutions

Qualifications

Seniority level

Employment type

Job function

Industries

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