Machine Learning Operations Engineer

Job Description

The role will entail managing a team of data engineers responsible for implementing machine learning models and creating highly resilient data pipelines. It will also entail leading various projects including migration activities and POCs.

Responsibilities

• Manage big data initiatives for the Data Science and AI Group while working closely with technology team, vendors, and consultants.
• Coordinate with business and technology stakeholders to ensure 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 resolution.
• 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 understanding of data across the bank, and promote consistency of KPI definition.
• Conduct best practice research to continuously improve current data management and analytic processes and ensure data management and analytics tools / processes are at par with global standards.
• Conduct POC on new solutions.

Technical Skills Required

Seniority Level

Mid-Senior level

Employment Type

Contract

Job Function

Information Technology

Industries

Software Development and IT Services and IT Consulting

#J-18808-Ljbffr