Machine Learning Operations Engineer
4 weeks ago
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
- Proficient in data processing tools (SQL, Python, R)
- Strong knowledge of batch and stream data processing techniques (Spark, Kafka)
- Strong knowledge in MLOps and related concepts
- Experienced in data modelling and data warehousing techniques
- Experienced in using Git for version control and CI/CD
- Experienced in using business intelligence tools (Power BI, Tableau)
- Preferably with experience in Cloudera and Snowflake
- Preferably with experience in the banking and financial services industry
- Entry level
- Full-time
- Engineering and Information Technology
- IT Services and IT Consulting
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