Machine Learning Operations Engineer

2 weeks ago

Ortigas Metro Manila, Philippines White Cloak Technologies, Inc. Full time ₱2,000,000 - ₱2,500,000 per year

Role Summary:

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.

Job Description:

  • 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 banks 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 analytic processes and ensure data management and analytics tools/processes are at par with global standards.
  • Conduct POC on new solutions.

Technical Skills Required:

  • 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.

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