Machine Learning Operations

2 weeks ago

Pasig, National Capital Region, Philippines Arbeit Consultancy, Inc. Full time $80,000 - $120,000 per year

Key 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

  • 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

Job Type: Full-time

Benefits:

  • Additional leave
  • Company events
  • Opportunities for promotion
  • Paid training
  • Promotion to permanent employee

Experience:

  • related: 4 years (Preferred)

Work Location: In person

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