VP Machine Learning Engineer

Snap Talent Int. Pty Ltd

Machine Learning expert for a large financial institution.

Job Responsibilities
  • Design solution architectures for data science/machine learning products and ensure its production quality from data-ops perspective.
  • Work alongside Technology team to translate successful data science/machine learning proofs-of-concept into production-grade solutions for deployment.
  • Build solid end-to-end pipeline from raw data ingestion, storage to model servicing and inference for both batch and stream processing.
  • Establish proper monitoring of online/offline models and perform re-training whenever necessary, preferably through an automated procedure.
  • Facilitate machine learning model experiments at scale.
  • To support and inspire data scientists and data analysts in writing high-performance, modularized, and reproducible codes.
  • Keep track and evaluate cutting edge technology and industry trends in the field of machine learning model deployment and operation. 
Job Requirements
  • Minimum Bachelor/Postgraduate in Statistics, Mathematics, Engineering, Computer Science or a related field.
  • Minimum 3 - 5 years of working experience in machine learning model deployment and operation in production scale preferably with good knowledge in big data platforms.
  • Strong competence in software programming using Java/Scala/Python and a variety of both traditional relational databases and modern distributed file systems.
  • Familiarity with Apache Spark (and/or any other mainstream distributed computing platform) and the Hadoop eco-system (including but not limited to Hive, Hue, HBase, etc).