DBS Bank

STAR Role - Machine Learning Engineer

Job description

Responsibilities
  • Build and improve machine learning and analytics platform
    • Apply cutting edge technologies and tool chain in big data and machine learning to build machine learning and analytics platform
    • Keep innovating and optimizing the machine learning workflow, from data exploration, model experimentation/prototyping to production
    • Provide engineering solution and framework to support machine learning and data-driven business activities at large scale
    • Perform R&D on new technologies and solutions to improve accessibility, scalability, efficiency and us abilities of machine learning and analytics platform
  • Work with data scientists to build end-to-end machine learning and analytics solution to solve business challenges
    • Turn advanced machine learning models created by data scientists into end-to-end production grade system
    • Build analytics platform components to support data collection, exploratory, and integration from various sources being data API, RDBMS, or big data platform
    • Optimize efficiency of machine learning algorithm by applying state-of-the-art technologies, i.e. distributed computing, concurrent programming, or GPU parallel computing
  • Establish, apply and maintain best practices and principles of machine learning engineering
    • Study and evaluate the state of the art technologies, tools, and frameworks of machine learning engineering
    • Contribute in creation of blueprint and reference architecture for various machine learning use cases
    • Support the organization in transformation towards a data driven business culture
Work Relationships
  • Internal
    • Work closely with data scientists, business team, and project managers to provide machine learning and data-driven business solution
    • Collaborate with other technology teams to build platform and framework to enable machine learning and data analytics activities at large scale
  • External
    • Maintain engineering principles and best practices of machine learning framework and technologies
Requirements
  • PhD/Masters/Bachelors in Computer Science, Computer Engineering, Statistics, Applied Mathematics, or related disciplines
  • 5+ years of experience in software engineering or DevOps automation or data engineering
  • Excellent understanding of software engineering principles and design patterns
  • Excellent programming skills in either Python, Scala, or Java
  • Hands-on experience in containerization/ virtualization platforms, e.g. Docker/Kubernetes
  • Exposure to data science and machine learning technologies and methodologies
  • Good working knowledge of high performance computing, parallel data processing, and big data stack, e.g. Spark and Hadoop/Yarn
  • Experience to one or more commercial / open source data warehouses or data analytics systems, e.g. Teradata, is a big plus
  • Experience to one or more NoSQL databases is a big plus
  • Experience or Cloudera Data Science Workbench, is a big plus
  • Passion about machine learning and data-driven intelligence system
  • Excellent communication and presentation skills in English
  • Team player, self-starter, ability to work on multiple projects in parallel is necessary
  • Experience working in multi-cultural environments
  • en

Primary Location

Singapore-DBS Asia Hub

Job

Technology

Schedule

Regular

Job Type

Full-time

Job Posting

Sep 19, 2022, 5:52:44 AM

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