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Machine Learning Engineer Manager - APAC

Apple· Operations and Supply Chain
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Hybrid (Singapore)Not specifiedPosted 1w ago

About the role

Leader and manager of the SDS machine learning engineering team in Singapore, designing, implementing, and operating real-time and batch analytical solutions for fulfilment and financial programs, with strong emphasis on production-ready systems, cross-functional collaboration, and business impact.

Responsibilities

  • Lead and mentor a team of software developers and machine learning engineers
  • Design and maintain real-time automated decisioning systems and operations for fulfilment and financial products
  • Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions
  • Engage with business partners and understand their unique requirements and design them technical solutions
  • Review the teams production code and logic for highly integrated system
  • Distill and clearly communicate complex technical topics for both business and engineering stakeholders
  • Analyze data and tell meaningful stories to assist business partners
  • Collaborate with and support the team to innovate, encouraging experimentation and growth

Qualifications

  • Graduate degree in a quantitative field or equivalent professional experience
  • Experience leading a team of machine learning engineers and software engineers
  • Practical experience training, deploying, and maintaining decisioning algorithms
  • Familiarity with distributed databases, data warehousing, and SQL
  • Ability to implement custom real-time or batch machine learning applications with their appropriate data pipelines
  • Ability to comprehend and debug complex system integrations spanning toolchains and teams
  • Ability to extract meaningful business insights from data and identify the stories behind the patterns
  • Ability to think at a systems level to anticipate technical, business, and customer impact
  • Clear communication and presentation skills
  • Unwavering ability to maintain poise and a positive attitude in a challenging and dynamic environment
  • Strong organizational skills with an ability to oversee and drive multiple activities at once
  • Excellent problem solving skills, business acumen, and solution design mentality
  • Experience writing, reviewing, and deploying production software

Skills

Required:Machine learning engineering leadershipReal-time decisioning systemsBatch and real-time data pipelinesDistributed databases and data warehousing

Benefits

  • Not specified in the description
Last updated Oct 16, 2026. Interested? Apply on the company site.

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