ML Engineering Manager — Real-Time Decisioning & Impact

Lex; Singapore; Sur place; SGD 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Résumé du poste

Apple's Strategic Data Solutions (SDS) team in Singapore seeks a seasoned manager to lead a team of data scientists crafting end-to-end analytical solutions with direct impact for Apple and customers.

You will build and lead a team of ML engineers, design real-time decisioning systems for fulfilment and financial products, and collaborate with cross-functional teams to deliver robust production solutions.

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 real-time or batch machine learning applications with data pipelines.
• Strong communication and presentation skills.

Responsabilités

• Lead and mentor a team of software developers and ML engineers.
• Design and maintain real-time automated decisioning systems for fulfilment and financial products.
• Collaborate with data engineers and platform architects to implement production-ready solutions.
• Engage with business partners to translate requirements into technical solutions.
• Review production code and ensure reliable system integration.
• Communicate complex topics clearly to stakeholders.
• Analyze data to reveal actionable business insights.
• Foster experimentation and team growth.

Connaissances

Leadership

Communication

Systems thinking

Problem solving

Business acumen

Formation

Graduate degree in quantitative field

Outils

SQL

Description du poste

Apple's Strategic Data Solutions (SDS) team in Singapore seeks a seasoned manager to lead a team of data scientists crafting end-to-end analytical solutions with direct impact for Apple and customers.

You will build and lead a team of ML engineers, design real-time decisioning systems for fulfilment and financial products, and collaborate with cross-functional teams to deliver robust production solutions.