ML Engineer, Fulfillment Data Solutions - Impact-Driven

Apple, Inc.; Singapore; In loco; SGD 100.000 - 180.000; Tempo pieno

Descrizione del lavoro

Apple, Inc. is seeking a Machine Learning Engineer for Strategic Data Solutions to optimize fulfillment operations through data-driven methods. You will build end-to-end ML and optimization solutions, from data pipelines to deployment, impacting global supply chain efficiency.

You will collaborate with partners across Apple, delivering robust, scalable systems and sharing insights to advance technical capabilities within the team.

Competenze

• Graduate degree with research/work experience utilizing data science techniques (CS, Statistics) or Bachelor's with equivalent experience.
• At least 3 years of practical experience building and deploying programmatic solutions.
• Proficiency in Python or a similar programming language.
• Theoretical understanding of machine learning algorithms and their strengths/weaknesses.
• Ability to use SQL to extract insights from data.
• Experience with version control and modern development workflows.

Mansioni

• Engage with stakeholders to translate business problems into technical solutions.
• Design data-driven solutions balancing established techniques with custom approaches.
• Collaborate to implement real-time and batch decisioning in production.
• Build and maintain data pipelines and distributed systems powering fulfillment operations.
• Write clean, testable code and establish best practices for reliability.
• Communicate with stakeholders across different technical backgrounds.

Conoscenze

Python

SQL

Data pipelines

Machine learning

Version control

Collaboration

Problem solving

Communication

Formazione

Graduate degree in CS/Statistics/Data Science

Bachelor’s degree

Strumenti

Git

Docker

Descrizione del lavoro

Apple, Inc. is seeking a Machine Learning Engineer for Strategic Data Solutions to optimize fulfillment operations through data-driven methods. You will build end-to-end ML and optimization solutions, from data pipelines to deployment, impacting global supply chain efficiency.

You will collaborate with partners across Apple, delivering robust, scalable systems and sharing insights to advance technical capabilities within the team.