Apple

Machine Learning Engineer, Data Solutions & Initiatives

Apple
TechnologySingaporeOnsitePosted 4 months ago

About the role

AI summarised

Join Apple's Data Solutions & Initiatives (DSI) team, a product strategy and engineering group working closely with business development and sales finance. You will be responsible for building a suite of AI/ML products, including Generative AI agentic pipelines, that deliver measurable business value to the Sales and Finance communities by owning the entire lifecycle of high-availability AI/ML systems.

TechnologyOnsiteMachine Learning and AI

Key Responsibilities

  • Build a suite of AI/Machine Learning products that deliver measurable business value for Sales and Finance communities.
  • Own the entire AI/ML pipelines, from requirement gathering to deployment and monitoring.
  • Collaborate closely with Data Engineers, Software Engineers, and MLOps teams.
  • Design, experiment, implement, and test AI/ML solutions to production standards.
  • Deliver ML and Generative AI agentic pipelines supporting critical financial planning and business activities.

Requirements

  • Bachelor's degree in Computer Science, Machine Learning, or related technical field.
  • 5+ years of experience in Machine Learning Engineering, Software Engineering, or Data Science with a focus on production ML systems.
  • Strong proficiency in Python and SQL.
  • Solid understanding of machine learning fundamentals, including supervised and unsupervised learning algorithms.
  • Experience building and deploying ML models in production environments.
  • Familiarity with ML frameworks such as scikit-learn, PyTorch, OpenAI, Langchain/graph.
  • Strong software engineering skills with the ability to write clean, maintainable code.
  • Experience with cloud platforms (AWS, GCP, or Azure) and basic cloud services.