Machine Learning Engineer

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better! It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Join Apple, and help us leave the world better than we found it. At Apple, we build products that enrich the lives of millions of customers. Our SAP team is part of the global Information Systems & Technology (IS&T) organization. We build systems that support customer ordering, fulfilment and service of Apple products. We work with multiple business functions. Our teams develop a collaborative environment with creative, expert & fun people using brand-new technologies. Engineering perfection is encouraged. Come join us for this once in a lifetime opportunity in building solutions for Apple that has worldwide impact.
Description
The successful candidate will work closely across business and technical teams delivering sophisticated projects in Apple’s fast-paced environment. The role includes responsibility for all aspects of a project, including: Propose appropriate designs to meet the business requirements. Presenting the solution for design reviews and business playbacks. Build and review detailed technical documents for new or existing enhancements. Collaborating on deliverables, dependencies and risks. Status reporting within the team and to management throughout the project lifecycle. Co-ordinating cutover and implementation activities across teams. Minimum Qualifications

• The successful candidate will work closely across business and technical teams delivering sophisticated projects in Apple’s fast-paced environment. The role includes responsibility for all aspects of a project, including:
• Propose appropriate designs to meet the business requirements.
• Presenting the solution for design reviews and business playbacks.
• Build and review detailed technical documents for new or existing enhancements. Collaborating on deliverables, dependencies and risks.
• Status reporting within the team and to management throughout the project lifecycle.
• Co-ordinating cutover and implementation activities across teams.

Preferred Qualifications

• At least 1 full cycle project experience implementing AI or ML projects Possess excellent problem-solving & analytical skills. Proven record of leading projects with timely delivery and working experience with global. Familiarity with ML libraries and frameworks, including TensorFlow, PyTorch, Pandas, and Scikit-learn.
• Ability to fine tune an LLM is a Plus.
• Understanding of RAG and graph-based RAG methodologies.
Hands on experience with LangChain and LangGraph is a plus. Skills in rapid prototyping and experimentation with generative models Experience in performance optimisation, particularly in enhancing model performance and inference speed for real-time applications is a plus.

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