ML Data Scientist

Marcom is the globally led creative team responsible for Apple's consumer-facing marketing. We ensure the seamless execution of extraordinary communications across all media and platforms. Every day, hundreds of millions of Apple customers worldwide get along with our products. We drive the strategic and creative work that provides both new and existing customers with simple, engaging, and inspiring marketing experiences.

Join the Marcom MP&S team and be a motivator for change We're seeking a passionate AI/ML Engineer to revolutionise Apple's globally-led creative marketing. You'll be at the forefront of implementing cutting-edge AI/ML solutions, directly impacting how millions of Apple customers experience our brand. Dive into ambitious projects involving GenAI LLMs, Graph RAG, and multi-modal models, creating intelligent agentic workflows that redefine what's possible. If you're ready to push the boundaries of AI/ML and leave your mark on a global stage, this is your opportunity.

Description

As an AI/ML Engineer, you'll be the architect of intelligent experiences, driving the entire machine learning project lifecycle from conception to deployment. You'll not only lead the design and development of virtual assistants using Conversational AI platforms, but also foster innovative concepts that deliver tangible business value. Partnering with business stakeholders, you'll identify key AI/ML opportunities and develop advanced analytic solutions, leveraging the power of LLM technologies to unlock new insights. Your expertise will be instrumental in guiding teams on best practices for LLM and GenAI usage, ensuring we stay ahead of the curve. Dive into complex AIOps projects, mastering clustering, classification, anomaly detection, and capacity prediction to optimize our systems.","responsibilities":"AI-Powered Solutions: Drive the complete machine learning project lifecycle, ensuring best practices and detailed software delivery.

Intelligent Assistants: Lead the design and development of virtual assistants using Conversational AI platforms, creating impactful and intuitive experiences.

Data-Driven Insights: Collaborate with business stakeholders to identify AI/ML opportunities and develop advanced analytic solutions leveraging LLM technologies, redefining data into actionable strategies.

Preferred Qualifications

Demonstrated experience in designing, building, and deploying AI/ML platforms and services at scale. A track record of developing solutions that can handle high volumes of data and traffic.

Exceptional troubleshooting and analytical skills, with the ability to diagnose and resolve complex issues in distributed environments.

Excellent communication, presentation, and collaboration skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.

A proactive and independent mindset, with a strong desire to learn and a proven track record to thrive in a fast-paced, multifaceted environment.

Minimum Qualifications

Experience: 3+ years of hands-on experience implementing AI/ML models in enterprise systems.

Deep understanding of core AI/ML concepts, including supervised/unsupervised learning, deep learning, and anomaly detection.

Proven expertise in generative AI principles and applications, with a strong understanding of LLM architectures and fine-tuning techniques.

Mastery of Python and key AI/ML libraries/frameworks (Pandas, NumPy, TensorFlow, PyTorch, etc.). Demonstrated ability to develop and deploy production-ready solutions using GenAI models.

Extensive experience designing, developing, and deploying sophisticated conversational bots, including intent recognition, dialogue management, and natural language generation.

Hands-on experience building and deploying solutions utilising multi-modal models and Graph RAG pipelines. Familiarity with RAG benchmarking frameworks and evaluation methodologies.

Core AI/ML Competencies: Deep expertise in NLP, NLU, ML, and Conversational AI.

Proven track record to seamlessly integrate bot systems with backend systems, databases, and APIs to create end-to-end solutions.

BS or MS in Engineering, Computer Science, or a related field.","internalDetails":null,"eeoContent":null