Senior Manager, Application & Machine Learning Engineer

Job Description Summary: Role Overview The Senior Manager, Application & Machine Learning Engineer is part of the Product Engineering team within the Digital Product & Engineering organization of Coca‑Cola’s Global Digital Network and reports to the Senior Director, Engineering Excellence Lead. This role plays a critical part in advancing Coca‑Cola’s digital transformation by building, scaling, and operationalizing intelligent applications that embed data, artificial intelligence, and machine learning into prioritized domains across the enterprise. Working within an engineering excellence framework, this role partners closely with Product Managers, Product Engineers, Data Scientists, Data Engineers, Architects, and domain stakeholders to develop secure, scalable, and high-performing digital products that accelerate growth, productivity, and operational efficiency. The role is responsible for translating emerging AI and machine learning capabilities into production-ready solutions that create measurable business value and support the organization's transition to a digital-first, product-centric operating model. The ideal candidate combines modern software engineering expertise with machine learning delivery experience and a passion for continuous improvement, helping establish best practices, reusable engineering patterns, and operational excellence across the Digital Produc [... source excerpt omitted ...] l Product & Engineering organization. Support the Digital Product & Engineering organization in building scalable digital products that enable Coca‑Cola’s digital growth engine. Requirements and Qualifications Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Technology, or a related technical discipline. 7+ years of experience in software engineering, application development, platform engineering, or digital product engineering environments. 3+ years of experience delivering machine learning or artificial intelligence solutions in production environments. Experience developing cloud-native applications using modern [... source excerpt omitted ...] practices, code review processes, software reliability, and operational excellence principles. Experience integrating data, analytics, AI, and machine learning capabilities into customer-facing or enterprise digital products. Understanding of responsible AI, model governance, cybersecurity, privacy, and enterprise risk management requirements. Demonstrated ability to influence technical decisions and collaborate effectively within global, cross-functional teams. Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Demonstrated digital fluency, AI fluency, and commitment to adopting emerging tech