Senior Manager, Application & Machine Learning Engineer

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 Product & Engineering organization.     What You will do for us   Design, develop, deploy, and support enterprise-grade applications and intelligent   digital   products that   leverage   artificial intelligence and machine learning capabilities.   Partner with Product Engineering, Data, Platform, and Architecture teams to embed AI-enabled functionality into products serving critical business domains.   Drive engineering excellence by implementing modern software engineering standards, development practices, testing frameworks, and automation capabilities.   Build, deploy, and manage machine learning solutions that can be scaled across multiple use cases, products, and business functions.   Establish and promote reusable engineering patterns, frameworks, and components that improve product quality, maintainability, and development speed.   Collaborate with Product Managers and business stakeholders to translate business opportunities into scalable digital solutions that deliver measurable value.   Implement Machine Learning Operations (MLOps) practices that support model deployment, monitoring, lifecycle management, governance, and continuous improvement.   Contribute to the Product Engineering strategy by identifying opportunities to improve application performance, developer productivity, and platform capabilities.   Ensure solutions comply with enterprise cybersecurity, privacy, responsible AI, and architectural standards.   Evaluate emerging technologies, engineering tools, and AI capabilities to accelerate innovation while maintaining operational stability and reliability.   Mentor engineers and contribute to a culture of technical excellence, continuous learning, experimentation, and knowledge sharing across the Digital 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 architectural patterns and engineering practices.