Senior Manager, Application & Machine Learning Engineer
The Coca-Cola Company
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Job summary
The Coca-Cola Company is seeking a Senior Manager, Application & Machine Learning Engineer to advance digital transformation by building and deploying intelligent applications across enterprise domains. You will collaborate with Product Managers, Data Scientists, Engineers, and Architects to deliver secure, scalable AI-powered products that drive growth and operational efficiency.
The role blends software engineering with ML delivery, promoting best practices, reusable patterns, and operational
Qualifications
- Bachelor's degree in a technical field such as CS, SE, AI, Data Science, IT.
- 7+ years of software engineering or digital product engineering experience.
- 3+ years delivering ML/AI solutions in production.
- Experience building cloud-native applications with modern architectures.
- Expertise in ML deployment, model governance, and production support.
- Experience implementing MLOps, CI/CD, testing, observability, and deployment.
- Strong knowledge of APIs, microservices, distributed systems, and scalable architectures.
- Experience collaborating in product-centric, agile teams.
- Understanding of responsible AI, cybersecurity, privacy, and risk management.
- Ability to influence technical decisions and work with cross-functional teams.
- Excellent communication, digital/AI fluency, and passion for improvement.
Responsibilities
- Design, develop, deploy, and support enterprise-grade AI-enabled applications.
- Embed AI features with Product Engineering, Data, Platform, and Architecture teams.
- Implement modern software standards, testing, and automation practices.
- Build and manage ML solutions scalable across use cases and domains.
- Promote reusable engineering patterns and components for quality and speed.
- Translate business opportunities into scalable digital solutions with measurable value.
- Implement MLOps practices for model deployment, monitoring, and governance.
- Contribute to strategy by improving performance, productivity, and platform capabilities.
- Ensure compliance with cybersecurity, privacy, and enterprise standards.
- Mentor engineers and foster a culture of technical excellence.
Skills
Education
Tools
Job description
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.
- 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.
- 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.
- Demonstrated expertise in application engineering, machine learning frameworks, model deployment, and production support.
- Experience implementing MLOps, CI/CD pipelines, automated testing, observability, monitoring, and deployment practices.
- Strong understanding of software design principles, APIs, microservices, distributed systems, and scalable application architectures.
- Experience collaborating within product‑centric operating models and agile product delivery teams.
- Strong knowledge of engineering quality 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 technologies that create business value.
- Experience driving continuous improvement and engineering excellence initiatives within modern technology organizations.
The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment‑based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full‑time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.
- Budget Management
- Communication
- Data Analytics
- DOT Regulations
- Group Problem Solving
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- Transportation Planning
United States: 152,000 - 178,300 USD
Base pay offered may vary depending on geography, job‑related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
15
Annual Incentive reference value is a market‑based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
United States of America
Atlanta
00% - 25%
No
September 18, 2026
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.
Base pay offered may vary depending on geography, job‑related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Annual Incentive reference value is a market‑based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
Long-term Incentive reference value is a market‑based competitive value for your role
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