Senior Manager, Application & Machine Learning Engineer

Coca-Cola HBC; Atlanta (GA); On-site; USD 152,000 - 178,000; Full time

Job summary

The Coca-Cola Company is seeking a Senior Manager, Application & Machine Learning Engineer to drive AI-enabled digital products within the Global Digital Network. You will partner with Product, Data, Platform, and Architecture teams to deliver secure, scalable, enterprise-grade AI solutions and to advance the company’s digital transformation.

Lead ML engineering practices, embed best-in-class MLOps, and mentor engineers to sustain continuous improvement and operational excellence across the

Qualifications

• Bachelor's degree in a related technical field or equivalent experience.
• 7+ years in software engineering, app development, platform engineering, or digital product engineering.
• 3+ years delivering ML/AI solutions in production environments.
• Cloud-native apps with modern patterns and practices.
• Expertise in ML deployments, model governance, and production support.
• Experience with MLOps, CI/CD, automated testing, observability, and deployment.
• Strong understanding of APIs, microservices, distributed systems, and scalable architectures.
• Experience integrating data, analytics, AI into enterprise digital products.
• Understanding of responsible AI, privacy, and risk management.
• Ability to influence technical decisions in global teams.

Responsibilities

• Design, develop, deploy, and support enterprise-grade apps and AI-enabled products.
• Partner with cross-functional teams to embed AI into critical business domains.
• Advance engineering excellence with modern standards, testing, and automation.
• Build and scale ML solutions across multiple use cases and products.
• Promote reusable engineering patterns and components for quality and speed.
• Translate business opportunities into scalable digital solutions delivering value.
• Implement MLOps for model deployment, monitoring, and governance.
• Contribute to product engineering strategy and platform capabilities.
• Ensure compliance with cybersecurity, privacy, and architectural standards.
• Evaluate new technologies to accelerate innovation while maintaining stability.
• Mentor engineers and foster a culture of technical excellence.

Skills

Budget management

Communication

Data analytics

DOT regulations

Group problem solving

JDA

Microsoft Office

Power BI

Oracle Transportation Management

SAP ME

Supply chain

Tableau

Transportation logistics

Transportation management systems

Transportation planning

Education

Bachelor's degree in Computer Science, Software Engineering, AI, Data Science, IT

Tools

JDA

Microsoft Office

Power BI

Oracle Transportation Management

Tableau

SAP ME

Job description

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 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.
• 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.

Skills

Budget Management, Communication, Data Analytics, DOT Regulations, Group Problem Solving, JDA (Inactive), Microsoft Office, Microsoft Power Business Intelligence (PBI), Oracle Transportation Management, SAP Manufacturing Execution (SAP ME), Supply Chain, Tableau (Software), Transportation Logistics, Transportation Management Systems (TMS), Transportation Planning

Pay Range

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.

Annual Incentive Reference Value Percentage: 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.

Location(s)

United States of America City/Cities: Atlanta Travel Required: 00% - 25% Relocation Provided: No

Job Posting End Date

September 18, 2026

Our Purpose and Growth Culture

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, colour, 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.

The Coca‑Cola Company is a global community of passionate employees who are refreshing the world and making a difference every day. Innovation has been at the heart of our story since 1886. It goes beyond new flavours and brands. Learn more about our system and how we’re making an impact.

As a global organization, we seek opportunities to embrace and champion progress. Our careers span across functions and are globally connected to give you an unmatched career experience. We’re glad you’ve chosen to explore your next career opportunity with The Coca‑Cola Company.

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The Coca‑Cola global business system is composed of The Coca‑Cola Company (TCCC), its subsidiaries and 225 bottling partners around the world. Search jobs throughout our system.