Senior Manager, Application & Machine Learning Engineer

The Senior Manager, Application & Machine Learning Engineering is a hands-on individual contributor responsible for developing and supporting production ML and AI applications using Python, Microsoft Azure, and Databricks. The role combines application engineering with forecasting and optimization model development, GenAI, and agentic AI to support commercial decisions across Coca-Cola’s global business.

In partnership with product managers, engineers, architects, and business stakeholders, this role translates pricing, promotion, revenue growth, profitability, and operational needs into applications built on enterprise data. Responsibilities span model development, application integration, deployment, and ongoing evaluation.

Success is measured by solution reliability, model and agent effectiveness, and demonstrable business outcomes.

What You’ll Do

Build Production AI & Machine Learning Solutions

· Develop forecasting, predictive, and recommendation models using enterprise datasets.

· Formulate optimization models with defined business objectives, decision variables, and constraints.

· Build GenAI applications and agentic workflows using LLMs, prompt engineering, and RAG, and integrate them with enterprise applications.

· Evaluate model outputs and agent recommendations for accuracy, grounding, and usefulness in business decisions.

Drive Production Delivery

· Deliver and support solutions throughout development, deployment, monitoring, evaluation, and continuous improvement.

· Monitor model performance and data drift, evaluate retrieval and agent outputs, and address production issues.

· Ensure solutions meet enterprise standards for security, privacy, reliability, and responsible AI.

Engineering Excellence

· Develop reusable Python components, APIs, microservices, and distributed services for ML and AI applications.

· Implement automated testing, CI/CD, deployment automation, and observability.

· Establish engineering patterns that improve delivery speed, quality, maintainability, and scalability.

Collaboration & Influence

· Translate business requirements into technical approaches and measurable success criteria.

· Explain model assumptions, outputs, and limitations to technical and non-technical stakeholders.

· Resolve conflicting requirements and recommend feasible scope and delivery timelines.

Machine Learning, Machine Learning, Business Operations, Artificial Intelligence (AI), Problem Solving Skills, International Business, Python Programming/Scripting Language, Forecasting, Microsoft Windows Azure, Software Engineering, · 7+ years of experience in software engineering, machine learning engineering, AI engineering, data science, or related technical disciplines

· 3+ years delivering ML/AI solutions in production, with direct responsibility for development, deployment, and support

· Experience building AI decision-support solutions for global organizations in commercial, supply chain, pricing, or profitability use cases

Technical Experience:

· Developing production-quality Python software

· Using Microsoft Azure and Databricks in production, including data processing and integration of ML/AI workflows with applications

· Preparing and processing large-scale enterprise datasets for ML/AI solutions

Experience designing, developing, and supporting:

· Cloud-native applications, APIs, microservices, and distributed systems

· MLOps practices for model deployment, monitoring, and lifecycle management

· CI/CD pipelines, automated testing, deployment automation, and application observability

Machine Learning & AI Experience:

· Developing, evaluating, and deploying machine learning models, including forecasting models

· Formulating optimization models that translate business objectives into decision variables and constraints

· Building production GenAI applications using LLMs, prompt engineering, and RAG

· Building and deploying AI agents and workflows using at least one orchestration framework or managed agent service, such as:

· LangGraph

· Semantic Kernel

· AutoGen

· Azure AI Agent Service

· OpenAI Agents SDK

Business & Technical Collaboration:

· Translating business requirements into technical solutions and communicating model outcomes and limitations

· Managing competing priorities, resolving ambiguity, and recommending practical delivery approaches

Preferred Skills

Data Platforms

· Experience with Spark/PySpark and Azure Data Services

· Experience with data warehousing and both structured and unstructured enterprise datasets

Specialized Modeling & AI

· Experience with XGBoost, Gurobi, or comparable modeling libraries and optimization solvers

· Experience developing simulation models

· Experience developing multi-agent architectures 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

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., 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.

The Coca-Cola Company’s Technology organization is in the midst of a digital transformation that enables employees to leverage world-class technology to better connect our products, customers, and business operations across the globe. Our scale and complexity create a unique opportunity to solve challenging problems through data, machine learning, and AI-driven solutions., 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.