> Markdown version of [/jobs/ext/4662434-senior-manager-application-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/4662434-senior-manager-application-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager, Application & Machine Learning Engineer - **Company:** The Coca-Cola Company - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Salary:** $152,000 - $178,300 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, Automation of Tests, Microsoft Azure, Continuous Integration, Data Warehousing, Distributed Systems, Python (Programming Language), Machine Learning, Microsoft Office, Oracle (Applications), Recommender Systems, OpenAI, SAP Manufacturing Execution (ME), Software Engineering, Tableau (Software), Data Processing, Scripting, Enterprise Software Applications, Azure Data Factory, Spring Cloud, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Apache Spark, Generative AI, Agentic-AI, Pyspark, Deployment Automation, Data Analytics, Xgboost, AutoGen, Data Management, Machine Learning Operations, Azure AI, Semantic Kernel, Automation Anywhere, Databricks, Microservices - **Published:** November 10, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-manager-application-machine-learning-engineer-atlanta-ga--8e2a6468-8979-4f5c-8333-1ff29aa77971 ## About the Role 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 ## Description 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.