Senior Manager, Application and Machine Learning Engineer

The Coca-Cola Company

. Build and ship production machine learning, optimization and forecasting models on Databricks and Azure .

Posted 10/16/2026full-timeAtlanta • United StatesSenior💰 $152,000 - $178,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying machine learning models and generative AI solutions, with a strong focus on MLOps, optimization, and compliance with security and privacy standards. Proficient in Python and experienced in collaborating with cross-functional teams to deliver impactful AI applications in production environments.

Highest-signal resume keywords

Machine Learning EngineeringGenerative AI SolutionsMLOps and Lifecycle ManagementProduction-Quality PythonOptimization Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ScienceModel DevelopmentPrompt EngineeringAPIs and ServicesAutomated TestingOptimization ModelingForecasting ModelsMulti-Agent ArchitectureLarge Datasets

Soft Skills

CollaborationProblem SolvingCommunication

Tools & Technologies

DatabricksAzureLangGraphSemantic KernelOpenAI Agents SDKAzure AI Agent ServiceGurobiSpark/PySpark

Industry Keywords

Enterprise SecurityResponsible AICI/CDObservabilityPricing and PromotionSupply Chain

Tech Stack

Tools & technologies

AWSAzurePySparkPythonSpark

About the role

Key responsibilities & impact

Build and ship production machine learning, optimization and forecasting models on Databricks and Azure
Develop generative AI and agentic solutions using RAG, tool-calling agents and multi-agent workflows
Turn ambiguous business questions into models, optimizations and explanatory agents
Collaborate with product managers, data engineers, architects and business leaders in operating units and bottlers
Own production solutions, including model and LLM evaluation, monitoring, MLOps and lifecycle management
Ensure compliance with enterprise security, privacy and responsible AI standards
Establish reusable engineering patterns for code quality, testing, CI/CD and observability
Help define algorithms, frameworks and engineering practices for the developing team
Deliver a model or agent used in a live decision cycle within the first six months
Own the optimization layer and explanatory agent for a pricing or promotion product by twelve months

Requirements

What you’ll need

7+ years in software, application or machine learning engineering or data science
3+ years delivering machine learning or AI solutions in production
Production-quality Python
Applied machine learning and data science on very large datasets
Model development, deployment and MLOps
1–2 years of demonstrable prompt engineering
At least one generative AI application delivered to production with real users
At least one agent built and shipped on a recognized framework, including retrieval-augmented generation
Experience with LangGraph, Semantic Kernel, AutoGen, OpenAI Agents SDK or Azure AI Agent Service
Production software practices including APIs and services, CI/CD, automated testing and observability
Hands-on Microsoft Azure/AWS Databricks, Spark/PySpark and Azure data services preferred
Experience with XGBoost, forecasting and simulation models preferred
Optimization modeling with Gurobi or open-source equivalents and operations research techniques preferred
Multi-agent architecture and LLM evaluation frameworks preferred
Pricing, promotion, profitability, forecasting or supply chain use cases preferred
R in addition to Python preferred
Must be currently authorized to work full-time in the United States
Must not require The Coca-Cola Company's sponsorship to continue working legally in the United States

Benefits

Comp & perks

Annual incentive reference value of 15%
Medical benefits
Financial benefits
Other benefits dependent on the position
Inclusive company culture
Continuous learning opportunities
Equal opportunity employment