Senior Manager, Machine Learning, Advanced Analytics

The Coca-Cola Company

. Partner with data science teams to transition machine learning models from experimentation into production .

Posted 9/16/2026full-timeAtlanta • United StatesSenior💰 $143,400 - $169,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in MLOps, including managing the ML lifecycle, deploying models using Azure ML, and building CI/CD pipelines. Proficient in Python and containerization technologies, with a strong focus on mentoring and team leadership.

Highest-signal resume keywords

MLOps ManagementAzure Machine LearningPython ProgrammingCI/CD Pipeline DevelopmentDocker Containerization

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

MLOpsData EngineeringSoftware EngineeringPythonDockerKubernetesCI/CDAzure DevOpsGitMachine Learning Lifecycle

Soft Skills

Technical MentorshipCollaborationCommunication

Tools & Technologies

Azure Container RegistryAzure Kubernetes ServiceMicrosoft Fabric Data ScienceGitHub ActionsAWS SageMakerGCP Vertex AI

Industry Keywords

Data PipelinesMedallion ArchitectureContainerized MicroservicesPerformance Management

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesMicroservicesPython

About the role

Key responsibilities & impact

Partner with data science teams to transition machine learning models from experimentation into production
Package models into robust Docker containers for scalable and reproducible deployments
Build and maintain automated CI/CD pipelines for ML workflows
Manage container images with Azure Container Registry
Deploy scalable workloads to Azure Kubernetes Service or Azure Container Instances
Use Azure Machine Learning and Microsoft Fabric Data Science to manage the ML lifecycle
Implement monitoring for model performance, data drift, and system health
Ensure logging and observability for containerized model endpoints on Kubernetes
Troubleshoot and resolve operational issues
Collaborate with data engineering teams on reliable data pipelines and Medallion architectures
Write clean, modular, testable Python code using Git best practices
Mentor, guide, and develop junior/aspiring MLOps engineers
Lead career development and engineering excellence through performance reviews

Requirements

What you’ll need

6+ years of professional experience (or equivalent strong academic/internship experience) in MLOps, Data Engineering, Software Engineering, or a related field
3+ years of experience managing and scaling high-performing MLOps or data platform teams
Experience with career development, performance management, and technical mentorship
Hands-on experience with at least one major cloud ML platform
Azure ML and Microsoft Fabric preferred; AWS SageMaker, GCP Vertex AI, or similar platforms acceptable
Strong proficiency in Python
Familiarity with Git, CI/CD pipelines, GitHub Actions or Azure DevOps
Experience with Docker, Azure Container Registry, Kubernetes/AKS/ACS
Understanding of the machine learning lifecycle, containerized microservices architectures, and software engineering principles
Ability to communicate technical topics to business audiences
Must be currently authorized to work full-time in the United States
Must not require The Coca-Cola Company's employment sponsorship to continue working legally in the United States
Ability to collaborate across organizational levels and lead discussions to defined outcomes

Benefits

Comp & perks

Annual incentive reference value of 15%
Innovation & Technology: ability to work with an award-winning team on the cutting edge of innovation
Exposure to world-class leaders and emerging technologies
Agile work environment with empowerment to experiment, iterate, and innovate
Medical, financial, and/or other benefits offered depending on the position
Relocation provided
Travel required: 00%–25%