Machine Learning Architect II

The Coca-Cola Company

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

Posted 10/14/2026full-timeAtlanta • United StatesMid-LevelSenior💰 $143,400 - $169,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in MLOps and Data Engineering, with a strong focus on deploying machine learning models using Azure ML, Docker, and Kubernetes. Proven ability to lead teams, mentor junior engineers, and manage the ML lifecycle while ensuring high performance and reliability.

Highest-signal resume keywords

MLOps ManagementAzure Machine LearningPython ProgrammingCI/CD Pipeline DevelopmentKubernetes Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

MLOpsData EngineeringPythonDockerKubernetesCI/CDAzure MLGitAzure Container RegistryMicrosoft Fabric

Soft Skills

Problem-SolvingCollaborationCommunicationMentorshipAttention to Detail

Tools & Technologies

Azure Kubernetes ServiceGitHub ActionsAzure DevOpsDocker ContainersAzure Container Instances

Industry Keywords

Machine Learning LifecycleContainerized MicroservicesMedallion ArchitecturePerformance ManagementTechnical Mentorship

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 Docker containers for scalable and reproducible deployments
Build and maintain CI/CD pipelines for model training, evaluation, and deployment
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, and testable Python code using Git best practices
Mentor, guide, and develop junior or aspiring MLOps engineers
Lead continuous 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, including career development, performance management, and technical mentorship
Hands-on experience with at least one major cloud ML platform
Experience with Azure ML and Microsoft Fabric preferred; AWS SageMaker, GCP Vertex AI, or similar platforms accepted
Strong proficiency in Python for scripting, automation, and model deployment
Familiarity with Git, CI/CD pipelines, GitHub Actions, Azure DevOps, Docker, Azure Container Registry, Kubernetes, AKS, or ACS
Understanding of the machine learning lifecycle, containerized microservices architectures, and software engineering principles
Ability to manage multiple competing priorities in a fast-paced, deadline-driven environment
Strong attention to detail and problem-solving skills
Ability to work collaboratively and communicate technical topics to business audiences
Ability to lead discussions toward defined outcomes
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, financial, and/or other benefits
Agile work environment
Exposure to global technology leaders and emerging technologies
Relocation provided
Travel required: 00% - 25%