Data/Machine Learning Engineer II

• Data & Machine Learning Engineering

• Work with data from enterprise data platforms, customers, and external data providers to develop intelligent product capabilities.
• Develop data preparation, transformation, and feature engineering pipelines.
• Build predictive, classification, ranking, recommendation, segmentation, or forecasting models based on business requirements.
• Evaluate when to use traditional machine learning versus advanced techniques such as deep learning, transformers, computer vision, embeddings, vector search, or RAG.
• Develop batch or online model inference pipelines and services.
• Expose model predictions and recommendations through APIs for consumption by Salesforce, CRM, web, and mobile applications.
• Implement model and data validation, automated testing, and quality controls.

• Production Engineering & MLOps

• Build CI/CD pipelines for application and machine learning workloads.
• Support experiment tracking, model versioning, deployment, and lifecycle management.
• Monitor applications and models for availability, performance, data quality, and model degradation or drift.
• Support production solutions and troubleshoot issues across systems.
• Improve scalability, reliability, security, observability, and maintainability.
• Own capabilities throughout their lifecycle, from requirements through production support and continuous improvement.

Qualification & Requirements

• 5–10 years of professional software engineering experience, with experience spanning application development, data, or machine learning systems.
• Strong programming experience iat least one enterprise application development language such as Pyton, Java, C#, or equivalent.
• Strong experience with JavaScript/TypeScript and modern web development.
• Hands-on experience with React or a comparable modern frontend framework.
• Experience designing and developing REST APIs and backend services.
• Strong SQL skills and experience with relational databases such as SQL Server.
• Experience developing data pipelines, transforming datasets, and performing feature engineering.
• Practical experience developing machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or equivalent.
• Experience taking machine learning solutions beyond experimentation into production inference.
• Experience integrating multiple enterprise systems using APIs and modern integration patterns.
• Experience with automated testing, containers, monitoring, and production support.
• Strong software engineering fundamentals including modular design, testing, code reviews, debugging, and maintainability.
• Ability to work across Product, Data, Architecture, Business, and Engineering teams to translate requirements into production solutions.
• Experience using CI/CD tools – GitHub, GoCD, Terraform and/or Azure DevOps
• Solid knowledge about data modeling and architecture
• Knowledge with developing applications using public cloud, preferably Azure, specially focused in Data Services (CosmosDB, DynamoDB, Databricks, Glue, DataLake, Redshift, Azure Synapse etc.)

• Understand Agile Scrum, CI/CD, DevOps best practices
• Solid understanding of Git-based version control

What We Can Do For You 

• Innovation & Technology: The ability to work with an award-winning team that is on the cutting edge of innovation.

• Exposure to World Class Leaders: Availability to global technology leaders that will expand your network and exposure you to emerging technologies and techniques.
• Agile Work Environment: We embrace agile with management that believes in removing barriers and empowering you to experiment, iterate and innovate.

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:

Agile, Azure Devops, Business Intelligence Software, DevOps, GitHub, Microsoft Azure, Non Relational Databases, Object-Oriented Programming (OOP), Python (Programming Language), Scala (Programming Language), Software Development, Software Engineering, Structured Query Language (SQL), Terraform (Software), Testing Methodology

Pay Range:

United States: 171,000 - 198,000 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.

Location(s):

United States of America

City/Cities:

Atlanta

Travel Required:

00% - 25%

Relocation Provided:

Yes

Job Posting End Date:

October 14, 2026

Our Purpose and Growth Culture:

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.

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.