Senior Data & ML Engineer – Production ML Leader

Aimlroles; Atlanta (GA); On-site; USD 171,000 - 198,000; Full time

Job summary

The Coca-Cola Company is seeking a Lead Data Engineer to act as a technical lead for data products and a mentor for a team of data engineers in Atlanta, GA. You will drive proactive solution development and champion digital transformation across platforms, data, and ML initiatives.

Responsibilities include building scalable web apps, backend services, data pipelines, ML inference, and production-grade CI/CD pipelines while ensuring data quality and system reliability.

Qualifications

• 5–10 years of professional software engineering experience across application, data, or ML systems.
• Strong programming experience in enterprise languages such as Python, Java, C#, or equivalent.
• Strong experience with JavaScript/TypeScript and modern web development.
• Hands-on experience with React or a comparable frontend framework.

Responsibilities

• Design and develop scalable web applications using React, TypeScript/JavaScript, HTML, and CSS.
• Build backend services and REST APIs using Java/Spring Boot, Python, .NET, or equivalent.
• Develop data preparation, transformation, and feature engineering pipelines.
• Develop model inference pipelines and expose predictions via APIs for CRM and web/mobile apps.
• Implement CI/CD pipelines for apps and ML workloads.
• Monitor applications and models for availability, performance, and data quality.

Skills

Agile development

Team leadership

Analytical thinking

Self-learning

Problem solving

Tools

React

TypeScript

Java

Python

SQL Server

Azure DevOps

GitHub

Terraform

CosmosDB

Databricks

DataLake

Job description

The Coca-Cola Company is seeking a Lead Data Engineer to act as a technical lead for data products and a mentor for a team of data engineers in Atlanta, GA. You will drive proactive solution development and champion digital transformation across platforms, data, and ML initiatives.

Responsibilities include building scalable web apps, backend services, data pipelines, ML inference, and production-grade CI/CD pipelines while ensuring data quality and system reliability.