Data/Machine Learning Engineer II

The Coca‑Cola Company

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Atlanta, GA
Salary
$171,000–$198,000 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today
Closes
Oct 15, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $184k
$141k most similar roles pay here $275k

This role pays less than 70% of similar roles. Most pay $166,425–$241,750 — the shaded band above. At the midpoint, this role pays about $184k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About The Coca‑Cola Company

The Coca-Cola Company is the world''s largest beverage company, producing and distributing iconic soft drinks, juices, water, and other beverages across more than 200 countries. Industry: Beverages & Consumer Goods

The Coca‑Cola Company currently has 16 open roles on FindRole.

Listed pay typically runs $152,000–$178,300 across 16 roles with salary data.

Most-posted roles

View all roles at The Coca‑Cola Company

At a glance

TL;DR · Data/Machine Learning Engineer II

As a Data/Machine Learning Engineer II, you will serve as a technical lead for data products and a subject matter expert for a team of engineers. You will design and develop scalable web applications using React, TypeScript, and Java or Python to build backend services and REST APIs. Your daily responsibilities include developing data preparation pipelines, performing feature engineering, and building predictive models such as recommendation or forecasting systems. You will integrate enterprise systems like Salesforce and CRM platforms while managing MLOps tasks including CI/CD pipelines, model versioning, and monitoring for drift. The role requires proficiency in SQL Server, PyTorch, TensorFlow, scikit-learn, and XGBoost. You will work with tools like GitHub, Terraform, and Azure to solve complex problems involving data transformation and the deployment of advanced techniques like deep learning and vector search.

What you'll do

  • Design and develop scalable web applications using React, TypeScript, and modern frontend frameworks.
  • Build backend services and REST APIs using Java, Python, or .NET to integrate enterprise systems.
  • Develop data preparation, transformation, and feature engineering pipelines from various internal and external sources.
  • Build and deploy machine learning models for tasks like recommendation, forecasting, and classification.
  • Create automated CI/CD pipelines for both application software and machine learning workloads.
  • Monitor production systems for performance, data quality, and model drift to ensure reliability.
  • Manage the full lifecycle of data products from initial requirements through production support.

What we're looking for

  • 5–10 years of professional software engineering experience in application development, data, or machine learning systems.
  • Strong programming skills in at least one enterprise language such as Python, Java, or C#.
  • Experience with JavaScript/TypeScript and modern frontend frameworks like React.
  • Proficiency in designing REST APIs, backend services, and integrating multiple enterprise systems via API patterns.
  • Strong SQL skills and experience with relational databases like SQL Server for data modeling and querying.
  • Experience developing data pipelines, performing feature engineering, and deploying machine learning models into production.
  • Experience with CI/CD tools (GitHub, GoCD, Terraform, or Azure DevOps) and Git-based version control.
  • Knowledge of public cloud platforms, preferably Azure, and experience with non-relational databases (preferred).

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