Senior Manager, Application & Machine Learning Engineer

The Coca‑Cola Company

Confirmed live today High trust
Closes tomorrow

Quick summary

Work type
On-site
Location
Atlanta, GASofia, Sofia, Bulgaria
Salary
$152,000–$178,300 / yr
Employment
Full-time
Posted
11 days ago
Freshness
Confirmed live today
Closes
Oct 28, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $215k
This role $165k
$139k $277k
below market most similar roles pay here above market

This role pays less than 82% of similar roles. Most pay $182,948–$246,150 — the blue band above. At the midpoint, this role pays about $165k versus about $215k 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 10 open roles on FindRole.

Listed pay typically runs $138,300–$163,250 across 10 roles with salary data.

Most-posted roles

View all roles at The Coca‑Cola Company

At a glance

TL;DR · Senior Manager, Application & Machine Learning Engineer

Senior Manager, Application & Machine Learning Engineer The Senior Manager, Application & Machine Learning Engineer joins the Product Engineering team within the Global Digital Network. This hands-on senior engineering role involves building and shipping production machine learning, optimization, and forecasting models to drive commercial decisions regarding pricing, packs, and promotions. You will develop generative AI and agentic solutions, including RAG and multi-agent workflows, using frameworks like LangGraph, Semantic Kernel, or Azure AI Agent Service. Key technologies include Python, Databricks, Azure, Spark, PySpark, XGBoost, and Gurobi. Responsibilities include training models, engineering prompts, and managing MLOps lifecycles while establishing engineering patterns for code quality and CI/CD. The role solves complex business problems by transforming ambiguous questions into secure, data-driven agentic solutions that provide auditable insights for category and brand managers.

What you'll do

  • Build and ship production machine learning, optimization, and forecasting models on Databricks and Azure.
  • Design and deliver generative AI solutions including RAG, tool-calling agents, and multi-agent workflows.
  • Develop models and agents to support commercial decisions on pricing, packs, and promotions.
  • Own the production lifecycle of solutions including model evaluation, monitoring, MLOps, and security compliance.
  • Establish engineering patterns for code quality, testing, CI/CD, and observability across the team.
  • Translate ambiguous business questions from stakeholders into functional models and agentic solutions.
  • Train and score models using large structured and unstructured datasets.

What we're looking for

  • 7+ years in software, application, or machine learning engineering or data science.
  • 3+ years delivering machine learning or AI solutions in production.
  • Production-quality Python skills for writing maintainable code.
  • Experience in applied machine learning and data science on very large datasets, including model development, deployment, and MLOps.
  • Demonstrable prompt engineering and at least one generative AI application delivered to production.
  • Experience building and shipping at least one agent on a recognized framework (e.g., LangGraph, Semantic Kernel) including RAG.
  • Proficiency in production software practices including APIs, CI/CD, automated testing, and observability.
  • Authorized to work.

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