Senior ML Engineer & Pricing AI Architect

The Coca-Cola Company; Atlanta (GA); On-site; USD 152,000 - 178,000; Full time

Benefits offered by this job

Medical benefits

Bonus program

Job summary

The Coca-Cola Company in Atlanta, GA is seeking a Senior Manager, Application & Machine Learning Engineer to build models and agents for pricing, packs, and promotions. You will ship production ML, optimization and forecasting models on Databricks and Azure, handling large commercial datasets.

You will design generative AI and agentic solutions with frameworks like LangGraph or Semantic Kernel, collaborating with product managers and data engineers to turn business questions into auditable,

Qualifications

• 7+ years in software, application or ML engineering or data science.
• Python at production quality: you write code that others ship and maintain.
• Applied ML on large datasets: model development, deployment and MLOps.
• 1–2 years of demonstrable prompt engineering and at least one production AI app.
• At least one agent built and shipped on a recognized framework.

Responsibilities

• Build and ship production ML, optimization and forecasting models on Databricks and Azure for pricing, packs and promotions.
• Design and deliver generative AI and agentic solutions (RAG, tool-calling agents) with LangGraph, Semantic Kernel or Azure AI Agent Service.
• Collaborate with product managers, data engineers, architects and business leaders to turn questions into models and agents.
• Own production: evaluation, monitoring, MLOps, lifecycle management and security/compliance.

Skills

Python

Production ML

Prompt engineering

Agent frameworks

CI/CD

Tools

LangGraph

Semantic Kernel

AutoGen

OpenAI Agents SDK

Azure AI Agent Service

Databricks

Azure

Gurobi

Job description

The Coca-Cola Company in Atlanta, GA is seeking a Senior Manager, Application & Machine Learning Engineer to build models and agents for pricing, packs, and promotions. You will ship production ML, optimization and forecasting models on Databricks and Azure, handling large commercial datasets.

You will design generative AI and agentic solutions with frameworks like LangGraph or Semantic Kernel, collaborating with product managers and data engineers to turn business questions into auditable,