Senior ML Engineer & Production AI Architect

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

Job summary

The Coca-Cola Company in Atlanta, GA is seeking a Senior Manager, Application & Machine Learning Engineer to build production ML models and agents for pricing, packs and promotions across markets, using Databricks and Azure.

You will collaborate with product managers and data engineers, own solutions in production, and implement CI/CD, monitoring and secure AI practices as the team scales to support generative AI and multi-agent workflows.

Qualifications

• 7+ years in software, application or ML engineering or data science.
• Production-quality Python code that others ship and maintain.
• Applied ML on very large datasets with model deployment and MLOps.
• 1–2 years of demonstrable prompt engineering with a production AI app.
• At least one agent built and shipped on a recognized framework.
• Experience with LangGraph, Semantic Kernel or Azure AI Agent Service.
• Strong practices: API, CI/CD, testing and observability.

Responsibilities

• Build and ship production ML, optimization and forecasting models on Databricks and Azure.
• Design and deliver generative AI/agentic solutions with RAG and tool-calling.
• Collaborate with product managers, data engineers and business leaders to turn questions into models.
• Own production lifecycle: evaluation, monitoring, and governance for security and responsible AI.

Skills

ML engineering

Python

MLOps

Prompt engineering

Agent development

LangGraph

CI/CD

Observability

Azure

Databricks

Tools

LangGraph

Semantic Kernel

AutoGen

OpenAI Agents SDK

Azure AI Agent Service

Databricks

PySpark

Job description

The Coca-Cola Company in Atlanta, GA is seeking a Senior Manager, Application & Machine Learning Engineer to build production ML models and agents for pricing, packs and promotions across markets, using Databricks and Azure.

You will collaborate with product managers and data engineers, own solutions in production, and implement CI/CD, monitoring and secure AI practices as the team scales to support generative AI and multi-agent workflows.