Senior Manager, Application & Machine Learning Engineer
The Coca-Cola Company6 days ago
Atlanta, GA, USAStaff+
Base Salary
$152k - $178k/yr
Responsibilities
- Build and ship production machine-learning, optimization, forecasting, and generative AI solutions on Databricks and Azure using large structured and unstructured datasets.
- Design RAG, tool-calling, and multi-agent workflows that provide grounded and auditable answers in Microsoft Teams.
- Develop models, optimizers, prompts, and agents for pricing, pack, promotion, profitability, forecasting, and supply-chain decisions.
- Partner with product managers, data engineers, architects, business leaders, operating units, and bottlers to translate business questions into production solutions.
- Own production evaluation, monitoring, MLOps, lifecycle management, security, privacy, and responsible AI compliance.
- Establish reusable standards for code quality, testing, CI/CD, observability, algorithms, frameworks, and engineering practices.
- Set technical patterns for a new senior engineering team and deliver solutions used in live commercial decision cycles.
Requirements
- 7+ years of experience in software, application, or machine-learning engineering or data science, including 3+ years delivering machine-learning or AI solutions in production.
- Production-quality Python programming experience.
- Applied machine learning and data science experience with very large datasets, including model development, deployment, and MLOps.
- 1–2 years of demonstrable prompt-engineering experience and at least one generative AI application delivered to production with real users.
- Experience building and shipping at least one agent on LangGraph, Semantic Kernel, AutoGen, OpenAI Agents SDK, or Azure AI Agent Service, including retrieval-augmented generation.
- Experience with production software practices including APIs and services, CI/CD, automated testing, and observability.
- Preferred experience with Microsoft Azure, AWS, Databricks, Spark, PySpark, Azure data services, XGBoost, forecasting, simulation, Gurobi or open-source optimization tools, operations research, multi-agent architecture, and LLM evaluation frameworks.
- Preferred experience with pricing, promotion, profitability, forecasting, or supply-chain use cases, especially in consumer goods or global organizations.
- R experience in addition to Python.
Benefits
- Annual base pay range is $152,000–$178,300, with a 15% annual incentive reference value.
- Benefits may include medical, financial, and other benefits depending on the position.
- The role is located in Atlanta, United States, requires 0%–25% travel, and does not provide relocation.
- The position does not offer employment-based visa sponsorship and requires current full-time US work authorization.
Tech Stack
Categories
About The Coca-Cola Company
The Coca-Cola Company is a global beverage manufacturer and brand owner that sells soft drinks, waters, juices, sports drinks, coffee, and dairy to consumers via retail and foodservice, largely through a franchised bottling system. Founded in 1892 and headquartered in Atlanta, it is a public company traded on the NYSE (KO) with products sold in over 200 countries and territories.