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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Machine Learning Architect - **Company:** The Coca-Cola Company - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Salary:** $164,000.0 - $193,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Microsoft Azure, Big Data, Business Process Modeling, Data Transformation, Data Structures, Relational Databases, DevOps, Enterprise Architecture Framework, Github, R (Programming Language), Statistical Hypothesis Testing, Integer Programming, Python (Programming Language), Machine Learning, Microsoft Office, Azure Machine Learning, SQL Databases, Data Streaming, Unstructured Data, Supervised Learning, Cloud Platform System, Apache Spark, Gitlab, Information Technology, Cosmos DB, Data Management, Machine Learning Operations, Azure Synapse Analytics, Software Version Control, Databricks, Programming Languages - **Published:** August 6, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3ddcec0f10bc756c ## About the Role Bachelor's or Master's degree in a quantitative field, such as Data Science, Statistics, Computer Science, Economics, Finance, Mathematics, Operations Research or other quantitative discipline. Ph.D. preferred. * 8+ years' experience applying a range of statistical, modeling, and mathematical optimization techniques including hypothesis testing, dimensionality reduction, Mixed-Integer Programming (MIP), supervised learning (classification and regression), Bayesian modeling, forecasting, and unsupervised clustering and putting solutions into production. * Experience gathering, interpreting and translating business requirements. * Proficient experience with analytical and programming languages and packages, such as Python, R, and SQL. * Able to understand various data structures and common methods in data transformation. * Demonstrated experience in large-scale data wrangling with relational databases and/or Spark. * Demonstrated experience building end-to-end (E2E) data science and analytic solutions from ideation, production, and ongoing monitoring. * Demonstrated experience coordinating with cross-functional teams in completion of E2E solutions. * Demonstrated experience with the Microsoft Azure analytics stack (Cosmos DB, Azure Synapse, Azure ML, Databricks) * Strong aptitude for learning and applying new technologies related to Data Science and Data Management. * Demonstrated ability to communicate complex analytical concepts and results at multiple levels to both technical and non-technical audiences. * Experience with code version control platforms like GitHub, GitLab or Azure DevOps. Functional Practical experience with as many of the following as possible: * Handles multiple competing priorities in a fast-paced, deadline-driven environment * Strong attention to details and excellent problem-solving skills * Ability to work in a collaborative team environment * Highly innovative, adaptable, and self-directed * Results-oriented with a delivery focus * Presentation skills: Ability to communicate technical topics to business audience, including senior executive stakeholders * Be able to collaborate across other levels of the organization * Team player who can lead a discussion to defined outcomes * Effective Communication * Pursuing Innovation, Innovation & Technology: The ability to work with an award-winning team that is on the cutting edge of innovation., Agile Methodology, Business Process Modeling, Change Management, Cloud Platform, Communication, Data Flow Diagram, DevOps, Digital Transformation, Enterprise Architecture Framework, Microsoft Azure Databricks, Microsoft Office, User Experience (UX) ## Description Collaborate with cross-functional teams to understand business requirements and objectives. * Translate business requirements by incorporating data and develop ML and AI algorithms to produce actionable insights for various functional areas and use-cases, including Marketing, Finance, Technical Innovation and Supply Chain (among others) across the Globe. * Leverage a diverse set of large structured and unstructured data to derive meaningful insights and information sets for modeling. * Visualize and interpret data and create reports and actionable insights. * Develop, manage, and maintain end-to-end (E2E) AI/ML and analytic solutions from ideation, production, and ongoing monitoring * Communicate complex analytical work to a variety of technical and non-technical stakeholders, including executive management. * Partner with ML OPS to scale and operationalize ML and AI use-cases. * Develop and maintain technical documentation in accordance with the agreed standards. * Build and maintain a robust library of data science solutions, reusable templates, algorithms and supporting code. * Leverage CI and CD principles to automate and improve repeatability of deployments. * Keep abreast of industry trends and developments in data science and analytics. * Mentor, guide, and develop junior/aspiring data scientists across the organization. ## Related Videos - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Enabling automated 1-click customer deployments with built-in quality and security](https://www.wearedevelopers.com/videos/83-enabling-automated-1-click-customer-deployments-with-built-in-quality-and-security) ## Related Articles - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)