Machine Learning Engineer II
The Coca-Cola Company17 hours ago
Atlanta, GA, USAMid Level
Base Salary
$152k - $178k/yr
Responsibilities
- Partner with product managers, designers, tech leads, and business stakeholders to translate customer and commercial questions into scalable data and segmentation solutions.
- Design and maintain Azure-based data platform and segmentation architectures spanning ingestion, storage, processing, analytics, and activation.
- Build production-grade data preparation, feature engineering, training, inference, and ML pipelines for batch and near-real-time use cases.
- Develop predictive, recommendation, classification, regression, clustering, forecasting, deep learning, computer vision, embedding, vector search, and RAG solutions as appropriate.
- Develop APIs and services that expose model predictions to web, mobile, CRM, Salesforce, and other enterprise applications.
- Implement model evaluation, testing, validation, monitoring, versioning, deployment, retraining, and rollback strategies.
- Ensure data quality, lineage, observability, reliability, privacy, consent, regulatory compliance, and responsible use of customer and commercial data.
- Troubleshoot data pipelines, models, inference services, APIs, and production environments, and participate in architecture and code reviews.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent experience.
- At least 3 years of hands-on experience in data platform, analytics engineering, backend engineering, or related roles.
- Strong Python programming experience and familiarity with common data and machine learning libraries.
- Production machine learning experience with frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoost.
- Strong understanding of supervised and unsupervised learning, model selection, feature engineering, and statistical modeling.
- Experience preparing large datasets, designing training and inference pipelines, deploying models to production, and working with large enterprise datasets using SQL.
- Practical MLOps experience including experiment tracking, model versioning, CI/CD, automated testing, deployment, and monitoring.
- Experience developing or integrating APIs and services for model inference and applying strong software engineering practices.
- Experience with cloud-based data and machine learning platforms, especially Azure data platform capabilities.
- Ability to select the simplest effective modeling approach and communicate effectively with product, business, engineering, and data teams.
Benefits
- Base pay is listed at $152,000–$178,300 USD annually, with medical, financial, and other benefits offered depending on the position.
- The role is located in Atlanta, United States, requires 0%–25% travel, and does not provide relocation.
- Annual incentive reference value is 15%.
- The position does not offer employment-based visa sponsorship, including H-1B sponsorship.
Categories
Data EngineeringML Engineering
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.