ML Engineer

Wrap models in a scoring function for an API or a scheduled batch run, wrapping a model in a simple web interface, ensuring appropriate logging for monitoring/observability, crafting documentation for HLA and API specs, configuring Docker/Kubernetes, etc. Build streamlined data transformation pipelines, optimizing feature engineering steps, utilizing data caching services, integrating with other data engines/APIs, etc. Monitoring compute health and response latency of infrastructure for realtime (API) and batch model scoring. Monitoring health of data pipelines on which models depend (eg, handling delays in upstream ETL for scheduled batch scoring runs). Troubleshooting issues with the above by utilizing logs/monitoring tools of various Azure services. Coordinating with necessary stakeholders and data scientists when issues arise with model scoring, performance or data drift.

According to JobzMall, the average salary range for a ML Engineer in 1 Coca Cola Pl SE, Atlanta, GA 30313, USA is $105,000 - $143,000. This range is very broad and can vary significantly depending on a variety of factors, such as the individual's experience, education, and qualifications. Additionally, the salary range may change depending on the specific role and industry.

The Coca-Cola Company is an American multinational corporation, and manufacturer, retailer, and marketer of nonalcoholic beverage concentrates and syrups. The company is best known for its flagship product Coca-Cola, invented in 1886 by pharmacist John Pemberton in Atlanta, Georgia.