Yum! Brands

1 month ago

Sr Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Hands-on Senior Machine Learning Engineer to deploy, maintain, and improve production ML workflows across AWS, collaborating with Data Scientists and Engineers to build scalable ML systems for media measurement and customer analytics.

Location: Irvine, Plano, Louisville

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Deploy, monitor, and maintain media measurement and customer modeling systems in partnership with Data Science and Engineering teams.
•Develop and maintain SageMaker processing and training jobs, model endpoints, and supporting infrastructure across development, testing, and production environments.
•Contribute to Step Functions, Lambda functions, and Airflow (MWAA) workflows that orchestrate model training, scoring, retraining, and analytics pipelines.
•Support MLflow model registration and promotion processes, configuration management, and versioned model artifacts.
•Build and maintain Docker images, ECR repositories, and GitLab CI/CD pipelines to enable reliable model deployment and release processes.

Key Requirements

•Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
•3+ years of experience in Machine Learning Engineering, MLOps, Software Engineering, or related technical roles.
•Strong Python development skills, including experience with pandas, PyTorch, scikit-learn, boto3, and SQL.
•Experience working with AWS services such as SageMaker, Step Functions, Lambda, S3, IAM, and ECR.
•Experience developing or supporting orchestration workflows using Airflow, Glue, or similar technologies.

Experience:3+ yearsData scienceMlopsCloud

Education:Bachelor's

Skills:CollaborationCommunicationProblem-solvingTeamwork

Languages:English

Tech Stack:PythonPandasPyTorchScikit-learnBoto3SQLAWSSageMakerStep FunctionsLambdaS3IAMECRAirflowGlueSnowflakeRedshiftAthenaDockerCI/CD

Company Brief

Yum! Brands

Yum! Brands is a global quick-service restaurant company that develops, franchises and operates KFC, Pizza Hut, Taco Bell and Habit Burger & Grill, serving tens of thousands of restaurants across more than 150 countries with digital and franchise-led growth strategies.

Industry: Restaurants & Food Service

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Louisville, United States

Founded: 1997

Glassdoor: 3.7

Website LinkedIn Glassdoor

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Yum! Brands

1 month ago

Sr Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Irvine, Plano, Louisville

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Deploy, monitor, and maintain media measurement and customer modeling systems in partnership with Data Science and Engineering teams.
•Develop and maintain SageMaker processing and training jobs, model endpoints, and supporting infrastructure across development, testing, and production environments.
•Contribute to Step Functions, Lambda functions, and Airflow (MWAA) workflows that orchestrate model training, scoring, retraining, and analytics pipelines.
•Support MLflow model registration and promotion processes, configuration management, and versioned model artifacts.
•Build and maintain Docker images, ECR repositories, and GitLab CI/CD pipelines to enable reliable model deployment and release processes.

Key Requirements

•Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
•3+ years of experience in Machine Learning Engineering, MLOps, Software Engineering, or related technical roles.
•Strong Python development skills, including experience with pandas, PyTorch, scikit-learn, boto3, and SQL.
•Experience working with AWS services such as SageMaker, Step Functions, Lambda, S3, IAM, and ECR.
•Experience developing or supporting orchestration workflows using Airflow, Glue, or similar technologies.

Experience:3+ yearsData scienceMlopsCloud

Education:Bachelor's

Skills:CollaborationCommunicationProblem-solvingTeamwork

Languages:English

Tech Stack:PythonPandasPyTorchScikit-learnBoto3SQLAWSSageMakerStep FunctionsLambdaS3IAMECRAirflowGlueSnowflakeRedshiftAthenaDockerCI/CD

Company Brief

Yum! Brands

Industry: Restaurants & Food Service

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Louisville, United States

Founded: 1997

Glassdoor: 3.7

Website LinkedIn Glassdoor