Machine Learning Engineer II

Yum! Center for Global Franchise Excellence

Machine Learning Engineer developing and deploying machine learning solutions for Yum Brands. Collaborating with teams to optimize operations from customer experience to supply chain management.

Posted 6/16/2026full-timePlano • California, Kentucky, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $105,500 - $132,200 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKafkaKubernetesPulsarPythonRabbitMQ

About the role

Key responsibilities & impact

Collaborate with cross-functional teams including data scientists, software engineers, and business stakeholders to identify opportunities for leveraging machine learning techniques to drive business outcomes.
Design, develop, and deploy scalable machine learning models and algorithms that address business challenges and improve operational efficiency.
Optimize machine learning models for performance, scalability, and efficiency.
Build robust data pipelines and infrastructure to support the training and deployment of machine learning models in production environments.
Work with DevOps teams to automate deployment processes, monitor system performance, and ensure the smooth operation of applications and services in production.
Stay updated on emerging technologies and industry trends in machine learning, software engineering, and cloud computing, and evaluate their potential impact on our business operations.

Requirements

What you’ll need

Bachelor’s or master’s degree in computer science, engineering, mathematics, or a related field.
Proven experience (4+ years) in developing and deploying in production environments, preferably in the context of real-world business applications.
Proficiency in Python with strong software engineering skills and experience in building scalable and maintainable code.
Proficiency in message queue technologies and services like Kafka, Pulsar, or RabbitMQ and experience working with real-time data streaming.
Experience working with containerization technologies such as Docker and Kubernetes.
Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced and dynamic environment.
**Nice to Have:**
Familiarity with latest tools and trends surrounding Large Language Models and Generative AI.
Experience with cloud computing platforms such as AWS, Azure, or GCP.
Experience with version control systems, such as Git.

Benefits

Comp & perks

Employees (and their eligible family members) may enroll in the following types of insurance coverage: medical, dental, vision, legal, and accidental death and dismemberment, as well as FSA/HSA (depending on enrolled medical plan).
Yum! also provides short-term disability, long-term disability, and life insurance.
Employees may enroll in our 401(k) plan.
Yum! provides 4 weeks of vacation, paid sick leave, 10 paid holidays, a floating day off, half day Fridays year-round and 2 paid days for volunteer time each calendar year.

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningPythondata pipelinesscalable codemessage queue technologiesKafkaPulsarRabbitMQDockerKubernetes

Soft Skills

analytical skillsproblem-solving skillscommunication skillscollaboration skills

Certifications

Bachelor’s degreeMaster’s degree