Machine Learning Engineer II

KFC•Plano, TX

6d•Hybrid

About The Position

We are seeking a talented and passionate Machine Learning Engineer to join our dynamic team at Yum Brands. As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting-edge machine learning models and solutions to enhance various aspects of our business operations, from customer experience optimization to supply chain management.

Requirements

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 Haves

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.

Responsibilities

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.