When our square shaped burgers made their first sizzle on the scene more than 50 years ago, people knew our approach wasn’t like any other. Same goes for the way we support our employees. Our culture of openness, flexibility, and inclusiveness allows everybody to flourish in their own way. If you’re looking for a career where you can be part of the action as we continue to grow our iconic brand - We got you!

The MLOps Engineer will be at the forefront of integrating machine learning models into production environments, focusing on automation, scalability, and reliability. They will work on deploying and managing ML models across various cloud platforms, ensuring efficient workflows and adherence to MLOps best practices. This role involves building and maintaining CI/CD pipelines, automating deployment processes, and optimizing the performance and scalability of ML systems.

The engineer will be responsible for developing tools to enhance data security, integrity, and overall system efficiency. They will collaborate closely with data scientists, software engineers, and IT operations to streamline model deployment, monitor performance, and troubleshoot issues. Ensuring compliance with industry standards and regulatory requirements is also a key part of this role.

This position requires a deep understanding of machine learning and operational principles, combining expertise in data science, software engineering, and IT operations. The ideal candidate will have experience with cloud platforms, container orchestration, and continuous integration tools, along with strong problem-solving skills and the ability to work in a dynamic, fast-paced environment.

• Assists in managing the day-to-day operations of server workloads in cloud environments by monitoring system performance, configuration and maintenance.
• Automating the machine learning lifecycle. This includes automating tasks like model training, deployment, and monitoring.
• Deploy and manage machine learning models in production. This involves setting up the infrastructure to run the models and ensuring they function properly.
• Monitor the performance of models in production and identify any issues. They also work to optimize models for better performance and efficiency.
• Collaborate \ Partner with data scientists, DevOps engineers, and other stakeholders to ensure successful integration of machine learning into business operations.
• Liason with IT to assist with the Data Engineering and hardware implementation required to support the predictive demand model and support roll-out of associated kitchen equipment.
• Keep up to date on industry trends and recommend solutions to meet business needs.
• Participate in cross functional team meetings and provide technical support as needed for the management of operations test, market tests, or national roll outs of assigned projects including conducting restaurant surveys, data collection, management of supplier time lines and contractor activities. 

#LI-Remote

• Bachelors Degree in IT, Data Science, Statistics, Mathematics, Engineering or related degree.
• 1-3 years of experience with Spark and Data Proc Clusters.
• 1-3 years of experience with automation, build, and deployments using Cloud Formation or Terraform.
• Proficient in leveraging CI and CD tools to automate testing and deployment.  Experience working in an Agile DevOps environment.
• ML Ops and Automation (Jenkins and GitLab).
• Excellent understanding of analytics, algorithms and simulation tools.
• Demonstrated ability to manage complex systems, deal with internal customers, demonstrate leadership and work across departments.
• Ability to contribute toward the development and evolution of MLOps practices.

“Wendy’s was built on the premise, "Quality is our Recipe®," which remains the guidepost of the Wendy's system. Today, Wendy's and its franchisees employ hundreds of thousands of people across more than 7,000 restaurants worldwide with a vision of becoming the world's most thriving and beloved restaurant brand.

The base pay range for this position is listed below. The base pay actually offered will take into account internal equity and budget for the open position and also may vary depending on the candidate’s job-related knowledge, skills, and experience, among other relevant factors. This range does not include an estimated value for any benefits, bonus, or other incentives that may be applicable based on position. * The target annual bonus for this role is XX% of annualized base salary, based on actual company and personal performance.

Our square burgers make us different and so do our benefits! Our restaurant support roles are eligible for a wide array of benefits, including things such as parental leave, free EAP sessions, company 401k match and other great offerings. For more details about our benefits, including an overview of eligibility and terms for certain benefits, please visit our benefits website, www.wendysbenefits.com.*

NOTE: Wendy’s benefits, bonus, and other incentives are governed by the applicable legal plans and policies and, where appropriate, may be subject to Board approval an individual award agreement terms. Those documents supersede all other information regarding Wendy’s benefits, bonus, and other incentives. Wendy’s retains the right to amend or terminate its plans and policies at its sole discretion, in accordance with applicable plans, policies and laws.”