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About PACCAR PACCAR, Inc. is a Fortune 500 company established in 1905 and is recognized as a global leader in the commercial vehicle, financial, and customer service fields. PACCAR is a global technology leader in the design, manufacture, and customer support of high-quality light-, medium- and heavy-duty trucks under its internationally recognized brands Kenworth, Peterbilt and DAF nameplates. PACCAR designs and manufactures advanced diesel engines and provides customized financial services, information technology and truck parts related to its principal business. Your next career move is waiting at PACCAR whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services. Join the PACCAR team today! Division Information PACCAR's Information Division (ITD), located in Renton, WA, utilizes cutting-edge technology to provide systems development, consulting, voice and data communications services to the entire corporation, which has high visibility in the technology sector. The Role The MLOps Engineer Intern Role operates within Advanced Analytics Center of Excellence (CoE) and is responsible for working with Data Scientists to deploy/operationalize Machine Learning solutions using automation. The primary tasks of this role include supporting MLOps Engineering to determine requirements, build, test, deploy, and support CI/CD Pipelines for machine learning models built by Data Scientists. Strong communication and documentation skills required to ensure translation and interpretation of requirements needed to build an effective CI/CD Pipeline. Projects for this Role Planned initiatives for this role include: Build GitHub Actions CI/CD pipeline for current projects Document the MLOps CI/CD pipeline Participate in resolving issues with capturing and staging data for ML pipelines Enhance existing pipelines to add Site Reliability Engineering (SRE) capabilities to enable proactive issue alerting and resolution About the Team As an MLOps Engineer Intern, you will work in the Advanced Analytics Center of Excellence (CoE) team. The CoE is a unique team within PACCAR as it focuses on solving PACCAR's most important challenges using Data and Advanced Analytics. As part of a diversified global Fortune 500 company, the CoE works on a huge variety of projects; from predictive analytics models to support our financial services divisions, prescriptive analytics to support PACCAR's sales efforts, and data mining projects to identify the drivers of warranty claims. The CoE is PACCAR's leading Analytics team, working on high-impact and high-visibility projects. Come join this dynamic, growing, and pioneering team! Job Responsibilities & Projects Ability to design and implement MLOps CI/CD pipelines on GCP Cloud using a combination of GitHub Actions, Python, Bash scripting. Required Experience & Skills Programming language Python, Bash Scripting. Understanding of software development lifecycle. 1+ years hands-on IT technical experience. Communicate clearly with team members, technical support groups, and management Able to perform troubleshooting and resolve issues with GitHub Actions and Linux Servers. Basic understanding of Change Management and managing Production solutions. Education Enrolled in Undergraduate or Graduate degree in IT, Computer Science, Data Science As a U.S. PACCAR intern, you have a full range of benefit options including: 401k with up to a 5% company match Sick Leave Medical, dental, and vision plans for you and your family Flexible spending accounts (FSA) and health savings account (HSA) Life and accidental death and dismemberment insurance EAP services including wellness plans, estate planning, financial counseling and more Gl