DevOps Engineer - AI & Machine Learning

As a DevOps Engineer for AI and Machine Learning at KLA, you will design, build, and maintain scalable infrastructure to support machine learning model training and deployment. You will collaborate with data scientists and ML engineers to create CI/CD pipelines, manage cloud resources, and ensure high availability and reliability. The role involves automating workflows, monitoring performance, and implementing security best practices. You will work with containerization technologies such as Docker and Kubernetes, and leverage infrastructure as code tools like Terraform. Additionally, you will provision and configure compute resources, set up monitoring and logging systems, and ensure compliance with security policies. The team works in an agile environment, delivering features in short iterations, and you will have the opportunity to mentor junior engineers and participate in design reviews. This position offers an opportunity to contribute to cutting‑edge AI products used in semiconductor manufacturing, driving innovation and operational excellence. The role also requires staying up to date with emerging technologies and contributing to the continuous improvement of our DevOps practices.

• 3+ years of experience in DevOps or infrastructure engineering
• Proficiency with Linux and scripting languages such as Bash and Python
• Experience with Docker, Kubernetes, and CI/CD tools like Jenkins or GitLab CI
• Knowledge of cloud platforms (AWS, Azure, or GCP)
• Understanding of ML model serving and MLOps practices
• Strong problem‑solving, communication, and teamwork skills