▷ Immediate Start: Mlops Site Reliability Engineer

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem Virtually every electronic device in the world is produced using our technologies No laptop smartphone wearable device voice-controlled gadget flexible screen VR device or smart car would have made it into your hands without us KLA invents systems and solutions for the manufacturing of wafers and reticles integrated circuits packaging printed circuit boards and flat panel displays The innovative ideas and devices that are advancing humanity all begin with inspiration research and development KLA focuses more than average on innovation and we invest 15 of sales back into R D Our expert teams of physicists engineers data scientists and problem-solvers work together with the world s leading technology providers to accelerate the delivery of tomorrow s electronic devices Life here is exciting and our teams thrive on tackling really hard problems There is never a dull moment with us Group Division With over 40 years of semiconductor process control experience chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively Enabling the movement towards advanced chip design KLA s Global Products Group GPG which is responsible for creating all of KLA s metrology and inspection products is looking for the best and the brightest research scientist software engineers application development engineers and senior product technology process engineers Central Engineering is KLA s largest engineering organization comprised of 9 Centers-of-Excellence CoE in various disciplines applied across all product groups in the company These CoE include Handling Automation Precision Motion Control Sensors Image Acquisition Platform Design and Packaging Engineering among others Talent includes over 500 engineers across global centers in Israel China India and the US Each CoE contributes not just talent and deliverables per discipline toward product programs but also subject matter expertise best practices roadmaps specialized facilities apparatus models and analytics These differentiate KLA not only in WHAT we do but also in HOW we do it Preferred Qualifications We are seeking a highly skilled and motivated MLOps Site Reliability Engineer SRE to join our team In this role you will be responsible for ensuring the reliability scalability and performance of our machine learning infrastructure You will work closely with data scientists machine learning engineers and software developers to build and maintain robust and efficient systems that support our machine learning workflows This position offers an exciting opportunity to work on cutting-edge technologies and make a significant impact on our organization s success Responsibilities Design implement and maintain scalable and reliable machine learning infrastructure Collaborate with data scientists and machine learning engineers to deploy and manage machine learning models in production Develop and maintain CI CD pipelines for machine learning workflows Monitor and optimize the performance of machine learning systems and infrastructure Implement and manage automated testing and validation processes for machine learning models Ensure the security and compliance of machine learning systems and data Troubleshoot and resolve issues related to machine learning infrastructure and workflows Document processes procedures and best practices for machine learning operations Stay up-to-date with the latest developments in MLOps and related technologies Required Qualifications Bachelor s degree in Computer Science Engineering or a related field Proven experience as a Site Reliability Engineer SRE or in a similar role Strong knowledge of machine learning concepts and workflows Proficiency in programming languages such as Python Java or Go Experience with cloud platforms such as AWS Azure or Google Cloud Familiarity with containerization technologies like Docker and Kubernetes Experience with CI CD tools such as Jenkins GitLab CI or CircleCI Strong problem-solving skills and the ability to troubleshoot complex issues Excellent communication and collaboration skills Preferred Qualifications Master s degree in Computer Science Engineering or a related field Experience with machine learning frameworks such as TensorFlow PyTorch or Scikit-learn Knowledge of data engineering and data pipeline tools such as Apache Spark Apache Kafka or Airflow Experience with monitoring and logging tools such as Prometheus Grafana or ELK stack Familiarity with infrastructure as code IaC tools like Terraform or Ansible Experience with automated testing frameworks for machine learning models Knowledge of security best practices for machine learning systems and data Minimum Qualifications Master s Level Degree or Bachelor s Level Degree and related work experience of 2 years We offer a competitive family friendly total rewards package We design our programs to reflect our commitment to an inclusive environment while ensuring we provide benefits that meet the diverse needs of our employees KLA is proud to be an equal opportunity employer Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees KLA never asks for any financial compensation to be considered for an interview to become an employee or for equipment Further KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA Please ensure that you have searched for legitimate job postings KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers If you are concerned that a communication an interview an offer of employment or that an employee is not legitimate please send an email to to confirm the person you are communicating with is an employee We take your 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