MLOps Site Reliability Engineer

Description

/ 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 :

Preferred Qualifications :

Minimum Qualifications

Master's / Bachelor's Level Degree and related work experience of 2 years

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 privacy very seriously and confidentially handle your information.