MLOps Site Reliability Engineer
MLOps Site Reliability Engineer
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Job Description
Company Overview
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Job 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 organizations 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:
- Bachelors 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:
- Masters 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
Masters / Bachelors 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 KLAs Careers website 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.
Employment Type
Full-Time
