KLA Recruitment Drive; Hiring MLOps Site Reliability Engineer – Apply Now

MLOps Site Reliability Engineer Job Openings in Chennai 2026!!!

KLA announced job vacancy for the post of MLOps Site Reliability Engineer. The place of posting will be at Chennai. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Company Overview

Name of the Company	KLA
Required Qualifications	Graduate / Post Graduate
Skills	AWS, Azure, or Google Cloud
Category	Technology
Work Type	Onsite

They are seeking a highly skilled and motivated MLOps Site Reliability Engineer (SRE) to join their team. In this role, you will be responsible for ensuring the reliability, scalability, and performance of their 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 their machine learning workflows. This position offers an exciting opportunity to work on cutting-edge technologies and make a significant impact on their organization's success.

Job Details

Θ Positions: MLOps Site Reliability Engineer

Θ Job Location: Chennai

Θ Salary: As per company standards

Θ Job Type: Full Time

Θ Requisition ID: 2528750

Roles and 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 Skills & 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

How to Apply

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