Senior DevOps Engineer

Roles and Responsibilities :

• Design, develop, and maintain scalable DevOps infrastructure using AIML to support machine learning models.
• Collaborate with data scientists to integrate ML models into production environments, ensuring seamless deployment and monitoring.
• Develop automated testing frameworks for continuous integration (CI) pipelines to ensure high-quality software releases.
• Troubleshoot complex issues related to GPU performance optimization on cloud platforms like AWS or Azure.

Job Requirements :

• 7-15 years of experience in DevOps engineering with expertise in AIML, CI/CD, and large language models.
• Strong understanding of Python programming language and its applications in ML development.
• Experience with GPU programming languages such as CUDA or OpenCL is a plus.
• Proven track record of successfully implementing CI/CD pipelines using popular tools like Jenkins.