- 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.
- Robust 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.