SRE DevOps Engineer

3 - 7 years

0 Lacs

Posted:23 hours ago| Platform: Shine logo

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Job Type

Full Time

Job Description

**Job Description:** As an SRE DevOps in the ML Ops role, you will be responsible for designing, building, refactoring, and releasing software primarily in Python. Your hands-on experience with ML frameworks such as PyTorch, TensorFlow, and Triton will be crucial in handling framework-related issues, version upgrades, and ensuring compatibility with data processing and model training environments. Experience with AI/ML model training and inferencing platforms will be advantageous, as well as familiarity with the LLM fine-tuning system. Your debugging and triaging skills will be put to the test, along with your knowledge of cloud technologies like Kubernetes, Docker, and Linux fundamentals. Being well-versed in DevOps practices and continuous testing is essential, including expertise in DevOps pipeline and automations for app deployment, configuration, and performance monitoring. Your proficiency in test automations and Jenkins CI/CD will be valuable assets in this role. Moreover, your excellent communication, presentation, and leadership skills will enable you to effectively collaborate with partners, customers, and engineering teams. Being well-organized and capable of managing multiple projects in a fast-paced and demanding environment is key. Additionally, having good oral, reading, and writing English abilities is essential for seamless communication within the team. --- **Qualification Required:** - Demonstrated ability in designing, building, refactoring, and releasing software written in Python - Hands-on experience with ML frameworks such as PyTorch, TensorFlow, Triton - Ability to handle framework-related issues, version upgrades, and compatibility with data processing/model training environments - Experience with AI/ML model training and inferencing platforms is a big plus - Experience with the LLM fine-tuning system is a big plus - Debugging and triaging skills - Cloud technologies like Kubernetes, Docker, and Linux fundamentals - Familiarity with DevOps practices and continuous testing - DevOps pipeline and automations: app deployment/configuration & performance monitoring - Test automations, Jenkins CI/CD - Excellent communication, presentation, and leadership skills - Well-organized and able to manage multiple projects in a fast-paced and demanding environment - Good oral/reading/writing English ability,

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