SRE DevOps ML Engineer
2 days ago
Key Skills - MLOps , LLMOps , CI/CD for ML , Fast API , Teraform , Azure , AWS , Python, DevOps Engineer.
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.
Familiar 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 to be able to work and collaborate with partners, customers and engineering teams.
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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