Job Description :
Sr. DevOps Engineer ML Ops & Kubernetes Long Term Contract Sunnyvale, CA 5+ years relevant job experience Experience with container technologies (Docker/Kubernetes) Experience with scripting languages like Python/Golang Experience with a continuous integration system CI/CD solution, Jenkins Experience with configuration management systems like: Puppet, Chef, Ansible Experience with Build systems Experience with set up application monitoring (Nagios, Splunk) Experience with YAML, Git, SQL, Databases like MySQL, Oracle Admin level experience with MacOS/Unix/Linux Develop, test, and deploy new features and improvements to the test pipelines. Design and implement automation solutions on distributed infrastructure and systems. Experience deploying machine learning models into production environment. familiarity Machine learning frameworks/libraries (such as TensorFlow, PyTorch, Keras, scikit-learn) Experience or familiarity with MLOps tools such as MLFlow and Kubeflow Model performance monitoring , Network Security Provide an expert level support for end-to-end application landscape with deep technical investigations and skills. Investigate and introduce new technologies for enhancement of the performance, scalability, security and stability of the environment. Work in collaboration with developers to design and deploy new features - Support the configuration deployment of the new tool releases.
             

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