Sr. DevOps Engineer with Machine Learning Ops Tools

Must-Have Skills ML Ops tools – ML FlowKubeflow, ML frameworks – TensorFlowPyTorchKeras, ML Testing Job Description Experience with container technologies (DockerKubernetes) Experience with scripting languages like PythonGolang Experience with a continuous integration system CICD 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 MacOSUnixLinux 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 frameworkslibraries (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. perience with container technologies (DockerKubernetes)