Senior MLOps Engineer @ AVENGA

3 months ago


Remote, Czech Republic AVENGA Full time
  • Experience with Kubernetes
  • Experience in operationalization of Data Science projects (MLOps) using at least one of the popular - frameworks or platforms (e.g. Kubeflow & AWS Sagemaker).
  • Good understanding of ML and AI concepts. Hands-on experience in ML model development.
  • Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit.
  • Experience in CI/CD/CT pipelines implementation.
  • Experience with AWS
,[Research and implement MLOps tools, frameworks and platforms for our Data Science projects. , Work on a backlog of activities to raise MLOps maturity in the organization. , Proactively introduce a modern, agile and automated approach to Data Science. , Conduct internal training and presentations about MLOps tools' benefits and usage.] Requirements: Kubernetes, MLOps, Kubeflow, AWS SageMaker, AI, Python, Bash, CI, CD, AWS Additionally: Sport subscription, Training budget, Private healthcare, International projects.

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