MLOps / DevOps Engineer @

2 weeks ago

Remote Kraków, Czech Republic Numlabs Full time
  • Minimum of 3 years of hands-on experience in DevOps and/or MLOps roles
  • Proficiency in CI/CD tools such as GitLab CI/CD, Jenkins, GitHub Actions
  • Advanced knowledge of containerization and orchestration technologies, including Kubernetes and Docker
  • Practical experience with Infrastructure as Code (IaC) tools like Terraform, Ansible, and Helm Charts
  • Familiarity with ML workflow orchestration tools such as MLflow, Kubeflow, or ArgoCD
  • Strong scripting skills in Python and Bash for automation purposes
  • Proven experience in optimizing and deploying Machine Learning models in production environments

Job Description:

We are looking for a DevOps / MLOps Engineer to join our team and support the development, automation, and scaling of cloud infrastructure, as well as the implementation of CI/CD processes for Machine Learning initiatives. The role involves working on both in-house projects and client-facing engagements. If you have experience managing cloud environments and deploying ML models to production, this could be the perfect opportunity for you

Seniority: Mid with 3+ years of relevant experience

Remote vs Onsite: Remote

Salary: 100 - 150 PLN/hour

Wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez NUMLABS sp. z o.o. z siedzibą w: Emaus 5, 30-201 Kraków (Pracodawca), jako administratora danych osobowych w celu przeprowadzenia rekrutacji na stanowisko wskazane w ogłoszeniu

,[Managing cloud infrastructure across AWS, GCP, or Azure, Implementing CI/CD pipelines tailored for Machine Learning model deployment, Deploying and maintaining Kubernetes and Docker clusters, Automating infrastructure using Infrastructure as Code (IaC) principles with Terraform and Ansible, Optimizing ML pipelines and monitoring their performance in production environments, Designing and implementing model monitoring solutions to ensure reliability and accuracy of deployed ML models] Requirements: Python, AWS, DevOps, MLOps, CD tools, GitLab CI, GitHub, Kubernetes, Docker, Infrastructure as Code, Machine learning, Jenkins, Terraform, Ansible, Kubeflow, Helm Charts, MLflow, Bash, ArgoCD Additionally: Sport subscription, Small teams, International projects, Free coffee, Shower, No dress code.

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