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Enercity
last mo.

Cloud & MLOps Expert(m/w/x)

Hannover
Full-timeWith Home OfficeSenior
AI/ML
Data Science

Description

In this role, you will shape the technological foundation for AI systems by building MLOps platforms, implementing CI/CD pipelines, and ensuring compliance and performance across cloud infrastructures. Your work will directly impact the efficiency and reliability of AI applications.

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Requirements

  • Master's degree in Computer Science, Data Science, Cloud Computing, or comparable field
  • Several years of experience in cloud platform engineering, MLOps, or operating AI/ML platforms
  • Familiarity with Docker, Kubernetes, GitOps methodologies, and monitoring tools
  • Understanding of AI and ML infrastructure requirements
  • Structured, cross-team working style and good communication skills
  • Passion for modern AI infrastructure and proactive mindset
  • Master's degree in Computer Science, Data Science, Cloud Computing, or comparable field
  • Several years of professional experience in cloud platform engineering, MLOps, or operating AI/ML platforms
  • Solid expertise in building and automating CI/CD pipelines
  • Confidence in working with Terraform, Crossplane, or OpenTofu
  • Hands-on experience with Docker, Kubernetes, and GitOps methodologies
  • Familiarity with monitoring and observability solutions
  • Good understanding of AI/ML infrastructure requirements
  • Clear communication and effective collaboration skills
  • Programming or scripting skills in Python, Bash, or similar languages
  • Passion for modern AI infrastructure and motivation to improve

Education

Master's degree

Work Experience

5 years

Tasks

  • Build and evolve the enterprise-wide MLOps platform
  • Implement modern CI/CD and ML pipelines
  • Ensure reliable and efficient operation of AI models
  • Design and operate automated CI/CD pipelines for AI and ML applications
  • Create scalable cloud infrastructures for AI workloads
  • Utilize Infrastructure as Code with tools like Terraform and Crossplane
  • Monitor availability and performance of AI/ML platforms
  • Implement observability solutions like Datadog and Grafana
  • Translate technical requirements into robust platform solutions
  • Align with the Central Cloud & Infrastructure team on standards
  • Implement security, governance, and compliance for AI applications
  • Optimize cloud costs for compute-intensive AI workloads
  • Document processes and infrastructure configurations clearly

Tools & Technologies

DockerKubernetesGitOpsCI/CDTerraformCrossplaneOpenTofuAzureAWSGCPGitHub ActionsAzure DevOpsDatadogPrometheusGrafanaAzure Monitor

Languages

EnglishBusiness Fluent

GermanNative

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