Computacenter
MLOPs Engineer - Data & AI Platforms(m/w/x)
Vollzeit
mit Homeoffice
Berufserfahren
Keine Angabe
Frankfurt am Main, Stuttgart, Hannover, Hamburg, München, Ludwigsha...
EN
Enercity8 Tage
Cloud & MLOps Expert(m/w/x)
Vollzeit
mit Homeoffice
Senior
AI/ML Job
Data Science
Keine Angabe
Hannover
Nejo KI-Zusammenfassung
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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Anforderungen
- •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
Master-Abschluss
Berufserfahrung
5 Jahre
Deine Aufgaben
- •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 & Technologien
DockerKubernetesGitOpsCI/CDTerraformCrossplaneOpenTofuAzureAWSGCPGitHub ActionsAzure DevOpsDatadogPrometheusGrafanaAzure Monitor
Sprachen
Englisch – verhandlungssicher
Deutsch – fließend
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Enercity erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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