Die KI-Suchmaschine für Jobs
Cloud & MLOps Expert(m/w/x)
Beschreibung
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.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
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
Ausbildung
Berufserfahrung
5 Jahre
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
Sprachen
Englisch – verhandlungssicher
Deutsch – fließend
- ComputacenterVollzeitmit HomeofficeBerufserfahrenFrankfurt am Main, Stuttgart, Hannover, Hamburg, München, Ludwigshafen am Rhein, Nürnberg, Köln, Berlin, Düsseldorf
- enercity Netz GmbH
AI Solution Expert(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenHannover - Deloitte GmbH Wirtschaftsprüfungsgesellschaft
Machine Learning Ops Engineer(m/w/x)
Vollzeitmit HomeofficeKeine AngabeLeipzig, Berlin, Düsseldorf, Frankfurt am Main, Hannover, München - enercity Netz GmbH
Solution Architect – Cloud & AI Platforms(m/w/x)
Vollzeitmit HomeofficeSeniorHannover - Deloitte GmbH Wirtschaftsprüfungsgesellschaft
Senior Cloud (Data) Platform Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, Düsseldorf, Frankfurt am Main, Hamburg, Hannover, Köln, München, Stuttgart
Cloud & MLOps Expert(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
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.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
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
Ausbildung
Berufserfahrung
5 Jahre
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
Sprachen
Englisch – verhandlungssicher
Deutsch – fließend
Über das Unternehmen
Enercity
Branche
Other
Beschreibung
Das Unternehmen unterstützt die Energiewende und gestaltet diese nachhaltig.
- Computacenter
MLOPs Engineer - Data & AI Platforms(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenFrankfurt am Main, Stuttgart, Hannover, Hamburg, München, Ludwigshafen am Rhein, Nürnberg, Köln, Berlin, Düsseldorf - enercity Netz GmbH
AI Solution Expert(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenHannover - Deloitte GmbH Wirtschaftsprüfungsgesellschaft
Machine Learning Ops Engineer(m/w/x)
Vollzeitmit HomeofficeKeine AngabeLeipzig, Berlin, Düsseldorf, Frankfurt am Main, Hannover, München - enercity Netz GmbH
Solution Architect – Cloud & AI Platforms(m/w/x)
Vollzeitmit HomeofficeSeniorHannover - Deloitte GmbH Wirtschaftsprüfungsgesellschaft
Senior Cloud (Data) Platform Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, Düsseldorf, Frankfurt am Main, Hamburg, Hannover, Köln, München, Stuttgart