Computacenter
MLOPs Engineer - Data & AI Platforms(m/w/x)
Full-timeWith HomeofficeExperienced
Frankfurt am Main, Stuttgart, Hannover, Hamburg, München, Ludwigshafen am Rhein, Nürnberg, Köln, Berlin
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KIKI group GmbH
MLOps Engineer – Azure & AI/ML Platforms(m/w/x)
Köln, München
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Building and operating MLOps platforms on Azure for enterprise AI systems, including LLMs, at data transformation firm creating AI-driven value. Strong MLOps and DevOps experience in Azure environments required. Ownership to shape solutions, direct access to cutting-edge cloud and AI tech.
Requirements
- Strong experience in DevOps and MLOps within Azure environments
- Hands-on experience with Azure ML, Databricks, and AI/ML pipelines
- Proven experience deploying and operating AI/ML models in production
- Solid understanding of model versioning, monitoring, and lifecycle management
- Experience with CI/CD for ML systems
- Ability to operate independently and deliver value with minimal onboarding
- Clear communication skills across technical and non-technical stakeholders
- Experience with LLMs, GenAI, or AI agents in production
- Background in enterprise data platforms or large-scale analytics environments
- Familiarity with Microsoft Fabric and modern lakehouse architectures
Tasks
- Design, build, and operate MLOps platforms on Azure for enterprise-scale AI systems
- Deploy, monitor, and manage AI/ML models in production, including LLMs
- Build and maintain MLOps pipelines for training, deployment, versioning, and rollback
- Implement model monitoring, logging, performance tracking, and lifecycle management
- Integrate AI systems with Azure ML, Databricks, and manage secure permissions/groups
- Collaborate closely with data engineers, AI engineers, and product teams
- Ensure reliability, scalability, and compliance of AI workloads in production
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Azure
- Azure ML
- Databricks
- AI/ML pipelines
- CI/CD
- Microsoft Fabric
Benefits
Startup Environment
- Ownership and freedom to shape solutions
Modern Equipment
- Access to modern cloud technologies
- Access to data technologies
- Access to AI technologies
Learning & Development
- Personal development
- Certifications
Additional Allowances
- Training budget
Informal Culture
- Culture built on trust
- Culture of autonomy
- Culture of collaboration
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of KI group GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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KIKI group GmbH
MLOps Engineer – Azure & AI/ML Platforms(m/w/x)
Köln, München
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Building and operating MLOps platforms on Azure for enterprise AI systems, including LLMs, at data transformation firm creating AI-driven value. Strong MLOps and DevOps experience in Azure environments required. Ownership to shape solutions, direct access to cutting-edge cloud and AI tech.
Requirements
- Strong experience in DevOps and MLOps within Azure environments
- Hands-on experience with Azure ML, Databricks, and AI/ML pipelines
- Proven experience deploying and operating AI/ML models in production
- Solid understanding of model versioning, monitoring, and lifecycle management
- Experience with CI/CD for ML systems
- Ability to operate independently and deliver value with minimal onboarding
- Clear communication skills across technical and non-technical stakeholders
- Experience with LLMs, GenAI, or AI agents in production
- Background in enterprise data platforms or large-scale analytics environments
- Familiarity with Microsoft Fabric and modern lakehouse architectures
Tasks
- Design, build, and operate MLOps platforms on Azure for enterprise-scale AI systems
- Deploy, monitor, and manage AI/ML models in production, including LLMs
- Build and maintain MLOps pipelines for training, deployment, versioning, and rollback
- Implement model monitoring, logging, performance tracking, and lifecycle management
- Integrate AI systems with Azure ML, Databricks, and manage secure permissions/groups
- Collaborate closely with data engineers, AI engineers, and product teams
- Ensure reliability, scalability, and compliance of AI workloads in production
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Azure
- Azure ML
- Databricks
- AI/ML pipelines
- CI/CD
- Microsoft Fabric
Benefits
Startup Environment
- Ownership and freedom to shape solutions
Modern Equipment
- Access to modern cloud technologies
- Access to data technologies
- Access to AI technologies
Learning & Development
- Personal development
- Certifications
Additional Allowances
- Training budget
Informal Culture
- Culture built on trust
- Culture of autonomy
- Culture of collaboration
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of KI group GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
KI group GmbH
Industry
IT
Description
Das Unternehmen transformiert die Art und Weise, wie Unternehmen mit Daten arbeiten, und schafft messbaren Mehrwert durch KI-gestützte Lösungen.
Not a perfect match?
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