Dein persönlicher KI-Karriere-Agent
MLOps Engineer – Azure & AI/ML Platforms(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Azure
- Azure ML
- Databricks
- AI/ML pipelines
- CI/CD
- Microsoft Fabric
Benefits
Startup-Atmosphäre
- Ownership and freedom to shape solutions
Moderne Technikausstattung
- Access to modern cloud technologies
- Access to data technologies
- Access to AI technologies
Weiterbildungsangebote
- Personal development
- Certifications
Sonstige Zulagen
- Training budget
Lockere Unternehmenskultur
- Culture built on trust
- Culture of autonomy
- Culture of collaboration
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MLOps Engineer – Azure & AI/ML Platforms(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Azure
- Azure ML
- Databricks
- AI/ML pipelines
- CI/CD
- Microsoft Fabric
Benefits
Startup-Atmosphäre
- Ownership and freedom to shape solutions
Moderne Technikausstattung
- Access to modern cloud technologies
- Access to data technologies
- Access to AI technologies
Weiterbildungsangebote
- Personal development
- Certifications
Sonstige Zulagen
- Training budget
Lockere Unternehmenskultur
- Culture built on trust
- Culture of autonomy
- Culture of collaboration
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
KI group GmbH
Branche
IT
Beschreibung
Das Unternehmen transformiert die Art und Weise, wie Unternehmen mit Daten arbeiten, und schafft messbaren Mehrwert durch KI-gestützte Lösungen.
Noch nicht perfekt?
- Computacenter
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