20 beste Stellen als deployed engineer in pullach im isartal, by – aktuell auf Personalsuche

MLOps Engineer – Azure & AI/ML Platforms (m/f/d)
KI group GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Azure
- Datenbanken
- Bachelor
Frontend / UX Engineer
Atira —München
- Vollzeit
- Informatik
- JavaScript
- Künstliche Intelligenz
Direkt bewerben
Manufacturing Engineer – Automation & Process Development (all genders)
SKD SE —München
- Vollzeit
- Bachelor
- Produktion
9 Tage
Senior AI Software Engineer (m/f/d)
Peter Park System GmbH —München
- Vollzeit
- Master
- AWS
- APIs
- Kostenloser Parkplatz
- Homeoffice-Möglichkeit
Werkstattmitarbeiter - Prototyping & Additive Manufacturing Technician (all genders)
SKD SE —München
- Vollzeit
- Master
- Produktion
Lead AI Systems Engineer (All Genders)
zooplus SE —München
- 74.700 € – 112.100 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Azure
- Informatik
- AWS
Direkt bewerben
AI Engineer
Atira —München
- Vollzeit
- Informatik
- Master
- Künstliche Intelligenz
- Kostenlose Verpflegung
Direkt bewerben
Principal Engineer for IT Automation & AI transformation (Remote)
SoSafe —München
- Vollzeit
- Homeoffice
- Künstliche Intelligenz
- Führungserfahrung
- Flexible Arbeitszeiten
- Empfehlungsprogramm
Test Automation Engineer (m/f/d)
retarus GmbH —München
- Java
- Softwareentwicklung
- Python
Senior AI Software Engineer (m/f/d)
Quantum-Systems GmbH —Gilching
- Vollzeit
- C++
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Direkt bewerben
Staff AI Agent Engineer – Moveworks | Customer Deployment
ServiceNow —München
- Vollzeit
- Hybrides Arbeiten
- Azure
- Windows
- Master
Direkt bewerben
Test & Verification Engineer – Environmental (all genders)
SKD SE —München
- Vollzeit
- Militär
- Elektrotechnik
11 Tage
Staff Frontend Engineer
PPRO —München
- Vollzeit
- Hybrides Arbeiten
- Azure
- Systemdesign
- AWS
- Mitgliedschaft im Fitnessstudio
4 Tage
Solutions & Deployment Engineer (m/f/d)
driveblocks —München
- Vollzeit
- Doktorat
- Informatik
- Master
- Flexible Arbeitszeiten
Direkt bewerben
Manufacturing Engineering Manager (all genders)
SKD SE —München
- Vollzeit
- CAD
- Master
- Montage
9 Tage
Quality Engineer Production (All genders)
SKD SE —München
- Vollzeit
- Bachelor
- Produktion
- Kommunikationsfähigkeit
Production Data Engineer (all genders)
SKD SE —München
- Vollzeit
- ERP-Systeme
- SQL
- Produktion
Forward Deployed Engineer (AI / GenAI) – Real Estate & Enterprise Applications (m/w/d)
Investa Real Estate —München
- Vollzeit
- Informatik
- Englisch
- SharePoint
Direkt bewerben
Manufacturing Engineer – Work Measurement & Process Optimization (all genders)
SKD SE —München
- Vollzeit
- Bachelor
- Produktion
9 Tage
Senior Supplier Quality Engineer (all genders)
SKD SE —München
- Vollzeit
- ERP-Systeme
- Microsoft Office
- Master

Ich möchte aktuelle Job-E-Mails für Stellen als deployed engineer in pullach im isartal, by erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

deployed engineer jobs near pullach im isartal, by

Jobs als Manufacturing Engineer in München

Jobs als Supplier Quality Engineer in München

Jobs als Quality Engineer in München

Jobs als User Experience Designer in München

Jobs als Solutions Engineer in München

Jobs als System Engineer in München

Jobs als Production Engineer in München

Jobs als Ai Ml Engineer in München

Jobs als Software Test Engineer in München

Jobs als Senior Software Engineer in München

Jobs als Ingenieur in München

Jobs als Staff Engineer in München

Jobs als Principal Software Engineer in München

Jobs als Verification Engineer in München

Jobs als Manufacturing Technician in München

Jobs als Manufacturing Engineer in Frankfurt Am Main

Jobs als Manufacturing Engineer in Augsburg

Jobs als Manufacturing Engineer in Manching

Jobs als R&d Engineer in München

Jobs als Manufacturing Engineer in Dortmund

MLOps Engineer – Azure & AI/ML Platforms (m/f/d)

KI group GmbH
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

CI/CD
Azure
Datenbanken
Bachelor
Terraform
REST
GitHub
APIs
Künstliche Intelligenz
Python
Identitätsmanagement

Vollständige Stellenbeschreibung

Become our new MLOps Engineer (m/f/d)

At KI Performance, we move AI from experimentation to production. As a MLOps Engineer, you will design, build, and operate highly scalable, secure Azure-based AI platforms used in production environments. This role sits at the intersection of cloud infrastructure, DevOps, and AI delivery, with a strong focus on enabling iterative AI development, reliable model deployment, and platform scalability.

You will work closely with AI engineers, data teams, and product stakeholders to ensure that AI use cases can be developed, deployed, and operated efficiently at scale — with production-grade reliability, security, and observability.

Your responsibilities

Cloud Infrastructure & Platform Engineering

Design, implement, and operate scalable Azure infrastructure for AI and data-intensive platforms using Terraform
Build and maintain secure Azure networking architectures (VNETs, subnets, NSGs, Private Endpoints)
Implement access control and governance using Azure RBAC, Key Vault, and Azure Policies
Ensure infrastructure is production-ready with a focus on performance, reliability, and scalability

CI/CD & Release Engineering

Design and operate modern CI/CD pipelines using GitHub Actions
Enable fast, safe, and repeatable deployments for infrastructure, services, and AI models
Support iterative development with strong versioning, testing, and rollback strategies

MLOps & AI Platform Enablement

Operationalize AI use cases using MLflow (experiment tracking, model registry, deployment workflows)
Support the full AI lifecycle from experimentation to production deployment
Deploy and operate model inference services exposed via REST APIs (FastAPI preferred)
Collaborate closely with AI engineers to ensure models are production-ready

Observability & Reliability

Implement end-to-end observability using OpenTelemetry
Set up monitoring and logging using Azure Application Insights (or equivalent tooling)
Proactively improve system reliability, performance, and incident response

Engineering & Automation

Use Python for automation, AI integration, backend services, and tooling
Support platform self-service capabilities for engineering teams
Continuously improve infrastructure and operational maturity

Your profile

Hands-on experience building Azure infrastructure for scalable AI platforms using Terraform
Strong experience designing CI/CD pipelines with GitHub Actions
Proven experience with OpenTelemetry and monitoring using Azure Application Insights
Strong MLOps experience using MLflow (tracking, registry, deployment workflows)
Strong Python skills for AI development, automation, and backend integration
Experience exposing AI inference services via REST APIs (FastAPI preferred)
Deep understanding of Azure networking (VNETs, subnets, NSGs, Private Endpoints)
Strong knowledge of Azure security and governance (IAM/RBAC, Key Vault, Azure Policies)

Nice to have

Experience with Agentic AI platforms
Hands-on experience with Microsoft Foundry / Azure AI Foundry
Experience using LangGraph or other GenAI development frameworks
Knowledge of vector databases and retrieval systems (Azure AI Search preferred)
Experience with cost optimization strategies for Azure AI infrastructure

Why join us

Work with a highly skilled Engineering, Data & AI team
Flexible hybrid setup
Lots of ownership and freedom to shape solutions
Access to modern cloud, data & AI technologies
Personal development, training budget, certifications
A culture built on trust, autonomy, and collaboration

About KI Performance

We transform how companies work with data, preparing them for the future of artificial intelligence. With our expertise in data platforms and AI-powered solutions, we create measurable business value—always with a clear focus on strategy and impact.

Our projects range from global data platforms to cutting-edge Gen AI applications, directly contributing to the success of leading DAX-listed companies. By leveraging the latest technologies, we set new standards in digital transformation and collaborate closely with Microsoft, Databricks, and our KI Group ecosystem to develop sustainable and future-ready solutions.

Our culture is shaped by forward-thinking, curious, and open-minded professionals who actively shape the digital world. To maintain this dynamic environment, we place great value on diversity, innovation, and close teamwork. If you want to learn more about our culture and benefits, visit our careers page.

Ready to shape the future of data-driven business models with us?

Apply now - we look forward to hearing from you!

Jetzt bewerben

Erweiterte Suche

deployed engineer Jobs in pullach im isartal, by

MLOps Engineer – Azure & AI/ML Platforms (m/f/d)

Frontend / UX Engineer

Manufacturing Engineer – Automation & Process Development (all genders)

Senior AI Software Engineer (m/f/d)

Werkstattmitarbeiter - Prototyping & Additive Manufacturing Technician (all genders)

Lead AI Systems Engineer (All Genders)

AI Engineer

Principal Engineer for IT Automation & AI transformation (Remote)

Test Automation Engineer (m/f/d)

Senior AI Software Engineer (m/f/d)

Staff AI Agent Engineer – Moveworks | Customer Deployment

Test & Verification Engineer – Environmental (all genders)

Staff Frontend Engineer

Solutions & Deployment Engineer (m/f/d)

Manufacturing Engineering Manager (all genders)

Quality Engineer Production (All genders)

Production Data Engineer (all genders)

Forward Deployed Engineer (AI / GenAI) – Real Estate & Enterprise Applications (m/w/d)

Manufacturing Engineer – Work Measurement & Process Optimization (all genders)

Senior Supplier Quality Engineer (all genders)