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MLOps Engineer – Azure & AI​/ML Platforms; m​/f​/d

in 80331, München, Bayern, Deutschland
Unternehmen: Ki Performance
Vollzeit position
Verfasst am 2026-01-16
Berufliche Spezialisierung:
  • IT/Informationstechnik
    Künstliche Intelligenz Ingenieur, Maschinelles Lernen
Gehalts-/Lohnspanne oder Branchenbenchmark: 80000 - 100000 EUR pro Jahr EUR 80000.00 100000.00 YEAR
Stellenbeschreibung
Stellenbezeichnung: MLOps Engineer – Azure & AI/ML Platforms (m/f/d)

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

At KI Performance
, we move AI from experimentation to production. As an MLOps Engineer – Azure & AI/ML Platforms
, you will be responsible for deploying, operating, and scaling AI/ML systems in production
, including LLM-based solutions
, within enterprise environments.

This role extends classic Dev Ops with strong AI, data, and model lifecycle ownership
. We are looking for engineers who can deliver immediate impact and operate AI systems reliably from day one.

Your responsibilities
  • 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 covering training, deployment, versioning, and rollback
  • Implement model monitoring, logging, performance tracking, and lifecycle management
  • Integrate AI systems with Azure ML, Databricks, and secure permission/group management
  • Collaborate closely with data engineers, AI engineers, and product teams
  • Ensure reliability, scalability, and compliance of AI workloads in production
Your profile
  • Strong experience in Dev Ops 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
Nice to have
  • 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
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!🚀

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