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

Das ist der Job

🚀 Become our new MLOps Engineer (m/f/d) At KI Performance , we move AI from experimentation to production.

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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.

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. 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 . 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.

Ready to shape the future of data-driven business models with us? Apply now - we look forward to hearing from you!🚀 All done! Your application has been successfully submitted! Other jobs You've already applied for this job We appreciate your interest in this position. Unfortunately, you have already applied for this job.