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

Descriptionð 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 EngineeringDesign, implement, and operate scalable Azure infrastructure for AI and data-intensive platforms using TerraformBuild and maintain secure Azure networking architectures (VNETs, subnets, NSGs, Private Endpoints)Implement access control and governance using Azure RBAC, Key Vault, and Azure PoliciesEnsure infrastructure is production-ready with a focus on performance, reliability, and scalabilityCI/CD & Release EngineeringDesign and operate modern CI/CD pipelines using GitHub ActionsEnable fast, safe, and repeatable deployments for infrastructure, services, and AI modelsSupport iterative development with strong versioning, testing, and rollback strategiesMLOps & AI Platform EnablementOperationalize AI use cases using MLflow (experiment tracking, model registry, deployment workflows)Support the full AI lifecycle from experimentation to production
  deploymentDeploy and operate model inference services exposed via REST APIs (FastAPI preferred)Collaborate closely with AI engineers to ensure models are production-readyObservability & ReliabilityImplement end-to-end observability using OpenTelemetrySet up monitoring and logging using Azure Application Insights (or equivalent tooling)Proactively improve system reliability, performance, and incident responseEngineering & AutomationUse Python for automation, AI integration, backend services, and toolingSupport platform self-service capabilities for engineering teamsContinuously improve infrastructure and operational maturityRequirementsYour profileHands-on experience building Azure infrastructure for scalable AI platforms using TerraformStrong experience designing CI/CD pipelines with GitHub ActionsProven experience with OpenTelemetry and monitoring using Azure Application InsightsStrong
  MLOps experience using MLflow (tracking, registry, deployment workflows)Strong Python skills for AI development, automation, and backend integrationExperience 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 haveExperience with Agentic AI platformsHands-on experience with Microsoft Foundry / Azure AI FoundryExperience using LangGraph or other GenAI development frameworksKnowledge of vector databases and retrieval systems (Azure AI Search preferred)Experience with cost optimization strategies for Azure AI infrastructureWhy join usWork with a highly skilled Engineering, Data & AI team
• Flexible hybrid setupLots of ownership and freedom to shape solutionsAccess to modern cloud, data & AI technologiesPersonal development, training budget, certificationsA culture built on trust, autonomy, and collaborationAbout KI PerformanceWe 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!ðCategoryKI performance