MLOps Engineer (m/f/d)

About

At KI Performance, we move AI from experimentation to production. 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. We 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 value diversity, innovation, and teamwork.

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