MLOps Engineer – Azure & AI/ML Platforms (all genders)

🚀 Become our new MLOps Engineer (all genders)

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 performa