MLOps Engineer – Azure & AIML 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.

• 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

• 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

• 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

• 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

• Use Python for automation AI integration backend services and tooling

• Support platform self-service capabilities for engineering teams

• Continuously improve infrastructure and operational maturity

• 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)

• 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

• 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

At KI performance we help organizations use data software and artificial intelligence to solve complex business challenges and prepare for an AI-driven future.

Our work ranges from enterprise data platforms and cloud architectures to AI-enabled applications intelligent workflows and production-grade GenAI solutions. We work closely with leading enterprises and technology partners to build solutions that are technically robust operationally sustainable and connected to measurable business value.

Our culture is shaped by curious hands-on people who enjoy taking ownership learning quickly and building meaningful solutions together.

Different perspectives make better teams.
We welcome applications from everyone regardless of gender identity ethnic or social background religion or belief disability age or sexual orientation. What matters to us is what you bring to the team and what you want to build with us.