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 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
Requirements
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
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.