MLOps / LLMOps Engineer (AI Platform Engineer)

We are looking for an experienced MLOps/LLMOps Engineer to join a large-scale AI initiative in the insurance sector, focusing on building a production-grade AI platform with MLOps infrastructure and compliance requirements.

• Design and build scalable AI/MLOps/LLMOps platform in Azure environment
• Develop and maintain infrastructure for training and serving ML/GenAI models (Azure ML, Azure AI Foundry, AKS, Kubernetes)
• Build and automate CI/CD/CT pipelines for ML workflows
• Implement model versioning, testing, and deployment automation
• Manage Docker-based deployments and Kubernetes orchestration (hybrid cloud + on-prem integration)
• Implement monitoring, logging, alerting, and drift detection for AI models
• Ensure governance, auditability, lineage tracking, and AI Act compliance
• Optimize performance, scalability, and cost of AI infrastructure
• Ensure high availability and stability of production AI services
• Collaborate with Data Science and Infrastructure teams in Agile environment

• 3+ years of experience in DevOps, MLOps, or Software Engineering with ML in production
• Strong hands-on experience with Docker and Kubernetes (Helm, Ingress, cluster management)
• Strong experience with Microsoft Azure (Azure ML, AKS, Azure Container Registry)
• Experience building CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins)
• Strong Python and Bash/Shell scripting skills
• Experience with MLflow, Kubeflow or similar MLOps tools
• Experience with Infrastructure as Code (Terraform, Bicep or Ansible)
• Experience working with hybrid cloud / on-prem environments
• Understanding of monitoring and observability in production systems
• Ability to work across Data Science and IT Operations teams
• Services provided from Poland
• Azure certifications (AZ-400, AI-102) – nice to have
• Experience with LLMs and RAG architectures – nice to have
• Knowledge of Prometheus, Grafana, Azure Monitor – nice to have
• Understanding of hybrid networking (VNet, VPN, Private Endpoints) – nice to have
• Experience with vector databases and Azure AI Search – nice to have
• Knowledge of AI governance and compliance (AI Act) – nice to have