MLOps Engineer

IT Factory is a dynamic company with experience in developing, deploying, and supporting IT solutions for a major Polish company in the insurance and financial industry.

• Minimum 3 years of experience in DevOps, MLOps, or software engineering with production ML model experience
• Advanced knowledge of Docker and Kubernetes (cluster management, Helm charts, Ingress)
• Deep knowledge of Azure platform (especially Azure ML, AKS, Azure Container Registry) or GCP/AWS with readiness to quickly transition to Azure
• Experience building CI/CD pipelines with Azure DevOps, GitHub Actions, or Jenkins tailored for ML workflows
• Good knowledge of Python and Bash/Shell scripting
• Practical experience with MLflow, Kubeflow, or native cloud model lifecycle management tools
• Familiarity with infrastructure as code tools like Terraform, Bicep, or Ansible
• Technical higher education in computer science, telecommunications, or related fields
• Automation-first mindset to reduce manual work via scripts and tools
• Ability to work at the intersection of Data Science and IT Operations teams
• Proactive in resolving performance issues and production incidents
• Providing services from the territory of Poland

Nice to have:

• Azure certifications: DevOps Engineer Expert (AZ-400) or Azure AI Engineer (AI-102)
• Experience deploying LLM models and RAG architectures
• Familiarity with monitoring tools like Prometheus, Grafana, Azure Monitor
• Understanding hybrid cloud networking (VPN, VNet, Private Endpoints)
• Knowledge of vector databases (e.g. in context of Azure AI Search)

• Create and maintain AI platform infrastructure in the insurance domain
• Design and build scalable MLOps/LLMOps infrastructure including Azure Machine Learning, Azure AI Foundry, and AKS
• Implement CI/CD/CT pipelines for ML solutions with automated testing, data and model versioning using DVC and MLflow
• Prepare Docker images for AI models and manage deployments on Kubernetes clusters in hybrid architecture
• Deploy model monitoring for Data Drift/Model Drift, logging, and alerting to ensure high availability
• Provide technical support for AI Act compliance including audit tools, data lineage, access management, and encryption
• Optimize costs and performance by managing Azure resources and scaling infrastructure based on workload

Provision of services from the territory of Poland is required.