In this role you will design, build and operate TXT Group's AI and application platform, ensuring secure, scalable environments for enterprise apps and AI/ML workloads. You will own cloud-native platforms, Kubernetes clusters, CI/CD pipelines and AI infrastructure, collaborating with software and AI engineers to deliver reliable, observable services. You’ll optimize costs, security and performance while enabling rapid experimentation and production readiness. This is a hands-on, cross-functional role at the core of the company’s AI initiatives.

Per essere preso/a in considerazione per un colloquio, la preghiamo di assicurarsi che la sua candidatura sia pienamente in linea con le specifiche del lavoro riportate di seguito.

- Career opportunities in a fast-growing, international environment
- Continuous training on technical topics
- Health insurance
- Welfare services
- Design and manage cloud-native platforms, Kubernetes clusters and containerised applications
- Build and maintain CI/CD pipelines and automate infrastructure provisioning and deployment
- Design, deploy and manage infrastructure for AI systems including LLMs, embeddings, vector databases and caching
- Define CI/CD pipelines for AI apps and data pipelines with reproducible environments and secure release strategies
- Manage versioning of models, prompts and configurations; support fine-tuning and retraining pipelines
- Collaborate with software developers and AI engineers to streamline delivery and operations
- Implement monitoring, logging, tracing and alerting for LLM applications and data pipelines
- Ensure scalability,



high availability and operational continuity of AI services
- Optimize inference and embedding costs via sizing, quantisation, batching and caching
- Manage secrets, API keys, access control and environment isolation for AI services
- Support offline evaluation and A/B testing by providing infrastructure and telemetry data
- At least 3 years' experience in platform and infrastructure engineering with production ownership of Kubernetes, CI/CD and cloud infra
- Solid containerisation and orchestration skills (Docker, Kubernetes, Helm, Docker Compose)
- Proficiency with Git, GitLab CI/CD or GitHub Actions, GitOps, container registries and release management; automation in Python and Bash
- Infrastructure as Code experience (Terraform, Ansible) on Linux
- Networking and security fundamentals; reverse proxies and ingress xlwpduy controllers (Nginx, Traefik); TLS/SSL; IAM and secrets management
- Observability stacks (Prometheus, Grafana, Loki, OpenTelemetry, OpenSearch or ELK) in production ML/LLM environments
- AI/MLOps tooling (MLflow, Weights & Banses, model registries; model serving frameworks such as vLLM, Ollama, Triton, SageMaker or Vertex AI)
- Experience with vector databases and embedding/RAG pipelines; PostgreSQL, SQL Server and Redis in production
- Cloud experience with at least one major provider (Azure, AWS, GCP) for ML/AI workloads
- Familiarity with Num2: HashiCorp Nomad is a PLUS

In this role you will design, build and operate TXT Group's AI and application platform, ensuring secure, scalable environments for enterpri…

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📌 MLOps & Platform Engineer (Milano)
🏢 Experteer Italy
📍 Milano