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. * 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 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... #J-*****-Ljbffr

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