MLOps & Platform Engineer
Pubblicato il 12-08-2026 - TXT GROUP in Cologno Monzese
TXT Group, a company within the TXT Group, is seeking an MLOps & Platform Engineer to join its Industrial Business Unit. The ideal candidate will be responsible to design, build and operate the company’s application and AI platform, ensuring secure, scalable and highly available environments for both enterprise applications and AI/ML workloads. At least three years’ relevant experience in platform and infrastructure engineering is required, with production ownership of: Kubernetes, CI/CD pipelines and cloud infrastructure.
Main responsibilities
- Design and manage cloud-native platforms, Kubernetes clusters and containerised applications;
- Build and maintain CI/CD pipelines, and automate infrastructure provisioning and application deployment;
- Design, deploy and manage infrastructure for AI systems: LLM and embedding model serving, vector databases, application databases and caching systems;
- Define and maintain CI/CD pipelines for AI applications and data pipelines, with reproducible environments and secure release strategies;
- Manage versioning of models,
prompts and configurations, and support fine-tuning and retraining pipelines where required;
- Collaborate with software developers and AI engineers to streamline delivery and operations;
- Implement monitoring, logging, tracing and alerting for LLM applications and data pipelines, covering latency, error rate, cost per call, drift and production quality metrics;
- Ensure scalability, high availability and operational continuity of AI services, including knowledge base ingestion and update pipelines;
- Optimise inference and embedding costs through resource sizing, quantisation, batching and infrastructure-level caching;
- Ensure overall platform security, observability, performance and operational reliability;
- Manage secrets, API keys, access control and environment isolation for AI services;
- Support offline evaluation and A/B testing activities by providing the necessary infrastructure and telemetry dat