Описание Verisure is a company operating in the manufacturing industry. Задачи * Design, maintain, and evolve the AIOps platform supporting traditional machine learning models, LLM-based solutions, and speech analytics use cases; * Build and operate ML and LLM pipelines with a focus on reliability, automation, observability, model quality, performance monitoring, and cloud cost optimization; * Implement LLMOps and Agent

Ops practices including LLM evaluation, prompt management, traceability, and agent orchestration; * Ensure continuous operation of AI products through alerts, dashboards, SLOs/SLIs, and scalability strategies; * Manage deployments in cloud environments and container platforms; * Collaborate with Data Scientists and Data Engineers to productionize AI solutions; * Contribute to internal standards, automation, and best practices across the AI and data ecosystem. Требования * Hands-on experience in MLOps, AIOps,



or operating ML systems in production; * Solid understanding of LLMOps and Agent

Ops concepts; * Experience working with AWS and/or Azure in production environments; * Practical knowledge of containers and Kubernetes; * Experience with CI/CD pipelines; * Familiarity with observability and monitoring concepts; * Experience managing infrastructure as code; * Python experience and familiarity with the ML ecosystem; * Good understanding of the ML/LLM lifecycle; * Fluent English; * Nice to have: Experience with ML/AI platforms (Sage

Maker, Azure ML, MLflow, Kubeflow), exposure to Speech Analytics technologies, experience with cloud cost optimization/Fin

Ops, experience building or operating AI agents, familiarity with LLM frameworks (Lang

Chain, Llama

Index, Semantic Kernel), experience with workflow and orchestration tools. Условия No conditions specified #J-18808-Ljbffr

📌 mlops engineer (España)
🏢 Enfint
📍 España