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 AgentOps 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 AgentOps 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 (SageMaker, Azure ML, MLflow, Kubeflow), exposure to Speech Analytics technologies, experience with cloud cost optimization/FinOps, experience building or operating AI agents, familiarity with LLM frameworks (LangChain, LlamaIndex, Semantic Kernel), experience with workflow and orchestration tools. Условия

No conditions specified

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📌 mlops engineer (Madrid)
🏢 Enfint
📍 Madrid