MLOps Platform Engineer - AI Reliability & Scale
Role details
Job location
Tech stack
Job description
Verisure in Galicia is seeking an MLOps / AIOps Engineer to design and manage our AIOps platform, ensuring operational efficiency and reliability of AI products. This role emphasizes platform engineering, infrastructure management, and automation using AWS and Azure technologies., * Design, maintain, and evolve the AIOps platform.
- Build and operate ML and LLM pipelines with reliability and observability.
- Implement LLMOps practices including evaluation and observability.
- Ensure continuous operation of AI products.
- Manage deployments in cloud environments.
- Collaborate with Data Scientists and Data Engineers.
- Contribute to internal standards and practices.
Conocimientos
MLOps experience LLMOps knowledge AWS experience Azure knowledge Docker/Kubernetes knowledge CI/CD experience Observability tools familiarity Infrastructure as code Python experience ML lifecycle understanding
Herramientas
Terraform GitHub Actions Prometheus MLflow SageMaker Descripción del empleo
Requirements
The ideal candidate should possess substantial experience in MLOps and solid knowledge of LLMOps, alongside a collaborative mindset to work effectively with our multidisciplinary Data & AI team., * 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 to work in an international environment., The ideal candidate should possess substantial experience in MLOps and solid knowledge of LLMOps, alongside a collaborative mindset to work effectively with our multidisciplinary Data & AI team. Consigue la evaluación confidencial y gratuita de tu currículum