Ai Architect
As an AI Architect, you will play a crucial role in shaping and executing Prysmian AI strategy by designing, implementing, and optimizing cloud-native AI solutions. You will be involved in the design of complete ML solutions, selecting the appropriate tools and platforms.
You will work at the intersection of AI and cloud architecture, emphasizing advanced MLE practices, focusing on architecting robust, scalable, and secure AI use cases. You will work closely with cross-functional teams to translate complex business requirements into state-of-the-art AI solutions, ensuring seamless integration with Prysmian's technical footprint. There will be challenges to win that range from AI systems conceptualization and production, working on the design of network and integration. You will need to ensure that the solutions are scalable and that all AI solutions adhere to industry standards and compliance requirements for security, data governance, and performance. About you Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
4+ years of experience in AI architecture, cloud engineering, or a related role with a strong focus on Machine Learning Engineering.
Proven expertise in designing and implementing cloud-native architectures on major platforms (AWS and Azure).
Strong understanding of MLE best practices, including model deployment, monitoring, and lifecycle management.
Proficiency in infrastructure-as-code (e. g. , Terraform, CloudFormation) and container orchestration tools (e. g. , Kubernetes).
Hands-on experience with basic networking concepts and resource management within cloud environments.
Familiarity with data architectures, security, and compliance standards relevant to AI solutions.
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