Data & AI Engineer

The Member Company.; Milano; In loco; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

The Member Company in Milano is seeking a data engineer to design and build scalable data pipelines and AI-powered solutions, turning complex datasets into reliable products.

You will collaborate with data scientists and engineers to productionize ML models and ensure robust testing and monitoring.

This role focuses on secure, scalable, and production-ready data and AI workflows in an innovative environment.

Competenze

• Experience in designing data pipelines and data modeling.

Mansioni

• Design, build, and maintain scalable data pipelines for batch and real-time ingestion, transformation, and processing.
• Develop robust data models and integrate structured and unstructured data from multiple sources.
• Develop, integrate, and deploy machine learning and generative AI solutions aligned with business needs.
• Implement automated testing, versioning, deployment, monitoring, and performance optimisation across data and AI workflows.
• Collaborate with data scientists, software engineers, and business stakeholders to translate requirements into secure, reliable, and production‑ready solutions.

Descrizione del lavoro

About this vacancy

In this role, you will design and build scalable data pipelines and AI-powered solutions, transforming complex datasets into reliable products and actionable insights. If you are passionate about data engineering, machine learning, cloud technologies, and bringing AI use cases into production, this is your opportunity to make a tangible impact in an innovative environment.

• Design, build, and maintain scalable data pipelines for batch and real-time ingestion, transformation, and processing.
• Develop robust data models and integrate structured and unstructured data from multiple sources.
• Develop, integrate, and deploy machine learning and generative AI solutions aligned with business needs.
• Implement automated testing, versioning, deployment, monitoring, and performance optimisation across data and AI workflows.
• Collaborate with data scientists, software engineers, and business stakeholders to translate requirements into secure, reliable, and production‑ready solutions.