Lead Platform Engineer (Data & AI)

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About this kind of role

What a Lead Platform Engineer (Data & AI) usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains the infrastructure that supports data platforms and artificial intelligence applications. This includes developing and implementing scalable data pipelines, optimizing data storage solutions, and ensuring the reliability and performance of AI models in production. Responsibilities often involve collaborating with data scientists, machine learning engineers, and software developers to integrate AI capabilities into existing systems. A key focus is on automation and continuous improvement of the data and AI infrastructure.

Tools and skills: Proficiency in cloud platforms (like AWS, Azure, or Google Cloud), containerization technologies (Docker, Kubernetes), programming languages (Python, Java), database systems (SQL, NoSQL), and DevOps practices is generally expected.

Good fit for: Individuals with a strong background in software engineering and a passion for data and AI technologies often thrive in this role.