Sr. Data & AI Platform Engineer

About this kind of role

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

Typically does: Designs, builds, and maintains data and artificial intelligence platforms and infrastructure. This includes developing 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 applications. They also monitor platform health, troubleshoot issues, and implement security best practices.

Tools and skills: Proficiency in cloud platforms (like AWS, Azure, or Google Cloud), programming languages such as Python or Java, database technologies (SQL and NoSQL), and experience with machine learning frameworks (TensorFlow, PyTorch) is generally required.

Good fit for: Individuals with a strong background in software engineering and a passion for data and artificial intelligence are typically successful in this role.