Platform Application Engineer, Cloud AI Infrastructure

About this kind of role

What a Platform Application Engineer, Cloud AI Infrastructure usually does. The employer's own details are in the listing.

Typically does: Designs, develops, tests, and maintains software applications that run on cloud platforms, often with a focus on artificial intelligence infrastructure. This includes building and optimizing pipelines for data processing, model training, and deployment. Responsibilities also involve monitoring system performance, troubleshooting issues, and ensuring scalability and reliability. Collaboration with data scientists, machine learning engineers, and other developers is common.

Tools and skills: Proficiency in programming languages like Python and Java, experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with containerization technologies like Docker and Kubernetes are generally required.

Good fit for: Individuals with a strong background in software engineering and a passion for cloud technologies and artificial intelligence tend to excel in this role.