Senior Software Engineer – AI Infrastructure

About this kind of role

What a Senior Software Engineer – AI Infrastructure usually does. The employer's own details are in the listing.

Typically does: Designs, develops, tests, and maintains software systems and infrastructure to support artificial intelligence and machine learning applications. This often includes building scalable data pipelines, optimizing model deployment, and ensuring the reliability of AI platforms. Responsibilities can also involve collaborating with data scientists and machine learning engineers to integrate AI models into production environments. A focus on performance, security, and efficient resource utilization 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 (Docker, Kubernetes) and DevOps practices are generally required.

Good fit for: Individuals with a strong background in software engineering and a passion for building robust and scalable systems for AI applications typically thrive in this role.