AI Inference Core - Senior Infrastructure Software Engineer

About this kind of role

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

Typically does: Designs, develops, and maintains the infrastructure supporting artificial intelligence inference services. This includes building scalable and reliable systems for deploying and managing machine learning models. Responsibilities often involve optimizing performance, ensuring high availability, and integrating with various AI frameworks. Troubleshooting and resolving infrastructure issues related to model serving is also a key aspect.

Tools and skills: Proficiency in cloud platforms (like AWS, Azure, or Google Cloud), containerization technologies (Docker, Kubernetes), programming languages (Python, Go, or Java), and experience with machine learning frameworks (TensorFlow, PyTorch) is generally expected.

Good fit for: Individuals with a strong background in software engineering and a passion for artificial intelligence and distributed systems often thrive in this role.