Principal Software Platform Engineer | MLOps & AI Infrastructure

About this kind of role

What a Principal Software Platform Engineer | MLOps & AI Infrastructure usually does. The employer's own details are in the listing.

Typically does: This role focuses on designing, building, and maintaining the infrastructure that supports machine learning and artificial intelligence applications. Responsibilities include developing scalable and reliable platforms for data processing, model training, and deployment. They often work on automating ML workflows and ensuring the efficient use of resources. A key aspect is collaborating with data scientists and software engineers to integrate ML models into production systems.

Tools and skills: Proficiency in cloud platforms (like AWS, Azure, or Google Cloud), containerization technologies (Docker, Kubernetes), scripting languages (Python), and DevOps practices are generally expected.

Good fit for: Individuals with a strong background in software engineering and a passion for machine learning are often successful in this role.