Software Engineer - AI/ML Platform Operations - Hybrid

About this kind of role

What a Software Engineer - AI/ML Platform Operations - Hybrid usually does. The employer's own details are in the listing.

Typically does: Software Engineers in this role focus on the operational aspects of artificial intelligence and machine learning platforms. This includes monitoring system health, automating deployment processes, and troubleshooting issues to ensure reliable performance. They often work to improve scalability and efficiency of the platform, collaborating with data scientists and machine learning engineers. Responsibilities can also involve developing tools and infrastructure to support the entire AI/ML lifecycle.

Tools and skills: Proficiency in programming languages like Python, experience with cloud platforms (such as AWS, Azure, or Google Cloud), and familiarity with DevOps tools like Docker, Kubernetes, and CI/CD pipelines are generally expected.

Good fit for: Individuals with a strong background in software engineering and a keen interest in the practical challenges of deploying and maintaining AI/ML systems often thrive in this role.