Software Engineer, ML Infrastructure Platform

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

About this kind of role

What a Software Engineer, ML Infrastructure Platform usually does. The employer's own details are in the listing.

Typically does: Software Engineers specializing in Machine Learning Infrastructure Platforms build and maintain the systems that support machine learning workflows. This includes developing tools for data ingestion, feature engineering, model training, and model deployment. They focus on scalability, reliability, and efficiency of the machine learning lifecycle, often working closely with data scientists and machine learning engineers. They may also be involved in automating processes and improving the overall infrastructure.

Tools and skills: Proficiency in Python, cloud platforms like AWS or Google Cloud, containerization technologies like Docker and Kubernetes, and experience with databases and data pipelines are commonly required.

Good fit for: Individuals with a strong foundation in software engineering and a passion for machine learning are often well-suited for this role.