Software Engineer, Machine Learning Infrastructure - USDS

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, Machine Learning Infrastructure - USDS usually does. The employer's own details are in the listing.

Typically does: Software Engineers specializing in Machine Learning Infrastructure build and maintain the systems that support machine learning models. This includes designing, developing, and deploying scalable and reliable infrastructure for training, evaluating, and serving machine learning models. They often work on data pipelines, model deployment frameworks, and monitoring tools to ensure efficient and effective machine learning workflows. They collaborate with machine learning scientists and other engineers to integrate machine learning into applications.

Tools and skills: Proficiency in programming languages like Python, experience with cloud platforms (such as AWS, Google Cloud, or Azure), knowledge of machine learning frameworks (TensorFlow, PyTorch), and familiarity with DevOps practices 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.