Senior Software Engineer - ML Infrastructure

About this kind of role

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

Typically does: Senior Software Engineers specializing in Machine Learning Infrastructure design, develop, and maintain the systems that support machine learning models. This includes building data pipelines, managing model deployment, and ensuring the scalability and reliability of machine learning platforms. They often collaborate with data scientists and machine learning engineers to optimize model performance and integrate machine learning into production systems. Troubleshooting and performance tuning of existing infrastructure are also common responsibilities.

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