Senior Software Engineer, ML Infra - Asset Safety

About this kind of role

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

Typically does: Senior Software Engineers in Machine Learning Infrastructure focus on building and maintaining the systems that support machine learning models. This includes developing data pipelines, designing scalable infrastructure, and ensuring the reliability and performance of machine learning deployments. They often collaborate with data scientists and machine learning engineers to optimize model training and inference processes. Troubleshooting and improving existing infrastructure is also a key responsibility.

Tools and skills: Proficiency in programming languages like Python and Java, experience with cloud platforms such as AWS or Google Cloud, and familiarity with machine learning frameworks and databases are commonly required.

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