Systems Software Engineer - Machine Learning Ops

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About this kind of role

What a Systems Software Engineer - Machine Learning Ops usually does. The employer's own details are in the listing.

Typically does: A Systems Software Engineer in Machine Learning Operations focuses on building and maintaining the infrastructure that supports machine learning models throughout their lifecycle. This includes developing tools and pipelines for data ingestion, model training, deployment, monitoring, and retraining. They work to automate and optimize these processes, ensuring reliability, scalability, and efficiency. Collaboration with machine learning engineers and data scientists is a key aspect of the role.

Tools and skills: Proficiency in programming languages like Python and Java, experience with cloud platforms (e.g., AWS, Azure, GCP), containerization technologies (e.g., Docker, Kubernetes), and DevOps practices are generally required.

Good fit for: Individuals with a strong software engineering background and an interest in machine learning are typically successful in this role.