Senior Machine Learning Platform Engineer — Model Hosting & MLOps

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About this kind of role

What a Senior Machine Learning Platform Engineer — Model Hosting & MLOps usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains the infrastructure and tools that support machine learning models in production. This includes developing scalable model hosting solutions, automating machine learning workflows (MLOps), and ensuring model reliability and performance. Responsibilities often involve collaborating with data scientists and machine learning engineers to streamline the model deployment lifecycle. Focus is on enabling efficient and reproducible machine learning operations at scale.

Tools and skills: Proficiency in cloud platforms (e.g., AWS, Azure, GCP), containerization technologies (e.g., Docker, Kubernetes), programming languages like Python, and experience with MLOps tools and frameworks is generally required.

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