Senior Data Engineer - AI Infrastructure Integration, High Performance Compute

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About this kind of role

What a Senior Data Engineer - AI Infrastructure Integration, High Performance Compute usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains data pipelines to support artificial intelligence and machine learning initiatives, often within high-performance computing environments. This role focuses on optimizing data flow, ensuring data quality, and enabling efficient access to large datasets for AI model training and deployment. Responsibilities include collaborating with data scientists and AI engineers to understand data needs and translating those needs into robust, scalable data solutions. They also monitor and troubleshoot data infrastructure to ensure reliability and performance.

Tools and skills: Proficiency in programming languages like Python and Scala, experience with big data technologies such as Spark and Hadoop, and familiarity with cloud platforms (AWS, Azure, GCP) and database systems (SQL, NoSQL) are generally required.

Good fit for: Individuals with a strong analytical background and a passion for building scalable data infrastructure to support advanced AI applications often thrive in this role.