Responsibilities
Design, build, and optimize scalable data services and automation solutions that support AI and machine learning applications across cloud and on-premises environments. Establish software engineering standards and collaborate with infrastructure engineers and machine learning researchers to ensure reliable, high-performing data applications.
Requirements
Requires strong experience designing distributed systems and data-service architectures, along with proven software engineering practices and hands-on experience deploying scalable applications. Candidates should be proficient in Python, SQL, and Spark, and have experience with containers, cloud and on-premises environments, databases, and system observability.
