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The Data Manager for Risk Engineering & AI will develop data-intensive solutions to enhance decision making in risk management, focusing on data acquisition, pipeline development, transformation, governance, and collaboration with AI/ML teams to implement production-level data processing solutions.
The Data Manager in Risk Engineering & AI focuses on developing data-intensive solutions for decision making within the risk management function. Responsibilities include data acquisition, pipeline development, transformation, modeling, API development, collaboration with AI/ML teams, and ensuring data quality and governance.
The Data Manager will develop data-driven solutions for risk management, focusing on data acquisition, pipeline development, transformation, modeling, and API creation. The role involves collaboration with AI/ML specialists to implement AI-based solutions and ensure data quality and governance while identifying opportunities for process improvement.
The role involves developing data-intensive AI solutions for Risk Management, including data acquisition, pipeline development, transformation, staging, and governance. The candidate will collaborate with leadership, maintain APIs, and ensure data quality for analytics and machine learning applications.
As a Data Manager in Risk Engineering & AI, you will develop data-intensive solutions that drive decision-making for risk management. Your duties include data acquisition, pipeline development, transformation, and API creation while collaborating with AI/ML teams to ensure data quality and implement best practices in data governance.
The Data Manager will develop data solutions for Risk by collaborating with leadership to drive data-driven decisions. Responsibilities include data pipeline development, transformation, modeling, storage, API development, collaboration with AI/ML teams, and implementing data governance practices.
The Staff Software Engineer will architect and implement cloud primitives using infrastructure-as-code on AWS, lead technical strategies, mentor junior engineers, work with cross-functional teams, and enhance cloud infrastructure's robustness and security.
The Staff Software Engineer for Cloud Primitives will design, develop, and deliver foundational cloud infrastructure on AWS using infrastructure-as-code. Responsibilities include mentoring junior engineers, driving technical strategy, and collaborating with cross-functional teams to improve developer productivity and ensure security in cloud systems.
This role involves designing and delivering cloud primitives on AWS, implementing infrastructure-as-code solutions, leading technical strategy, mentoring junior engineers, and collaborating with cross-functional teams. The engineer will focus on creating reliable and secure cloud infrastructure while staying current with emerging technologies.
The Principal Software Engineer will develop scalable data platforms, lead architectural sessions, drive advanced feature development, conduct code reviews, and evaluate emerging technologies while collaborating with cross-functional teams to enhance SoFi's data-driven decision-making.
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