• Develop design specifications, installation instructions and other system related information. • Verify stability, interoperability, portability, security and scalability of java system architecture. • Select appropriate design solutions and ensure compatibility of system components working with software engineers. • Evaluate current or emerging technologies. • Provide technical guidance and support development of systems. • Identify system data, hardware and software components required to meet user needs. • Provide implementation guidelines for system to installation teams. • Convey architectural solutions to all levels of stakeholders. • Ensure compliance with established architecture, design patterns, policies, standards and best practices. • Head system architecture, design, cross business area projects and development teams. • Identify, review and present input on project activities and plans. • Design, develop, implement and maintain series of programs, subsystem, revision and enhancement of current system.

• Contribute to the design and evolution of reliable systems and shared capabilities that support the full ML lifecycle—from experimentation to production • Take the lead in developing platform tools, shared services, and infrastructure that power Machine Learning at scale • Work within a dynamic team of engineers in the ML Platform Domain, providing technical guidance, mentorship, and support • Collaborate closely with product managers and stakeholders, including data scientists and ML engineers, to support the full ML lifecycle, from experimentation and training to deployment and monitoring • Continuously learn and stay up to date with emerging technologies, tools, and industry trends to ensure Prima’s ML platform remains robust and future-proof

• Contribute to the design and evolution of reliable systems and shared capabilities that support the full ML lifecycle—from experimentation to production • Take the lead in developing platform tools, shared services, and infrastructure that power Machine Learning at scale • Work within a dynamic team of engineers in the ML Platform Domain, providing technical guidance, mentorship, and support • Collaborate closely with product managers and stakeholders, including data scientists and ML engineers, to support the full ML lifecycle, from experimentation and training to deployment and monitoring • Continuously learn and stay up to date with emerging technologies, tools, and industry trends to ensure Prima’s ML platform remains robust and future-proof

• Contribute to the design and evolution of reliable systems and shared capabilities that support the full ML lifecycle—from experimentation to production • Take the lead in developing platform tools, shared services, and infrastructure that power Machine Learning at scale • Work within a dynamic team of engineers in the ML Platform Domain, providing technical guidance, mentorship, and support • Collaborate closely with product managers and stakeholders, including data scientists and ML engineers, to support the full ML lifecycle, from experimentation and training to deployment and monitoring • Continuously learn and stay up to date with emerging technologies, tools, and industry trends to ensure Prima’s ML platform remains robust and future-proof