Customer Engagement: Act as a key technical point of contact for customers, maintaining strong relationships, addressing project-related concerns, and ensuring customer satisfaction.
Resource Management: Coordinate with subcontractors and Site Supervisors to plan manpower, equipment, tools and materials. Monitor resource availability and productivity to support timely completion.
ML/AI Infrastructure: Design, provision, and optimize secure, scalable cloud-native AI infrastructure using Infrastructure as Code (IaC) and platform engineering best practices to support production ML/AI systems.
Provide support and guidance to data analysts and data scientists in accessing, understanding and utilizing the data assets effectively for analytics and modelling purposes, optimizing the execution of AI ML algorithm and workflow.
Architect and implement data archiving solutions — policies and pipelines that move historical trade logs, transaction records, and audit trails to cold storage without impacting production performance or compliance.
Architect data archiving solutions — designing policies and pipelines for moving historical trade logs, transaction records, and audit trails to cold storage without impacting production query performance or compliance requirements.