Top Data Jobs in Singapore

Lead the lifecycle of data products from discovery to delivery, collaborating cross-functionally to enhance AI-driven tools and analytics.

Develop and maintain data pipelines, support data collection, build datasets for AI evaluation, and create dashboards for monitoring product metrics.

As a Data Engineer (Compliance), you will manage SQL scripts for compliance monitoring, handle data governance, and ensure regulatory compliance while collaborating with various stakeholders.

As a Senior Product Engineer, you will lead a team in advanced data analytics to improve yield and quality through machine learning and AI, develop algorithms, and enhance data infrastructure while collaborating with cross-functional teams.

Lead a team to enhance product yield and quality through advanced data analytics, machine learning, and AI. Develop algorithms and collaborate cross-functionally to drive improvements and innovation in HBM product engineering.

Lead the Service Management practice following ITIL v4 principles, ensuring performance management and continuous improvement across services while managing stakeholders and suppliers for successful service delivery.

Lead the design of AI infrastructure solutions using NVIDIA and HPE technologies for enterprise clients, focusing on hardware architecture, software integration, and cloud solutions.

Design and maintain scalable data platforms on AWS and Databricks, focusing on efficient data processing, analytics, and orchestration of pipelines.