Top Machine Learning Jobs in Singapore

The Principal Architect will develop cloud-based architectures, guide teams, work with stakeholders, evaluate technologies, and foster diversity in the engineering culture.

Design and implement automated trading software by collaborating with Quantitative Researchers to provide tailored technological solutions.

The Senior Lead Software Engineer will guide teams, develop high-quality code, and influence product design while driving automation in a secure environment.

Design and optimize scalable machine learning platforms, data pipelines, and infrastructure for rapid ML model development, ensuring security and performance while mentoring team members.

The Senior Software Engineer will discuss and research features, write code and documentation, and engage with the community on platforms like GitHub and Discord. Strong Python skills and excellent communication are essential.

Lead digital transformation strategies to optimize operations, manage project delivery, and foster change management within the organization.

Lead a team in defect analysis technology development, focusing on semiconductor processes and innovation while mentoring and improving operations.

Lead advanced data analytics initiatives to improve yield and quality in semiconductor engineering. Responsibilities include algorithm development, data analysis, and cross-functional collaboration, while mentoring team members and promoting innovation.