Top Machine Learning Jobs in Singapore

As a Lead Data Architect, you will develop high-quality data architecture solutions, provide guidance on technologies, and influence design and operations across software applications.

Develop and implement automated trading systems, collaborating with quantitative researchers to deliver custom software solutions, utilizing advanced statistical techniques.

Lead innovative marketing strategies and initiatives combining technology and creativity to drive client business growth and optimize marketing performance. Oversee client relationships and project delivery.

The Senior Technical Consultant role involves consulting with customers on implementing ServiceNow solutions, driving adoption of AI technologies, leading design and build activities, and providing technical advice while ensuring customer satisfaction.

The Software Engineer will develop software solutions, improve operational stability, lead vendor evaluations, and drive the use of new technologies, focusing on Python and agile methodologies.

The Lead AI Solutions Consultant drives revenue by promoting BrazeAI tools, conducts technical discussions, delivers demos, and educates stakeholders on AI principles.

Lead strategy and execution for growth systems to enhance revenue at Airwallex, managing teams and optimizing B2B revenue tools.

As a Software Engineer Intern at Citadel, you will develop technological tools for trading strategies, research platforms, and work in teams on finance technology.

As a Software Engineer Intern, you will create tools, develop research platforms, and collaborate with teams to innovate technology in finance.

As a Software Engineer II, you'll design, develop, and troubleshoot software solutions while gaining experience in secure and scalable application development.

The Senior Sales Engineer supports technical evaluations, provides product demonstrations, assists with POC setups, and ensures customer satisfaction throughout the sales cycle.

As a Software Engineer II, you'll design, develop, and troubleshoot software solutions within an agile team, while enhancing your software engineering skills.

As a Senior Data Scientist, you'll develop predictive models, apply machine learning techniques, and collaborate with marketing to enhance strategies and drive business growth.

Lead Software Engineer position requires developing and delivering technology solutions, leading software projects, and improving software operational stability. Involves working with various teams to enhance technology products and practices.

Lead AI risk management and compliance for the Chief Analytics Office in APAC, developing frameworks and managing operational risks. Engage with senior leaders to shape processes and collaborate on control assessments.

The senior software engineer will design and develop payment products, enhance services with new technologies, and mentor team members.

The candidate will manage and enhance digital identity and financial crime products, develop go-to-market strategies, analyze market trends, and interact with stakeholders to ensure product adoption and success.

As a Software Engineer II, you will design, develop, and troubleshoot software solutions, while collaborating with an agile team to enhance technology products.

The Software Engineer III role involves executing software solutions, coding, troubleshooting, and applying SDLC methodologies in an agile team environment.

This role focuses on driving strategic change and operational efficiency in Payments across APAC markets, managing transformative projects and stakeholder relationships to enhance client experience and compliance.

Develop and refine core infrastructure for machine learning models, collaborate with product teams, and lead projects from design to launch.

As an LLM Engineer at Sonar, you'll conduct research in AI/ML, develop algorithms, and enhance software tools to improve code quality and developer efficiency.

The ML Platform Engineer will develop and maintain the MLOps platform for AI, supporting Data Science and ML teams in model deployment and monitoring.

The Senior Machine Learning System Engineer will develop crucial AI infrastructure, collaborate on ML solutions, and mentor junior team members. Responsibilities include overseeing ML systems lifecycle and implementing MLOps pipelines.

Develop and fine-tune advanced GenAI models, build prototypes for AI-powered assistants, and collaborate on applied research innovations.