Top Machine Learning Jobs in Singapore

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 Director of Credit Risk, lead innovative credit strategies, manage the credit lifecycle, optimize loan performance, and mentor teams while leveraging advanced analytics.

As a Software Engineer II in Client Risk, design and build AI-driven risk monitoring systems, automate processes, and collaborate with cross-functional teams to enhance risk management.

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.

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

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

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

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

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.

As a Software Engineer, you'll develop high-performance technology tools for trading strategies, and work with high data research platforms in a collaborative team.

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

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.

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

The Lead Cybersecurity Architect develops solutions for cybersecurity, leads technical teams, conducts security reviews, and drives strategy for enterprise-level security.

Design and build scalable ML systems for GenAI modeling and innovative research. Collaborate with teams to optimize production pipelines and implement advanced machine learning models.

The ML System Engineer will develop and refine infrastructure for AI and ML, collaborate with teams, solve challenges in ML solutions, and lead projects from design to launch.

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.

Lead GenAI modeling and innovation at Atlassian. Design novel approaches for LLMs, prototype new ideas, provide technical leadership, and shape innovation strategy in a distributed-first environment.

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

Lead a new GenAI Modeling & Innovation team, driving R&D in large language models and innovative AI solutions while fostering collaboration and technical excellence.

The Head of AI/ML Solutions Enablement manages AI capabilities in APAC, translating business needs into technical specifications, driving adoption, and ensuring measurable business value while promoting AI literacy across teams.

The Head of AI/ML Capabilities leads AI and machine learning strategies, overseeing development, deployment, and performance of AI/ML solutions to enhance business outcomes. This role involves managing a high-performing team, collaborating across departments, and advocating for innovative data-driven solutions while ensuring compliance and ethical guidelines are met.

The Developer Relations Manager for Quantum Computing will lead partnerships, drive SDK adoption, engage developers, and evangelize NVIDIA's quantum computing platform.

The AWS Solutions Specialist will drive AWS-centric opportunities, support sales teams, and ensure seamless handover to delivery teams while building relationships with channel partners and vendors.