Top Machine Learning Jobs in Singapore

The role involves developing AI models, translating business problems into data science solutions, and integrating models into a marketing platform for influencer marketing.

The program trains recent graduates in pre-sales, focusing on understanding customer tech needs, creating solutions, and supporting sales efforts. Responsibilities include client communication and collaboration with technical resources.

Lead data science initiatives, including project scoping, model development, and team training. Drive impactful data-driven business decisions.

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.

Design and implement AIOps solutions, develop observability frameworks, apply machine learning for incident management, and enhance operational efficiency.

The Senior Researcher will develop advanced algorithms in 3D vision and generative understanding, explore frontiers in model technologies, and collaborate on project development and deployment.

The intern will apply data analytics and AI tools on big data analysis for power characterization reports and develop an auto power dashboard from raw data stored on Google Cloud.

The Senior Specialist, Product Manager, Claims Product Suite leads the product lifecycle for digital health solutions, focusing on claims management and integration. They define product vision, strategy, and roadmap, ensuring customer-centric design and collaboration across teams to enhance healthcare accessibility and effectiveness.

The Alliances Director will develop and manage strategic partnerships to enhance revenue growth and market reach, coordinating closely with internal teams and partners.

The Responsible AI Specialist will develop AI governance standards, conduct risk assessments, engage stakeholders, and promote ethical AI practices across UOB.

Lead operational excellence for AI applications in a banking environment by managing lifecycle, evaluating performance, and ensuring compliance. Collaborate with teams to enhance agent-driven solutions and optimize prompt tuning for generative models.

As a Research Scientist, you will lead innovative AI research, design experiments, publish findings, and collaborate on integration into products.

Lead the development of AI tools that optimize the software development lifecycle, mentor teams, and implement scalable ML systems.

As a Senior Data Scientist, you'll develop scalable machine learning algorithms focused on search and ranking, process datasets, deploy models, and run A/B tests.

The Regional Business Actuary will drive growth in GrabInsure by managing product pricing, data analysis, risk assessment, and partnerships while ensuring compliance and reporting.

As a Principal Machine Learning Engineer, you will lead a team, develop scalable machine learning solutions, and enhance ad serving efficiency for Grab's ads business.

As a Principal Engineer, you'll lead CMP process development, optimization, and sustainability, while collaborating with teams to enhance performance and drive innovation in semiconductor fabrication.

As a Data Scientist, you will translate business problems into data analytics solutions, manage the ML lifecycle, and improve driver incentives through statistical analysis.

The AI Product Owner will drive AI integration into the Razer Gold Digital Wallet, optimizing operations and enhancing user experience through innovative features and data-driven insights across teams.

The Head of Data Science will lead the data science team across Southeast Asia, focusing on credit risk model development, strategic collaboration, and shaping the machine learning roadmap.

The Data Science Intern analyzes large datasets, uses machine learning and analytics to solve gaming challenges, and collaborates with teams to drive business strategies.

As a Principal AI Engineer, you will lead the architecture and deployment of large-scale conversational chatbot systems, optimizing their performance for enterprise and consumer use cases.

The role involves maintaining equipment readiness, performing preventive maintenance, troubleshooting equipment, and supporting safety practices in an engineering environment.

The Applied AI Engineer will deploy AI solutions for clients, work on GenAI applications, manage stakeholder relations, and collaborate on product improvements.

Lead the development of advanced perception algorithms for autonomous vehicles, optimize real-time performance, mentor junior engineers, and integrate systems.