Top AI Jobs in Singapore

Design and develop cloud-native, reusable AI and data products for Singapore government projects. Prototype, implement, and validate ML algorithms (CV, NLP, recommender, synthetic AI), build microservices, deploy to cloud and edge (mobile/IoT), assess AI maturity, collaborate with research and industry partners, document and transfer technology, and support product lifecycle and operationalisation.

Design, develop, and implement algorithms addressing embodied AI safety (attack and defense). Collect and process data, run experiments and analyze results, assist with robot operation, debugging, system integration, and provide general lab support.

Lead modernization of actuarial reporting through automation, process redesign, enhanced analytics and AI. Manage PACS/FFP+ projects, define actuarial AI roadmap, deliver pilots and scaled solutions, and coordinate cross-functional stakeholders to improve reporting efficiency, controls, and actionable insights.

Lead transformation of actuarial processes through automation, analytics, and AI. Identify use cases, define requirements, support solutioning, testing and UAT. Manage actuarial data and build reusable analytics pipelines for persistency and claims, improving data quality, lineage and reporting. Support AI pilot delivery and scaling for actuarial reporting and MI.

This role focuses on driving enterprise data governance, including policies, training, AI governance, and collaboration with technology teams to implement data management practices.

As an AI Researcher, you will design and improve ML/LLM systems, develop AI features, conduct experiments, and enhance product performance through analytics and observations.

As a Solutions Architect, you'll lead AI research and application projects, mentor team members, and collaborate on strategic initiatives in AI technology.

The Solutions Architect will lead AI initiatives, mentor junior staff, develop strategic projects, and collaborate with universities and industries while promoting NVIDIA technologies.

Lead and grow HPE's HPC and AI sales organization: set quotas and strategy, manage sales teams and partners, drive revenue and market share, build C-level relationships, and develop sales talent and go-to-market execution.

The Director, AI Solutions Engineer leads AI integration in marketing, develops APIs and UIs, ensures compliance and security, and provides technical support for AI models.

The Director, AI Technologist leads the technical architecture for AI integration in marketing, overseeing AI-driven innovations and workflow optimizations across media and production.

Drive the expansion of software development and AI services by managing client relationships, building sales pipelines, and negotiating contracts.

Work with the CTO and leadership to design and implement AI productivity solutions; research and prototype emerging AI technologies; collaborate across teams and continents; translate AI theory into scalable business applications and communicate technical ideas to non-technical stakeholders.

Lead Enterprise AI initiatives by designing, developing, and deploying AI/GenAI solutions. Partner with data engineers, technologists and business stakeholders to prototype, integrate, validate and benchmark LLM and advanced-model applications, manage expectations, and translate analytic results into business outcomes.

Lead Machine Learning Researcher responsible for innovating AI/ML applications in cybersecurity, designing intelligent automation, evaluating models, and collaborating across teams to improve Acronis Cyber Protect products.

Customer-facing senior solutions engineer driving technical sales and adoption of Cloudera's Enterprise AI portfolio. Architect AI solutions, build training pipelines and large-scale experiments, demonstrate value to C-levels, consult with researchers, advocate customer feedback, and lead external evangelism. Own the technical sales lifecycle through post-sales success and renewals.

The Applied AI Engineer will onboard customers onto Mistral AI products, ensure effective integration, collaborate on advanced AI applications, and improve product capabilities based on user feedback.

The Senior Software Engineer will design and build an AI/ML platform, optimize performance for deep learning, and lead engineering initiatives.

Lead interdisciplinary research at the intersection of AI and education; design, implement, and evaluate AI-enabled pedagogies, curricula, and assessments; translate research into practice via school collaborations; foster international and industry partnerships; provide teaching, mentorship, and intellectual leadership within NIE/NTU.

The intern will develop web applications and dashboards, manage clinical trial data infrastructure, utilize AI tools, and enhance data visualization for decision-making in drug development.

The role involves training aspiring software engineers in AI and automation, focusing on ServiceNow integration with LLMs and coding best practices.

In this role, you will lead the development of generative AI solutions, ensure AI safety and trust, and facilitate workshops while collaborating with researchers and industry to advance AI adoption.

Lead AI engineering practice, guiding design and delivery of Generative AI solutions while mentoring a cross-functional team. Collaborate with stakeholders, establish best practices in AI engineering, and ensure high standards in system performance and reliability.

The Research Associate will assist with legal research in AI law, data protection, and cybersecurity law, compiling summaries and developing data governance practices.

The Research Associate will work on human-like traffic simulations, focusing on traffic behavior modeling and experimental validation using large datasets.