Top Machine Learning Jobs in Singapore

The role involves developing AI and ML solutions for semiconductor workflows, training Citizen Data Scientists, and integrating intelligent agents into engineering processes.

Own data quality and root-cause analysis for prediction issues: detect anomalies, trace sources, fix processes, automate QA/reporting with Python and SQL, maintain dashboards, and partner with Data Science, Engineering, Product, and Commercial teams to improve prediction performance and customer-facing analytics.

Provide advanced applications support, demos, evaluations, and onsite technical assistance for semiconductor metrology products. Collaborate with customers and internal teams to develop and optimize metrology solutions (thin film, OCD, optical modeling, ML), run N+1 demos/evals, support customer programs, document results, publish technical papers, and deliver training.

Assist R&D on simulation projects for additive manufacturing and design optimization. Perform FEA and CFD, validate simulations with experiments, collaborate with product teams, and present engineering solutions under senior supervision.

Lead digital transformation and continuous improvement of the Housing Management System and related platforms. Manage vendor relationships, stakeholder engagement, change management, data analysis, automation and AI initiatives (Generative and Agentic AI, RPA), and governance of housing digital content to improve operational efficiency and service delivery.

Lead design, development and deployment of enterprise AI/ML platforms and production models. Act as AI platform SME, build reusable libraries, data/ML pipelines, tools and UIs, collaborate with data scientists, IT and business stakeholders, and drive adoption of GenAI and best practices across the bank.

The Research Scientist will conduct innovative research in cloud computing and distributed systems, developing algorithms to optimize performance and efficiency through machine learning techniques.

The Research Associate will develop methods for visual reasoning and causal reasoning in a Vision-Language project, focusing on deep learning techniques.

The Research Associate will conduct research in cryptography and automated cryptanalysis, prepare project reports and presentations, and publish findings.

The Project Officer will conduct research and develop ML methodologies, collaborate with students, and aim for publications.

The Visiting Professor will teach, conduct research, supervise graduate students, and mentor junior faculty while maintaining high scholarly standards and international visibility.

The Research Scientist will develop AI algorithms for optimizing energy consumption in low altitude economies using UAVs, with a focus on literature review and testing solutions.

The Research Associate will develop and apply models for crop growth prediction, conduct experiments, and collaborate with partners for indoor farming strategies.

Conduct investigations on adhesive bonding and debonding of hybrid joints, develop instrumentation, and disseminate research outcomes. Requires experience in materials science and engineering.

The AI Engineer will lead AI projects, train apprentices, develop AI technologies, manage recruitment, and support industry activities.

Lead the technical strategy and project execution for CuspAI in Singapore, managing local teams and translating commercial needs into technical solutions. Drive growth and partnerships while ensuring alignment with global strategies.

This role involves leading the development of AI systems to replace lab toxicity experiments, focusing on end-to-end ML architecture, research on chemistry-biology correlations, and building innovative models. Candidates should have strong ML skills, engineering abilities in Pytorch and Python, and a passion for both science and technology.

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

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.

Provide advanced applications support, demos, and onsite technical assistance for semiconductor metrology products; perform modeling, data analysis, solution optimization, documentation, training, and collaborate with customers and internal teams to ensure successful customer outcomes.

Lead technical design, development, and deployment of data platforms, analytics, and AI solutions. Set architecture, standards, and governance; drive MLOps/DataOps practices, model governance, and integration (including robotics). Provide hands-on delivery, technical direction, and mentorship to ensure scalable, secure, and reusable AI capabilities.

The role involves analyzing biological mass spectrometry data, developing software tools, and scaling workflows for AI and human consumption in drug safety assessment.

Owns end-to-end machine learning systems across data, training, evaluation, inference, deployment, and monitoring. Builds large-model training and fine-tuning pipelines, evaluation frameworks, high-performance GPU inference systems, and reliable production infrastructure. Partners with research and application engineering to convert model capabilities into measurable product improvements. Provides hands-on technical leadership, makes pragmatic trade-offs, and ensures ML systems are scalable, efficient, safe, reliable, and production-ready.

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

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.