Top Machine Learning Jobs in Singapore

The Senior Business Intelligence Analyst will improve wafer performance through data analysis, machine learning, and global project management in Micron's Smart Manufacturing initiatives.

The CE PYE FA Engineer will provide fault isolation and failure analysis support, collaborate on defect resolution, and innovate analysis techniques.

As a Process Control System Engineer, you'll improve manufacturing processes, analyze data, and develop smart control solutions in semiconductor production.

The CE PYE FA Engineer conducts fault isolation and failure analysis, collaborates with engineering teams, and develops innovative techniques to improve defect resolution.

As a CE PYE FA Engineer, you will perform fault isolation and failure analysis, collaborate with teams, and develop new techniques to enhance operational efficiency.

The role involves electrical failure analysis, fault isolation, collaboration with product engineering, and process improvement strategies.

The Principal AI Engineer leads the design and operationalization of complex AI systems, architecting multi-agent solutions while ensuring safety, reliability, and performance. They mentor engineers and improve processes and products based on measurable outcomes.

The role focuses on designing, developing, and maintaining automation solutions for factory operations, improving productivity and system efficiency through collaboration with teams and data analysis.

The role involves managing and improving cycle time processes in semiconductor manufacturing by utilizing advanced analytics, facilitating training, and leading cross-functional projects to achieve operational excellence.

As a Data Science Engineer, you will analyze large datasets, develop predictive models, and work collaboratively to enhance data tools and processes.

The role involves fault isolation and failure analysis support, operating equipment for electrical defect localization, collaborating with teams for defect resolution, and leading a team of technicians.

Design, build and test prototypes using emerging technologies (AI/GenAI, autonomous agents, multimodal AI, quantum). Collaborate with product, design, and engineering teams to iterate, showcase proofs-of-concept, and drive adoption across the bank while researching frontier tech and enabling rapid experimentation.

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.

As a Research Engineer, you'll work on building and improving a scalable search engine, focusing on crawling, parsing, ML performance, and retrieval algorithms.

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.

Serve as Anthropic's founding Commercial Counsel in Singapore, advising APAC sales on complex technology transactions, negotiating agreements, ensuring regulatory compliance for AI deployment across APAC, and designing scalable contract frameworks and playbooks.

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.

The Research Engineer will conduct R&D on vector search systems and algorithms, design experimental frameworks, and collaborate on research publications.

The AI Ops Engineer will architect and optimize Splunk ITSI dashboards, investigate system issues, apply machine learning for anomaly detection, and collaborate on predictive analytics.

The intern will design safe processes, analyze behavior for anomalies, track fraudulent accounts, and maintain machine learning models to enhance account safety.

Develop and deploy machine learning and statistical models to solve complex manufacturing challenges. Perform EDA on high-dimensional data, create data visualizations, select and optimize models, and collaborate with lead data scientists and stakeholders to deliver scalable data products and analytics solutions.

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

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

Manage the ILS/training workpackage, ensuring logistical commitments are met. Design and develop training programs, provide technical documentation, and oversee stakeholder communications to meet project expectations and improve ILS/training competitiveness.