Top Machine Learning Jobs in Singapore

The Research Scientist will focus on developing large-scale language models, reinforcement learning techniques, and data engineering for AI systems, aiming for impactful research outcomes.

The role involves supporting equipment readiness, performing maintenance, troubleshooting equipment, and improving manufacturing productivity while coaching Associate Engineers.

The Senior Data Scientist will identify fraud patterns, develop machine learning models, collaborate with technical teams, and provide analytical insights to mitigate risks in crypto transactions.

Develop AI systems for 3D and video generation, conduct research in computer vision and graphics, collaborate with teams, and apply innovative AI techniques.

Lead a team in defect analysis technology development, focusing on identifying issues and collaborating across teams to enhance inspection processes.

As a Product Engineer in Advance Data Analytics, you will lead initiatives to enhance yield and quality using data analysis, machine learning, and AI. Responsibilities include algorithm development, data infrastructure enhancement, and collaboration with cross-functional teams.

The role involves researching and optimizing multimodal generative models, improving user experience, and addressing algorithm deployment challenges in real business scenarios.

The Machine Learning Researcher will design and deploy deep learning models for trading systems, analyze data, and optimize model performance.

Drive localization and delivery of risk control and anti-fraud products for global clients, focusing on solution design and technical engagement.

The Product Manager will lead product development, define vision and roadmap, manage engineering activities, and collaborate with various stakeholders.

As a Senior Business Intelligence Analyst, you will drive Smart Manufacturing solutions through AI/ML, gather data, and improve output performance, leading projects globally.

The Principal Engineer leads a team in defect detection, process improvement, and technology transfer while mentoring and managing projects in Technology Development.

The AI Machine Learning Principal Engineer will develop scalable machine learning models and collaborate with stakeholders to ensure product compliance with global regulations.

The Private Cloud AI Sales Specialist will drive AI solution sales, manage customer relationships, and lead commercial strategy for HPE's AI offerings.

Lead a team to innovate digital engagement strategies, addressing business pain points, monetizing platform capabilities, and fostering partnerships for growth.

The Analytics Senior Product Owner oversees product vision, collaborates with stakeholders, manages the product backlog, and drives analytics solutions for business challenges.

As a Junior Data Scientist, you'll assist the Data Science team in developing analytics solutions, deploying data science projects, and collaborating with stakeholders. Responsibilities include building data pipelines, conducting data analysis, and monitoring model performance.

We are seeking a Director/VP of Sales for the USA market to develop sales strategies, lead a team, drive revenue, and build customer relationships in the cybersecurity sector.

The Senior AI Engineer will solve complex problems using AI, build client relationships, and contribute to a top-tier AI team with at least 7 years of relevant experience.

As a Senior/Principal Machine Learning Engineer, you will develop ML models for self-driving vehicles, mentor others, and tackle complex technical challenges.

As an Industry 4.0 Analyst, you will implement AI-based solutions for cost reduction, collaborate with data scientists and engineers, and quantify operational impacts.

The role involves designing ML pipelines, integrating AI models into production, collaborating on AI workflows, automating tasks, and ensuring system performance and security in cloud environments.

As an AI Research Engineering Intern, you will research generative models, design algorithms for video generation, and collaborate with teams to enhance HeyGen's platform.

Six-month Data Scientist intern working on growth analytics: gather and validate advertising and app-tracking data, analyze campaign performance, build queries/scripts and dashboards, support campaign optimization, and present insights to stakeholders to improve product and client growth.

Lead projects in the TMT sector, focusing on performance improvement, revenue growth, and cost reductions while engaging with clients to create measurable outcomes.