Top AI Jobs in Singapore

As a Senior/Staff Engineer for the AI Crawler Platform at OKX, you'll design and maintain the crawler platform, develop scraping scripts and data warehouse pipelines, integrate AI models, and enhance technology practices through code reviews and improvements.

The Game AI Research Leader will establish and lead a research team focusing on advanced research in game AI. Responsibilities include conducting research, developing technical strategies for implementation in game development, producing academic results, and fostering team building and talent development.

The AI Lead Engineer will spearhead the development of advanced computer vision technologies for security applications, focusing on facial recognition and anti-deepfake solutions. Responsibilities include leading a team, collaborating with cross-functional departments, and staying updated on industry trends to enhance biometric processing systems.

The job involves using coding expertise to train generative AI models by crafting questions, evaluating generated code, and providing human feedback on AI learning. It is a freelance, remote position with flexible hours.

Outlier seeks software engineers fluent in Traditional Chinese to assist in training AI language models. Responsibilities include crafting computer science questions, and evaluating code generated by AI, offering flexible freelance work.

As an AI Backend Engineer, you'll develop and maintain backend services and APIs, collaborate with frontend developers, implement database queries, ensure application reliability, write clean code, and mentor junior engineers.

As a Solutions Architect - AI/ML at Snowflake, you will build and deploy machine learning pipelines, work with technical teams and customers to design solutions, and utilize Snowflake features to enhance data science workflows. You will also need to present technical concepts to various audiences and maintain awareness of competitive technologies.

The Senior AI/ML Engineer will design and implement AI/ML models to analyze blockchain data, collaborate with teams to integrate these models into Nansen's platform, mentor junior engineers, and apply innovative solutions to drive decision-making for crypto investors.

The Gen AI Data Scientist at Kyndryl acts as a bridge between business challenges and AI solutions, utilizing methodologies and data analysis. They will build and deploy innovative AI models, conduct feasibility studies, and collaborate with cross-functional teams, while managing client relationships and conducting AI workshops.

The Research Scientist will conduct cutting-edge research in AI, focusing on generative AI, NLP, and deep learning technologies. Responsibilities include setting ambitious research goals, developing solutions for large-scale problems, and potentially leading project teams. Collaboration within the research community and contributions to academic conferences are also key aspects of the role.

The SGP Intern at GlobalFoundries will support the AI/ML Solutions team by engineering data for analytics, learning new AI/ML technologies, and developing business intelligence reports. They will work on data integration and support BI infrastructure to enable insights for engineers and executives in the semiconductor sector.

The CX AI Transformation Specialist will promote AI adoption, assess business needs for tailored AI solutions, measure AI impact on performance, lead sales initiatives, and engage with clients to ensure satisfaction, while also providing thought leadership on AI technologies.

The Technical AI Solution Specialist will provide technical expertise in AI solutions, collaborating with sales teams and engineering to develop customized AI solutions for customers, conduct workshops, train clients, and stay updated on AI advancements.

The Applied AI Research Scientist will innovate in sustainability for built environments, develop AI/ML prototypes, conduct experiments for proof of concept, collaborate for research initiatives, and manage stakeholder relationships.

This role involves providing human feedback to train AI models by assessing the relevance and factuality of AI-generated texts and Math solutions, crafting related Math questions, and utilizing fluent Russian to communicate concepts clearly.

As an AI/Machine Learning Engineer, you will design and implement applications centered around Generative AI, deploying large language models in cloud environments and collaborating with cloud architects and developers. Proficiency in Python is essential, alongside knowledge of cloud AI services and machine learning frameworks. You will also address customer problems and present your work effectively.

The job involves owning and building large areas within AI data management software, participating in the entire product lifecycle, and quickly learning new technologies as needed. You’ll work on developing tools for managing unstructured data at scale, contributing to open-source solutions, and collaborating with a remote team.