Top AI Engineer Jobs in Singapore

Design, fine-tune, and deploy AI/ML solutions (including LLMs) using Python and ML/DL frameworks; integrate geospatial and 3D data; build scalable training pipelines and APIs or plugins for engineering tools; collaborate with engineers and GIS/BIM specialists to embed AI into infrastructure workflows.

The role involves developing AI models, automating reports, collaborating with teams, and enhancing Generative AI applications for business solutions.

The role involves developing AI solutions, integrating data for analytics, building Generative AI applications, and collaborating with business stakeholders.

As a Customer Data Scientist, you'll develop custom AI/ML applications, conduct training programs, and support customers in leveraging H2O's tools and models while translating technical insights into business narratives.

As an Applied AI Engineer, you will develop AI features, improve model behavior, debug production issues, and collaborate on systems that deliver reliable AI solutions.

The Applied AI Engineer will lead the adoption of AI products, collaborating with clients to integrate AI models and maintain full-stack applications while enhancing customer feedback.

Assist in developing and optimizing AI models, supporting deep learning techniques, and collaborating with engineering teams. Continuous learning and contribution to projects are emphasized.

The Senior UX/AI Engineer will lead UX/UI design initiatives, utilize AI tools for design, conduct user research, and collaborate with teams to enhance user experience and usability in Acronis's products.

Develop, deploy, and evaluate AI models in production, focusing on model serving and quality frameworks while integrating AI into products.

Develop and optimize machine learning algorithms, train AI models, conduct data analysis, integrate models into systems, and drive innovations in AI technologies.

The AI Research Engineer will conduct applied research to integrate AI/ML techniques for software engineering, develop algorithms, prototype systems, and collaborate with teams to enhance software quality and maintenance.

The role involves managing AI system reviews, conducting risk assessments, ensuring compliance, and collaborating with teams to enhance AI governance and reporting processes.

The AI Engineer supports the global AI sandbox, develops AI solutions, conducts R&D, and collaborates with cross-functional teams to deliver high-quality AI products.

Design, evaluate, and deliver AI solutions for gaming. Build scalable AI services, mentor teams, and communicate technical concepts effectively.

As a Generative AI Engineer at ResMed, you will design and deploy AI workflows on AWS, modernize systems, develop solutions, and collaborate with teams to improve healthcare technology.

Develop and optimize machine learning algorithms, train and evaluate AI models, preprocess data, collaborate on deployment, and drive research innovations in AI.

As an AI Engineer, you will build and deploy AI solutions, work with data preparation, integrate models into applications, and collaborate with teams to solve business problems using AI.

Develop and deploy applications using LLMs, fine-tune models, implement advanced workflows, and integrate GenAI pipelines into production systems.

The AI Engineer role involves applying expertise in AI and ML to develop solutions, enhance client relationships, and continuously improve skills.

The Senior AI Engineer will solve complex problems using AI, enhance client relationships, and contribute to a top-tier AI team with responsibilities in development and governance.

The AI Engineer will enhance AI-driven EHR systems by developing prompt strategies for Large Language Models, collaborating with healthcare professionals, and refining NLP applications within healthcare workflows.

As an AI Developer, you will develop Generative AI solutions, collaborating with data engineers and implementing ML models to enhance operations and support business needs.

The Senior AI Developer will lead Generative AI initiatives, develop innovative solutions, and collaborate with teams to enhance operations and customer experience.

The Senior AI Engineer will develop and deploy generative AI solutions in healthcare, focusing on system integration, deep learning algorithms, and large language models.

Develop advanced calibration, localization, and mapping algorithms for autonomous robots, ensuring high-quality code delivery and collaboration across teams.