Top AI Engineer Jobs in Singapore

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 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.

Develop and implement AI solutions for game development, enhance integration with game engines, and collaborate with teams to analyze player engagement.

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 Principal Full Stack Engineer will architect and build AI-powered systems, design workflows, mentor engineers, and enhance development productivity at Sleek.

The Senior Software Engineer will design and build an AI/ML platform, optimize performance for deep learning, and lead engineering initiatives.

The role involves building AI search agents, creating RAG pipelines, optimizing vector search technologies, and automating evaluation processes.

As a Developer Technology Engineer at NVIDIA, you'll optimize GPU deployment and enhance AI applications, collaborating with internal teams and external partners while mentoring junior engineers.

The AI Engineer will develop AI solutions leveraging LLMs, leading the development lifecycle and collaborating with teams to integrate AI into workflows.

As an AI Engineer at SimplifyNext, you will develop machine learning models, integrate AI solutions, perform data engineering tasks, and collaborate with SMEs to deliver impactful AI-driven solutions.

The Research Engineer will conduct research, develop algorithms, design experiments, translate concepts into prototypes, and analyze data, focusing on sustainable digital solutions.

The Research Engineer will support fintech research by developing AI models for risk prediction and decision-making, collaborating with teams to innovate in banking applications.

The Research Engineer will develop and implement algorithms for AI-driven robotics, conduct experiments, and collaborate on research projects in embodied AI and robotic manipulation.

The Research Engineer will conduct studies on large language models for Southeast Asian languages, focusing on neural networks and natural language processing. Responsibilities include literature review, experiments, and research presentations.

The Research Engineer will design and develop knowledge fusion frameworks using LLMs, construct knowledge graphs, and collaborate on environmental research.

As an AI & Systems Engineer, you'll design and scale systems for AI agents, develop APIs, manage cloud infrastructure, and integrate data for automation workflows.

As an AI Infrastructure Engineer at Bitdeer, you'll optimize GPU clusters, manage inference jobs, tune runtimes, and build observability tools in a distributed environment.

Design and build autonomous AI systems using large language models, develop workflows, and integrate solutions into production while ensuring performance optimization.

The role involves training aspiring software engineers in AI and automation, focusing on ServiceNow integration with LLMs and coding best practices.

As a Cybersecurity Engineer, you will secure AI and Cloud systems, advise on implementations, conduct risk assessments, and monitor emerging threats.

The intern will develop web applications and dashboards, manage clinical trial data infrastructure, utilize AI tools, and enhance data visualization for decision-making in drug development.

The role involves solving complex customer issues, providing technical guidance, using automation for internal tools, and collaborating with other teams to enhance customer experience.

Lead the development of AI tools that optimize the software development lifecycle, mentor teams, and implement scalable ML systems.