Applied AI Engineer Intern — Build Real-Time AI Systems

Millennium; Singapore; On-site; SGD 10,000 - 20,000; Full time

Job summary

Millennium in Singapore seeks a highly motivated AI/CS internship candidate for hands-on experience across data pipelines, ML models, and scalable AI applications. You will collaborate with engineering, research, and business teams to deploy AI in production environments and evaluate new tools and models.

Ideal candidates are pursuing a Bachelor’s or Master’s in AI, Computer Science, or Software Engineering, with strong GPA, knowledge of AI/ML concepts, data structures, and SQL/NoSQL.

Qualifications

• Expected to graduate between December 2027 and July 2028.
• Cumulative GPA of 3.5 and above.
• Pursuing a Bachelor’s or Master’s degree in AI, Computer Science, Software Engineering, or a related field.
• Strong knowledge of current AI and machine learning advancements, including large language models.
• Strong understanding of data structures, algorithms, and computational complexity.
• Knowledge of SQL and NoSQL databases, with experience working with large datasets.
• Availability to commit fully to the internship for the full program duration.

Responsibilities

• Support the development, testing, and deployment of AI and machine learning models in production environments.
• Build and enhance AI-powered applications, workflows, and integrations that drive business impact.
• Evaluate new models, tools, and approaches to improve performance and refine solutions.
• Develop scalable software and services that support reliable, low-latency AI systems.
• Contribute to data pipelines and infrastructure used to process large-scale, real-time data for AI applications.

Skills

AI

ML

Data structures

Algorithms

SQL

NoSQL

Programming

Education

Bachelor’s or Master’s degree in AI/CS/Software Engineering

Job description

Millennium in Singapore seeks a highly motivated AI/CS internship candidate for hands-on experience across data pipelines, ML models, and scalable AI applications. You will collaborate with engineering, research, and business teams to deploy AI in production environments and evaluate new tools and models.

Ideal candidates are pursuing a Bachelor’s or Master’s in AI, Computer Science, or Software Engineering, with strong GPA, knowledge of AI/ML concepts, data structures, and SQL/NoSQL.