Undergraduate Intern

AI Engineering Undergraduate Intern - AI Innovation Hub

We are seeking a motivated and curious AI Engineering Intern to join our AI Innovation Hub team. In this role, you will work closely with senior AI architects and engineers to gain hands-on experience in designing, building, and supporting AI-driven solutions. This internship is a great opportunity to build your skills in machine learning, data engineering, and AI system development while contributing to real-world projects.

Join us as an AI Engineering Undergraduate Intern in Singapore to do the best work of your career and make a profound social impact.

What You’ll Achieve

As an AI Engineering Intern, you will work alongside senior AI architects and engineers to drive AI innovation, explore emerging technologies, and turn ideas into real-world solutions while gaining hands-on experience across AI/ML, data engineering, and modern development tools.

You will:

• Hands-on mentorship from experienced AI architects and engineers.

• Exposure to cutting-edge AI platforms, tooling, and workflows.

• Real-world experience contributing to enterprise-grade AI initiatives.

• Opportunity to explore future career paths in AI engineering and architecture.

Key Responsibilities:

• Assist in developing and testing components of data pipelines, machine learning models, and AI services.

• Support the integration and testing of APIs and deployment workflows for AI models.

• Collaborate with AI engineers and data scientists on tasks related to AI platform development.

• Help document processes, tools, and workflows used in AI engineering projects.

• Learn and apply best practices for AI development, including security, compliance, and code quality.

Take the first step towards your dream career

Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

• Currently pursuing a Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.

• Exposure to at least one AI/ML framework such as HuggingFace, LangChain, TensorFlow, or PyTorch(through coursework, personal projects, or internships).

• Familiarity with a programming language such as Python, JavaScript, or Java.

• Basic understanding of cloud platforms (e.g., AWS, GCP, or Azure) or container technologies (e.g., Docker) is a plus.

Desirable Requirements

• Experience using Jupyter notebooks or version control tools like Git.

• Interest in MLOpstools or workflows (e.g., MLflow, Airflow, SageMaker).

• Understanding of basic machine learning concepts and data workflows.