Undergraduate Intern -- AI Engineering

Dell Technologies

Singapore, Singapore permanent

Posted: March 18, 2026

Required Skills

Job Description

Job Title: AI Engineering 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.

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.

Basic Qualifications:

• 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.

Preferred Qualifications:

• Experience using Jupyter notebooks or version control tools like Git.
• Interest in MLOps tools or workflows (e.g., MLflow, Airflow, SageMaker).
• Understanding of basic machine learning concepts and data workflows.
• A strong eagerness to learn, collaborate, and contribute in a fast-paced, innovative environment.

What You’ll Gain:

• 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.

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