Undergraduate Intern -- AI Engineering

Posted 5 Days Ago
Be an Early Applicant
Singapore, SGP
In-Office
Internship
Cloud • Hardware • Information Technology • Internet of Things • Software • Business Intelligence
The Role
Gain hands-on experience in AI engineering by assisting in developing AI-driven solutions, testing models, and collaborating with senior engineers.
Summary Generated by Built In

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.

Top Skills

Ai/Ml Frameworks Like Huggingface
Azure
Cloud Platforms Aws
Docker
GCP
Java
JavaScript
Langchain
Python
PyTorch
TensorFlow
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The Company
HQ: Round Rock, TX
141,260 Employees
Year Founded: 1984

What We Do

Technology drives human progress. This tenet is the core of our business and vision. Our customers and team members are integral to our continuing success as we provide the essential infrastructure for organizations to transform their digital futures.

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