Undergraduate Intern

2 weeks ago

Singapore Dell Technologies Full time $40,000 - $60,000 per year

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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