Deadline:
As soon as possible
Companies
Location(s)
Singapore
Overview
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.
Details
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.
Opportunity is About
Eligibility
Candidates should be from:
Description of Ideal Candidate
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.
Dates
Deadline: As soon as possible
Cost/funding for participants
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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