InternshipTech & engineering· Posted 4 Aug

AI/Data Engineer Intern

DP ArchitectsFrom company site

Salary

Not stated by the company

When

To be confirmed

Where

Singapore

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Start: Not stated
Work mode: On-site
Experience: Some experience

About the role

This internship sits with an architecture practice in Singapore, where you would help build and run AI and machine learning tools that support the firm's digital transformation work. You would join cross-functional project teams and get exposure to data processing, model building and putting AI systems into live use. It suits someone with a computing or data background who wants hands-on applied AI experience in a design-led organisation.

What you'll do

Design, build and roll out machine learning and AI models for business and operational problems
Create data pipelines, clean and prepare datasets, and run exploratory analysis to support modelling
Train, assess and tune models using suitable algorithms and performance measures
Build AI applications such as computer vision, natural language processing, prediction or automation tools

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Put models into production through APIs, cloud services or container platforms

Track model performance, retrain models and make improvements so results stay reliable

Work with software engineers, data engineers and business teams to embed AI into products and workflows

Write technical documentation, model reports and version tracking records

Research new AI technologies, frameworks and practices to grow the organisation's capabilities

Follow ethical guidelines, data governance and compliance rules in AI work

Support proof-of-concept prototypes and try out new AI techniques

Good to know

Part-time internship based in Singapore

Requirements

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering or a related field
2–5 years of experience in AI/ML development, data science or applied machine learning
Strong Python skills and familiarity with ML libraries such as TensorFlow, PyTorch or Scikit-Learn
Experience with cloud platforms (AWS, Azure or GCP) and ML deployment tools
Understanding of data engineering concepts, APIs, version control and containerisation such as Docker
Strong analytical skills and ability to turn technical findings into practical solutions

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AI/Data Engineer Intern

About the role

What you'll do

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Requirements

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