AI/Data Engineer Intern: Build Production ML Pipelines

DP Architects Pte Ltd; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

DP Architects Pte Ltd is seeking an AI Engineer to develop and deploy machine learning solutions that support digital transformation across the organisation. You will handle data processing, model development, and production deployment, collaborating with cross-functional teams to translate business problems into scalable AI solutions.

The role requires 2–5 years in AI/ML or data science, strong Python and ML library skills, cloud experience, and a focus on delivering reliable and compliant AI

Qualifications

• Bachelor's degree or higher in CS/AI/DS/Engineering or related field.
• 2–5 years of experience in AI/ML development or data science roles.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-Learn).
• Experience with cloud platforms and ML deployment tools.
• Familiarity with data pipelines, APIs, and containerisation (Docker).

Responsibilities

• Design, develop and deploy machine learning models to solve business challenges.
• Build data pipelines, preprocess data and perform exploratory analysis.
• Train, evaluate and optimize models using suitable algorithms and metrics.
• Develop AI applications including CV, NLP, prediction models or automation.
• Deploy models into production using APIs, cloud services or containers.
• Monitor model performance and retrain as needed.
• Collaborate with software and data engineers to integrate AI into workflows.
• Prepare technical documentation and model reports.
• Conduct research on emerging AI technologies and best practices.
• Ensure AI development follows data governance and compliance guidelines.

Skills

Python

TensorFlow

PyTorch

Scikit-Learn

Docker

Education

Bachelor's degree in Computer Science / AI / Data Science / Engineering

Tools

AWS

Azure

GCP

Job description

DP Architects Pte Ltd is seeking an AI Engineer to develop and deploy machine learning solutions that support digital transformation across the organisation. You will handle data processing, model development, and production deployment, collaborating with cross-functional teams to translate business problems into scalable AI solutions.

The role requires 2–5 years in AI/ML or data science, strong Python and ML library skills, cloud experience, and a focus on delivering reliable and compliant AI