AI/Data Engineer Intern
dpgroup · Singapore ·
- Seniority
- Intern
- Employment
- Internship
- Category
- Data engineering
- Experience
- 2+ years
dpgroup · Singapore ·
remotestar-team · Karnataka, Bengaluru, India
gradera · Hyderabad, India Office
Adobe · Noida, Uttar Pradesh
Builds and deploys AI/ML models (NLP, vision, prediction) and data pipelines to automate decisions and workflows in a design-focused architecture firm.
COMPANY:
DP Architects Pte Ltd
BUILD YOUR FUTURE WITH US
Every DPian Matters is the motto that reflects our core values. DP Architects actively supports the growth of our people through dedicated talent development programmes, clear career pathways and access to global opportunities. Our culture of continuous learning, collaboration and shared purpose develops skilled and engaged people deeply invested in the future of our built environment. Our practice is defined by the pursuit of design excellence, supported by research and innovation, and anchored in teamwork for the collective good. Together, we pursue better-than-sustainable outcomes to shape a regenerative future for our cities and communities.


JOB SUMMARY: The AI Engineer develops, deploys and maintains artificial intelligence and machine learning solutions to support digital transformation initiatives across the organisation. The role works on data processing, model development, algorithm optimisation and production deployment of AI systems. The AI Engineer collaborates with cross-functional teams to translate business problems into scalable AI solutions, improving efficiency, automation and decision-making across the organisation. JOB RESPONSIBILITIES: • Design, develop and deploy machine learning and AI models to solve business and operational challenges. • Build data pipelines, preprocess datasets and conduct exploratory data analysis to support model development. • Train, evaluate and optimise models using appropriate algorithms and performance metrics. • Develop AI applications including computer vision, natural language processing, prediction models or automation solutions. • Deploy models into production environments using APIs, cloud services or containerised platforms. • Monitor model performance, conduct retraining and implement improvements to ensure reliability. • Collaborate with software engineers, data engineers and domain teams to integrate AI into enterprise products or workflows. • Prepare technical documentation, model reports and version tracking records. • Conduct research on emerging AI technologies, frameworks and best practices to enhance organisational capabilities. • Ensure AI development follows ethical guidelines, data governance and compliance requirements. • Support proof-of-concept prototypes and experiment with innovative AI techniques. JOB REQUIREMENTS: • Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering or related fields. • 2–5 years of experience in AI/ML development, data science or applied machine learning roles. • Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-Learn or similar. • Experience with cloud platforms (AWS, Azure or GCP) and ML deployment tools. • Familiarity with data engineering concepts, APIs, version control and containerisation (Docker). • Strong analytical skills with ability to translate technical insights into practical solutions. • Good communication skills and ability to collaborate with cross-functional stakeholders. • Portfolio or prior experience in NLP, computer vision or deep learning is advantageous.