Design, train, evaluate and deploy machine learning and AI models. Build data pipelines, preprocess data, run EDA, optimise algorithms, deploy models to production (cloud/APIs/containers), monitor performance, document models, and collaborate with cross-functional teams on AI prototypes and production solutions.
COMPANY:
DP Architects Pte LtdBUILD 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.Similar Jobs
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What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
