EMA - Data AI Engineer

SMRT Corporation Ltd; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading transportation company in Singapore is seeking a Data AI Engineer to join its Engineering and Management Associate Programme. The role involves developing data pipelines, integrating data from various sources, and employing AI technologies to enhance user engagement for the WINK+ app. Recent graduates with a strong analytical background and knowledge of programming languages such as Python and SQL are encouraged to apply. This position offers professional development opportunities in a dynamic environment.

Qualifications

• Fresh graduates are preferred.
• Possess leadership ability and a passion for service.
• Thrive in fast-paced environments.

Responsibilities

• Develop and maintain data pipelines (ETL/ELT) for WINK+.
• Leverage user data to enhance the WINK+ user experience.
• Automate content sourcing using AI/ML techniques.
• Support integration of data from multiple sources and ensure data quality.

Skills

Analytical skills

Knowledge of Python

Knowledge of SQL

Knowledge of R

Knowledge of Java

Team player

Effective communication skills

Education

Degree in Computer Science, IT or similar Engineering fields

Tools

Azure Data Factory

Azure Synapse

Power BI

Job description

EMA - Data AI Engineer

Job Purpose

The Engineering and Management Associate (EMA) Programme is SMRT’s graduate programme which will provide a structured pathway for those who aspire to make a difference as engineering leadersYour journey begins with a one-month foundation programme, followed by structured development, specialised training and varied opportunities leading to professional accreditation. Your development will be further enhanced through our comprehensive 'Triple E' Development Framework - (1) Education, (2) Exposure and (3) Experience, designed to nurture and develop capable and talented individuals for future leadership positions in the company

Responsibilities

Job Purpose: Join us to help build and operate the data foundation that powers SMRT’s WINK+ app and adjacent services. You will work on data pipelines, backend services, and AI-enabled features (e.g., personalization, intelligent assistance, predictive insights) that improve user engagement and operational efficiency. This role offers hands‑on experience to data engineering, cloud technologies (AWS/Azure), and AI engineering (LLMs, Azure AI, MLOps)

• Assist in developing and maintaining data pipelines (ETL/ELT) for WINK+.
• Leverage user and behavioral data to build a personalization engine that enhances the overall Wink+ user experience.
• Automate content sourcing and generation using AI/ML techniques to ensure the Wink+ app consistently displays accurate, up-to-date product and menu information.
• Support integration of data from multiple sources and ensure data quality and reliability.
• Participate in troubleshooting, debugging, and performance optimisation under guidance.
• Work with senior engineers to design and deploy AI solutions, e.g., LLM‑ assistance, content generation, personalisation and demand forecasting.
• Assist in preparing datasets, feature engineering, experiment tracking, and model evaluation; help implement MLOps (deployment, monitoring, retraining).
• Gain experience to Azure AI services (Azure OpenAI, Cognitive Services, Azure ML), Azure Synapse Analytics, and Azure Data Factory for scalable AI workflows.
• Build interactive dashboards or simple UIs (e.g., Power BI /open‑source frameworks) to deliver actionable insights.

Qualifications & Work Experience

We are looking for fresh graduates:

• Possess leadership ability, a passion to serve and make a difference
• Thirst for challenges and new experiences
• Thrive in a fast‑paced and challenging environment
• Strong team player with effective communication skills
• Degree in Computer Science, IT or similar Engineering fields

Technical Skills

• Strong analytical skills with the ability to collect, clean, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
• Technical expertise with data models, data mining, and segmentation techniques.
• Knowledge of programming languages (Python, SQL, R & Java).
• Experience in Azure Cloud technologies (i.e., Azure Data Factory, Azure Analysis Service (AAS), Azure Data Lake, Azure SQL DB, Azure Functions, Event Hub, Azure Synapse, Azure Logic Apps and ARM Templates) is a plus.
• Exposure through coursework, projects, or internships to data engineering or backend development is an advantage.