Azure AI Engineer – Smart Transport & Analytics

SMRT CORPORATION LTD; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading transport organization is seeking an experienced AI Engineer to innovate within the SMRT team in Singapore. The role focuses on deploying AI solutions tailored for transport systems, leveraging Microsoft Azure services. Ideal candidates will possess deep AI engineering expertise and a solid understanding of transportation operations. Responsibilities include developing predictive models for maintenance, optimizing routes, and collaborating with data engineers to manage large datasets effectively. This role is crucial for driving operational efficiencies and enhancing customer experiences.

Qualifications

• 5+ years of progressive experience in AI engineering roles, especially within public transport or logistics.
• Proven hands-on experience with Microsoft Azure AI services.
• Solid understanding of transport operations and predictive maintenance strategies.

Responsibilities

• Design, build, and deploy end-to-end AI solutions for SMRT's transport domain.
• Lead deployment and integration of AI models into operational systems.
• Work with operational teams to validate AI use cases for business needs.

Skills

Microsoft Azure AI services

Large Language Models (LLMs)

Data visualization with Power BI

Python for AI/ML development

SQL for data manipulation

Excellent communication skills

Education

Bachelor's or master's degree in Computer Science, Data Science, Artificial Intelligence

Tools

Azure Machine Learning

Azure Cognitive Services

Azure Data Factory

Azure Synapse Analytics

Job description

A leading transport organization is seeking an experienced AI Engineer to innovate within the SMRT team in Singapore. The role focuses on deploying AI solutions tailored for transport systems, leveraging Microsoft Azure services. Ideal candidates will possess deep AI engineering expertise and a solid understanding of transportation operations. Responsibilities include developing predictive models for maintenance, optimizing routes, and collaborating with data engineers to manage large datasets effectively. This role is crucial for driving operational efficiencies and enhancing customer experiences.