AI Engineer, Office of Integrated Information Technology Services

• Aligned with Innovation Enabled:
  
  • Assist in AI Solution Development: Support the design, training, and deployment of AI models for innovative teaching and learning solutions, enhancing personalization and engagement.
  • Support IT Modernization Efforts: Work on automating processes and improving service delivery to achieve operational excellence and stakeholder satisfaction.
• Aligned with User-Centric:
  
  • Enhance User Experience: Collaborate with the team to integrate AI into IT services, ensuring seamless and user-friendly applications that prioritize empathy and usability.
  • Develop Employee-Focused Tools: Build and maintain AI-powered tools that assist employees in focusing on value-added tasks and improving productivity.
• Aligned with Data-Driven:
  
  • Prepare and Process Data: Collect, clean, and preprocess data for machine learning and AI projects, ensuring accessibility and usability for decision-making.
  • Contribute to Analytics and Insights: Assist in generating intelligent insights by developing and refining models for data analysis and reporting.
• Technical and Collaborative Responsibilities:
  
  • AI Development and Maintenance: Write and maintain code for AI/ML models and pipelines, ensuring accuracy, scalability, and efficiency.
  • Research and Experimentation: Explore emerging AI techniques and tools to recommend improvements and innovative solutions.
  • Documentation and Reporting: Maintain clear documentation of AI workflows, model parameters, and project updates for future reference and team collaboration.
  • Cross-Functional Collaboration: Work closely with the AI Technical Lead and stakeholders across departments to ensure solutions meet business needs.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
• Minimum 5 years' experience in an IT role, with 1 to 2 years in AI and related fields.
• Recent graduates or candidates with internships/projects in AI/ML are welcome.
• Certifications such as Microsoft Azure AI Fundamentals, AWS Certified Machine Learning, or Google AI certifications are a plus.
• Proficiency in Python or R, with familiarity in ML libraries such as Scikit-learn, TensorFlow, or PyTorch.
• Basic understanding of data visualization tools (e.g., Matplotlib, Seaborn).
• Awareness of cloud services such as Azure, AWS, or Google Cloud, with hands-on experience being a plus.
• Knowledge of data processing tools like SQL and familiarity with data preparation techniques for AI/ML models.
• Exposure to ETL pipelines and working with datasets from diverse sources.
• Demonstrated experience through coursework, internships, or personal projects in developing and deploying machine learning models.
• Strong ability to work in a team, learn quickly, and apply feedback to improve performance.
• Problem-Solving: Logical and creative thinking to address challenges in AI implementation.
• Communication: Ability to articulate technical concepts to non-technical team members and stakeholders.
• Ethical Awareness: Understanding the basics of ethical AI practices, such as fairness and data privacy.

Other Information

Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.