Senior Professional Officer (Artificial Intelligence), Centre for Digital Enablement

Key Responsibilities

• AI Enablement Programmes
• Lead and oversee a range of AI enablement programmes to facilitate the growth of AI skills among SIT undergraduate students and academic staff.
• Develop an AI Competency Roadmap, providing guidance for SIT undergraduate students and academic staff in developing their AI competencies.
• Stay up-to-date with the latest developments in AI, ensuring the continued relevancy and currency of the AI enablement programmes and AI Competency Roadmap.
• Manage AI-related resources within the division such as (but not limited to) the administration of software, hardware systems, and equipment.
• AI Projects for Teaching and Learning
• Drive AI projects within SIT or with industry partners to support teaching and learning objectives.
• Collaborate with faculty and other divisions on these AI projects.
• Participate in the development of these AI projects.
• Supervise external parties and mentor students in the development of these AI projects.
• Teaching & Student Mentorship
• Develop and deliver digital skills literacy related courses or workshops to undergraduate students and staff. This includes development of learning contents and activities, providing consultations on digital skills/technology related queries, and assessment and grading of students’ work.
• Mentor and facilitate student learning by participating in and managing student projects.
• Any other matters as directed by Director/Deputy Director of CoDE.

Job Requirements

• A good degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Masters, PhD and/or relevant professional certifications would be advantageous.
• 5+ years of working experience in Artificial Intelligence, Machine Learning, Analytics, or a related area.
• Proven experience in developing and deploying AI solutions.
• Strong programming skills in languages such as Python, TensorFlow, PyTorch, or similar.
• Proficiency in data preprocessing, model training, and evaluation techniques.
• Familiarity with cloud platforms and AI/ML tools (e.g., AWS, Azure, Google Cloud).
• Keen interest in innovation projects, with demonstrated ability in developing solutions to technical problems.
• Possess strong supervisory skills and project management skills.
• Good interpersonal skills and ability to work independently, as well as within a team, to ensure that the project can meet the milestones adhering to the stipulated timeline.
• Enjoy working closely with students in an educational environment.
• Demonstrate proficiency to keep abreast of development in the field and pursue professional certification programs.
•