Lead the adoption of modern engineering practices, establish scalable technology frameworks, and guide cross functional teams in delivering high impact digital and AI enabled solutions
Job Summary
Lead the adoption of modern engineering practices, establish scalable technology frameworks, and guide cross functional teams in delivering high impact digital and AI enabled solutions.
Contribute to the development of AIA’s AI/ML strategy by identifying emerging technologies and methodologies aligned with business goals.
Act as a bridge between business and technology teams, translating business objectives into actionable technical strategies.
Matching Summary
Lead the adoption of modern engineering practices, establish scalable technology frameworks, and guide cross functional teams in delivering high impact digital and AI enabled solutions.
Skills & Requirements
Must-have
AI/ML strategy development
enterprise AI roadmaps
applied AI research
end-to-end AI product delivery
Agile/Scrum development process
Python, TensorFlow, PyTorch
cloud platforms (AWS, Azure, GCP)
Nice-to-have
visionary, forward thinking leaders
customer focus
good team player
generative AI knowledge
DevOps, ML Ops, LLM Ops experience
Key Requirements
Minimum 6 years of hands-on experience in AI/ML engineering
Bachelor’s degree or higher in computer science, engineering, science, or related fields, or equivalent experience
Proficiency in Python, TensorFlow, PyTorch, or similar frameworks
Experience in at least 1 popular database
Experience in cloud platforms
Strong communication skills in English, Mandarin, or Cantonese