You deep dive into technical solutions, work with operational users to acquire datasets and models for the Singapore Armed Forces (SAF).

- Develop AI/ML products for the SAF - Identify, initiate, and promulgate worthwhile engineering projects across the SAF - Work with operational users to acquire and utilise relevant datasets and models - Ensure beneficial deployment of AI/ML tools within the SAF Challenge(s) - Maintaining in-depth understanding of AI/ML and languages like Python - Applying experience with complex data structures and algorithms - Staying acquainted with rapidly evolving AI/ML technologies - Ensuring deep understanding of AI/ML application and impact in military contexts

- Education in quantitative, scientific and technology fields such as Mathematics, Statistics, Computer Science, Data Science and Analytics - At least 3 years of relevant work experience - Deep understanding of AI/ML (supervised and unsupervised learning, neural networks, deep learning) - Hands-on experience with current AI tools like TensorFlow and PyTorch - Strong leadership, planning and communication skills - Ability to multi-task and work under stressful environments Only shortlisted candidates will be notified.

The mission of MINDEF and the Singapore Armed Forces is to enhance Singapore's peace and security through deterrence and diplomacy, and should these fail, to secure a swift and decisive victory over the aggressor. The Defence Executive Officer (DXO) scheme is the non-uniformed career scheme of MINDEF that offers myriad opportunities in various job functions, such as corporate communications, cyber security, data analytics and visualisation, defence policy, finance, HR, psychology, and more. Embodying the same level of commitment towards defence, DXOs work together with their military counterparts to contribute to MINDEF/SAF’s mission and ensure Singapore's security and stability. United by this common cause, our lines of defence complement each other to secure the prosperity and progress of our nation.