OVERVIEW

At DSTA, we pioneer the development of AI-enabled C3 (Command, Control, and Communication) systems that address complex mission challenges, advancing Singapore’s defence capabilities. As part of our team, you will be at the forefront of creating innovative AI solutions, collaborating with top-tier experts from industry, academia, and within Singapore’s Defence Technology Community. Join us in shaping the future of defence technology and achieve your potential in an environment that fosters growth, learning, and innovation.
Learn more about our work at our Medium Blog.

OPPORTUNITY

We are seeking a C3 AI Engineer to join our team, where you will work alongside a multidisciplinary group of engineers and researchers. We are looking for forward-thinking innovators who are passionate about developing and applying AI specifically in the area of Natural Language Processing (NLP) and Generative AI to real-world defence and security challenges. Your work will directly contribute to the advancement of intelligent decision support, sensemaking, and mission-critical C3 capabilities.

JOB REQUIREMENTS

• Driven with a strong foundation from, but not limited to, Computer Science, Computer Engineering and AI/ML.
• Practical experience in developing and deploying NLP, Speech or Generative AI systems, with strong software engineering fundamentals.
• A resourceful and unyielding self-starter who thrives in a fast evolving environment, with passion for taking ideas from concept to impactful solutions.
• A team player who values clean, maintainable code, robust documentation, and effective communication.
• An eager learner who is committed to upskilling and sharing knowledge to elevate the team’s capabilities.
• Ability to influence and lead technical discussions, driving programme success through effective communication and AI expertise.
• Familiarity with transformer-based models, ML frameworks, API development, version control (Git), and containerisation will be advantageous.

EXPERIENCE:

0 ~ 5 years

QUALIFICATION

Bachelor’s degree or equivalent

• AI Design & Development: Develop scalable and efficient NLP, Speech and Generative AI services/applications to support information extraction, retrieval, sensemaking and decision support. This includes building, fine-tuning, and deploying deep learning models, including large language models (LLMs), multimodal models, speech processing pipelines and retrieval-augmented generation (RAG) systems.
• System Integration & Testing: Lead integration of AI modules and services into larger software systems and conduct comprehensive user testing and validation.
• MLOps: Manage data pipelines and model lifecycle, ensuring robustness, reliability and scalability of AI services.
• Edge AI Applications: Optimise AI models for low-latency, resource-constrained environments, ensuring real-time responsiveness and system efficiency.
• Continuous Innovation: Stay at the forefront of generative AI, NLP, and multi-modal AI developments and drive continuous improvements. Propose and prototype new concepts to keep our capabilities state-of-the-art.
• Research and Development: Collaborate with research partners and explore emerging trends in areas such as multi-agent systems, knowledge representation and AI validation and verification.