Senior AI Data Scientist (DSC/SN)

ST Engineering is a global technology, defence and engineering group with offices across Asia, Europe, the Middle East and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Join our Cyber Team

We are an industry leader in cybersecurity with over two decades of experience, we deliver a holistic suite of trusted cybersecurity solutions to empower cyber resilience for government and ministries, critical infrastructure, and commercial enterprises. Backed by our indigenous capabilities and deep domain expertise, we offer robust cyber-secure products and services in cryptography, cybersecurity engineering, digital authentication, SCADA protection, audit and compliance. We specialise in the design and build of security operations centres for cybersecurity professionals and provide managed security services to strengthen the cybersecurity posture of our government and enterprise customers.

The incumbent will develop advanced AI capabilities in reasoning, planning, and adaptive behavior. Drives innovation through data-driven learning and collaboration with engineering teams to implement intelligent, agentic solutions

The role requires a technically excellent and research-savvy AI Data Scientist who can push the boundaries of intelligent behavior—turning complex data and models into real-world, decision-capable AI systems. 

Responsibilities 

• Design and develop advanced AI models that enable reasoning, planning, state management, action execution, and tool orchestration in autonomous systems. 
• Leverage data, experience, and competitive environments to build AI systems that learn, adapt, and evolve over time. 
• Apply and extend state-of-the-art techniques in Graph Neural Networks (GNNs), Transformers, and Reinforcement Learning (RL) to power intelligent agents. 
• Architect and train models that support multi-step decision-making, long-term goal pursuit, and dynamic interaction with complex environments. 
• Collaborate closely with software engineers, ML engineers, and AI architects to transition research-driven models into scalable, production-ready systems. 
• Experiment with diverse learning paradigms (e.g., imitation learning, curriculum learning, meta-learning) to enhance agent capabilities. 
• Contribute to internal research initiatives and stay current with academic and industry advancements in foundational and applied AI. 
• Support data strategy by guiding data collection, labeling, simulation, and feedback loops necessary to train robust and generalizable models. 

Requirements 

Experience  

• 5–9 years of hands-on experience in AI model development, preferably in complex, real-world systems. 
• Proven track record of applying advanced machine learning techniques to build production-grade AI capabilities. 

Technical Skills 

• Expertise in Graph Neural Networks (e.g., PyTorch Geometric, DGL) and structured data representations. 
• Deep experience with Transformer architectures for sequential, relational, and multimodal learning. 
• Strong proficiency in Reinforcement Learning, including model-based and model-free approaches. 
• Proficient in Python and leading ML frameworks (e.g., PyTorch, TensorFlow). 
• Solid understanding of MLOps principles, model evaluation, interpretability, and deployment best practices. 

Preferred Knowledge 

• Experience working with agentic AI systems or autonomous agents in simulation or real-world environments. 
• Familiarity with knowledge graphs, reasoning engines, and multi-agent coordination strategies. 
• Exposure to competitive AI development (e.g., autonomous systems, robotics, simulations, or games). 

Soft Skills 

• Strong collaboration and communication skills across interdisciplinary teams. 
• Critical thinking and problem-solving mindset, with the ability to translate abstract concepts into actionable AI models. 

Work location: Jurong East

Find out more: https://www.stengg.com/cybersecurity

ST Engineering believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries, and have a thirst for knowledge, continuous learning, and self-improvement.