Senior AI/ML Engineer (DSC/TE)

About ST Engineering 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. Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers. About our Line of Business – Advanced Networks & Sensors Our Advanced Networks & Sensors business specializes in platform digitalization, advanced connectivity, and cutting-edge manufacturing. This diversity of capabilities presents a range of roles through which you can contribute to the development of innovative, secure, and patented products. Join our team and play a crucial role in developing tomorrow’s technology and connectivity solutions and services to sectors spanning defence, public security, government, and the commercial realm. Your work will have a global impact as we empower customers through advanced communications, intelligent sensors, and the deployment of AI-enabled Edge applications for mission-critical roles. Together, We Can Make A Significant Impact We are seeking a Senior AI/ML Engineer to design, build, evaluate, deploy, and improve production-grade artificial intelligence and machine learning solutions. The role combines strong machine-learning expertise with sound software engineering, data, API, and MLOps practices. You will work with product, software, data, platform, cybersecurity, quality, and business teams to translate complex needs into secure, reliable, measurable, and maintainable AI capabilities. Be Part of Our Success AI/ML Solution Development Translate business needs into AI/ML solutions with clear objectives, success metrics, and delivery plans. Design, develop, fine-tune, and optimize ML, deep learning, and Generative AI solutions. Build LLM applications using RAG, tool/function calling, structured outputs, and agentic workflows. Develop reusable AI components, standards, and frameworks to accelerate delivery. Select practical, scalable solutions balancing performance, security, cost, and maintainability. Data, Evaluation & Responsible AI Define data requirements and support data preparation, quality assurance, and governance. Establish evaluation frameworks covering accuracy, robustness, safety, reliability, and cost. Conduct testing, error analysis, and performance reviews to improve model outcomes. Ensure compliance with Responsible AI, privacy, cybersecurity, and governance requirements. Maintain documentation and audit evidence to support reviews and risk management. Production Engineering & MLOps Deploy and manage AI solutions across cloud, on-premises, and edge environments. Build automated MLOps pipelines for training, deployment, monitoring, and retraining. Monitor model performance, drift, reliability, utilization, and costs. Integrate AI capabilities with enterprise systems and business workflows. Produce technical documentation, runbooks, and knowledge transfer materials. Technical Leadership & Collaboration Lead solution design reviews and promote engineering best practices. Mentor team members and contribute to AI/ML standards and capability development. Communicate technical concepts, risks, and trade-offs to diverse stakeholders. Collaborate across business, product, data, and engineering teams to deliver outcomes. Stay current on AI, GenAI, MLOps, and AI governance trends and practices. Qualities We Value Knowledge in Computer Science, AI, Machine Learning, Data Science, Engineering, or a related field (or equivalent experience) Minimum 5 years' experience delivering AI/ML, data science, or intelligent software solutions in production environments Proven experience managing end-to-end AI/ML solution lifecycles, from design through deployment and optimization Strong Python and SQL skills with solid software engineering practices Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn Experience building Generative AI/LLM solutions, including embeddings, vector search, RAG, prompt engineering, and evaluation Knowledge of APIs, MLOps, CI/CD, containers, monitoring, and cloud/on-premises deployments Strong analytical, problem-solving, communication, and stakeholder management skills Ability to work independently and collaboratively in cross-functional teams Working location is in Jurong East Singaporeans Only Our Commitment That Goes Beyond the Norm An environment where you will be working on cutting-edge technologies and architectures. Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated. Meaningful work and projects that make a difference in people’s lives. A fun, passionate and collaborative workplace. Competitive remuneration and comprehensive benefits.