AI/ML Engineer

Key Responsibilities

• Design, build, and deploy scalable AI and machine learning solutions, supporting the full lifecycle from data ingestion to production deployment
• Develop and maintain end-to-end pipelines, including model training, validation, and serving
• Work with advanced AI technologies such as Large Language Models (LLMs), embeddings, multi-agent systems, and RAG-based architectures
• Manage model lifecycle processes, including experimentation,versioning, validation, and release into production environments
• Support the development of reliable and scalable infrastructure using containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines
• Collaborate closely with data scientists, engineers, and other stakeholders to translate research and prototypes into production-ready applications
• Integrate AI solutions into existing systems while ensuring performance, scalability, and reliability
• Monitor and improve model performance, including tracking data drift and optimizing system efficiency
• Contribute to engineering best practices through code reviews, testing, and continuous improvement initiatives

Qualifications

• Degree in Computer Science, Data Science, Mathematics, Statistics, or a related field, or equivalent practical experience
• Strong programming skills in Python, with experience writing clean, maintainable, and testable code
• Hands-on experience developing and deploying machine learning models and pipelines in production environments
• Familiarity with ML Ops practices and tools such as ML flow, Weights & Biases, or similar platforms
• Experience working with Large Language Models (LLMs) and modern AI frameworks
• Understanding of agent-based systems, orchestration frameworks, or related AI architectures
• Experience with containerization (Docker) and working knowledge of Kubernetes
• Familiarity with CI/CD tools such as GitLab, Jenkins, or similar
• Solid understanding of data preparation, feature engineering, and model evaluation techniques
• Knowledge of core statistical and mathematical concepts relevant to machine learning
• Experience working with cloud platforms and GPU-based workloads is an advantage
• Strong problem-solving skills and the ability to work effectively in cross-functional teams

This isa permanent role in Singapore.