AI/ ML Engineer

Responsibilities

AI/ML Systems Design and Development

. Enhance and maintain intelligent anomaly detection pipelines by integrating traditional rulebased systems with modern time series forecasting and ML models.

. Build scalable, production-grade machine learning pipelines using Python, TensorFlow, PyTorch, and Scikit-learn.

. Design and deploy real-time and batch inference services using AWS SageMaker, Lambda, and Bedrock.

. Implement generative AI and LLM-based solutions to enhance system diagnostics, log interpretation, anomaly explanation and to dynamically generate rules.

. Develop and maintain backend services using Java Spring Boot and frontend applications using React.

. Utilize MongoDB for efficient data storage and retrieval in anomaly detection systems.

Automation and Infrastructure

. Lead the development of fully automated ML workflows, from data ingestion to model retraining and monitoring, using shell scripts, AWS Step Functions, and CI/CD pipelines.

. Deploy, monitor, and manage models on cloud and on-premise hybrid environments, ensuring scalability and low-latency performance.

. Apply MLOps principles to streamline experimentation, deployment, and version control of ML models.

Data Visualization and Communication

. Develop intuitive web-based dashboards to visualize anomalies and model outputs, supporting business analysis and stakeholder insights.

. Collaborate with regulatory reporting teams to tailor model outputs to compliance needs across MAS, HKMA, EMIR, and other frameworks.

Leadership and Strategy

. Provide technical guidance and support to peers, fostering a collaborative environment and promoting best practices in ML development and deployment.

. Contribute to architecture decisions, promote AI/ML best practices, and lead code reviews and design discussions.

. Collaborate with product owners, business analysts, and technology leads to align model outputs and requirements with business KPIs.

Legal and Regulatory Responsibilities

. Comply with all applicable legal, regulatory and internal Compliance requirements, including, but not limited to, the Singapore Compliance manual and Compliance policies and procedures as issued from time to time Financial Security requirements, including, but not limited to, the prevention of Financial Crime and Fraud including reporting obligations to the Money Laundering Reporting Officer

. Maintain appropriate knowledge to ensure to be fully qualified to undertake the role. Complete all mandatory training as required to attain and maintain competence

Secondary duties:

. Other related duties may be assigned based on evolving needs of the business

Bachelor and above in relevant discipline