AI / ML Engineer

Crédit Agricole CIB; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading financial institution in Singapore is seeking an experienced AI/ML Systems Design and Development professional. This role involves enhancing anomaly detection systems, developing machine learning pipelines, and deploying services on cloud platforms. The ideal candidate should have a strong background in machine learning frameworks and compliance with regulatory requirements. Collaborating with teams to deliver insights and maintain low-latency performance will be key aspects of the position.

Qualifications

• Experience in designing and deploying machine learning models with cloud technologies.
• Proficiency in AI/ML frameworks like TensorFlow and PyTorch.
• Knowledge of compliance regulations in the financial sector.

Responsibilities

• Enhance intelligent anomaly detection pipelines with ML models.
• Build scalable machine learning pipelines and deploy inference services.
• Develop web-based dashboards for business analysis.

Skills

Machine Learning

Data Visualization

Collaboration

MLOps

Java Spring Boot

Python

AWS

MongoDB

Tools

TensorFlow

PyTorch

Scikit-learn

React

AWS SageMaker

Job description

Description du poste

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