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Job description
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.
- 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.
- 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.
- 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.
- 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
- Other related duties may be assigned based on evolving needs of the business
Company Crédit Agricole CIB
About Crédit Agricole Corporate and Investment Bank (Crédit Agricole CIB) Crédit Agricole CIB is the corporate and investment banking arm of Crédit Agricole Group, the 10th largest banking group worldwide in terms of balance sheet size (The Banker, July 2022). 8,600 employees in more than 30 countries across Europe, the Americas, Asia-Pacific, the Middle-East and North Africa, support the Bank's clients, meeting their financial needs throughout the world. Crédit Agricole CIB offers its large corporate and institutional clients a range of products and services in capital market activities, investment banking, structured finance, commercial banking and international trade. The Bank is a pioneer in the area of climate finance, and is currently a market leader in this segment with a complete offer for all its clients. By working every day in the interest of society, we are a Group committed to diversity and inclusion and place people at the heart of all our transformations. All our job offersare open to persons with disabilities. For more information, please visit www.ca-cib.com Twitter: https://twitter.com/ca_cib LinkedIn: https://www.linkedin.com/company/credit-agricole-cib/ By working every day in the interest of society, we are a group committed to diversity and inclusion. All our positions are open to people with disabilities.
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