AI/ML Engineer Intern

This is a 6-month full-time internship program starting from 21 July 2025.

Who we are

Crédit Agricole Corporate and Investment Banking (Crédit Agricole CIB) is the corporate and investment banking arm of Crédit Agricole Group, world’s 10th largest bank by total assets.

Our Singapore center (“ISAP” or “Information Systems Asia Pacific”) is the 2nd largest IT setup (after Paris Head Office)” for Crédit Agricole CIB's worldwide business. We work daily with international branches located in 30 markets by:

• Envisioning and preparing the Bank’s futures information systems
• Partnering and supporting banking business and transverse areas in their development projects
• Providing premium In-house Banking applications

This unique positioning empowers us to bring our core banking business a sustainable competitive advantage on the market.

We seek innovative and agile people sharing our mindset to support ambitious and forthcoming technological challenges.

Mission Objectives:

Automate Data Collection and Preparation: Develop ELT process to automatically collect and preprocess data from various sources like Kafka, MongoDB, Postgres and SQL server, ensuring data integrity and consistency for AI/ML model training.

Model Development and Deployment: Design, develop, and deploy AI/ML models using frameworks such as TensorFlow, PyTorch, and scikit-learn. Ensure models are integrated seamlessly into existing systems.

Implement MLOps Practices: Set up CI/CD pipelines to streamline the development, training, deployment, and evaluation of AI/ML models. Automate the retraining of models based on new data.

Enhance Data Visualization and Reporting: Improve the visualization of model outputs and data insights using advanced styling techniques, dashboards, and interactive charts. Generate regular performance reports.

Collaborate and Document: Work closely with cross-functional teams to align AI/ML initiatives with business objectives. Document the entire process, including data collection, model development, deployment, and performance evaluation.

Benefits:

• Hands-on experience in a real-world DevOps environment.
• Opportunity to work on meaningful projects and make an impact.
• Mentorship and guidance from experienced professionals.
• Networking opportunities within the industry.
• A Certificate and a letter of Completion.
• Full time employment offer after successful completion of program.