AIML Engineer

General information

Entity

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.


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.   

Reference

2025-99897  

Update date

28/04/2025

Job description

Business type

Types of Jobs - IT, Digital et Data

Job title

AIML Engineer

Contract type

Fixed-Term Contract

Job summary

Job Responsibilities

·         Responsible for the design, development, maintenance of applications and systems as well as IT production and management of the Bank's technical infrastructures.

·         At the forefront of technological innovation, its teams provide technical and functional support for the development activities and projects of the various Corporate and Investment Banking professions in an international environment.

Design and development of AI/IA Generative models: Data preparation, feature engineering, training, evaluation, versioning, deployment and monitoring. Select the most appropriate models and techniques based on the available data and the objectives of the projects.
Establish MLOps / LLMOps infrastructure: Define and implement a robust MLOps architecture to ensure the full life cycle of AI and Generative AI models from design to production. Automate model development, deployment and monitoring processes.Ensure the quality, reliability and scalability of models in production.
 

Contribute to realisation of Rest API and development in Python, industrialisation of internal POCs and maintenance of embeddings. Ensure necessary documentation and support handover processes
Work closely with business teams and other project stakeholders  to understand their needs and translate their issues into scientific questions. Communicate the results of the analyses and recommendations in a clear and concise manner.
Coordinate with Cloud Centre of Excellence and Infrastructure teams to ensure project needs are addressed.
Travel: Occasional (specify)

Qualifications and Profile

Candidates should have:

·         Experience required 2 to 7 years  minimum in development of AI/ML technology solutions

·         expertise in machine learning, deep learning, generative AI and MLOps.

·         Knowledge of data management practices to clean, preprocess and transform data sets for model training

·         Mastery of AI algorithms and frameworks (e.g., Tensorflow, PyTorch, Scikit, etc.)

·         Knowledge of GEN AI and LLM technologies on the public Cloud using RAG patterns

·         Understanding the ethical principles to better generate embeddings for GenAI.

·         Expertise in Python, .NET or Java, DevOps / MLOps / LLMOps (GitLab CI/CD, Kubernetes, AWS Cloud, AWS Bedrock, AWS Sagemaker)

Other Professional Skills and Mindset

·         Excellent problem-solving and analytical skills.

·         Effective communication skills and ability to work collaboratively in a team.

·         Excellent Aptitude, Curious to learn and inquisitive.

·         Autonomous, self motivated and excellent team player.

 

Education Requirements

At least a Bachelor’s degree in any of these faculties:

·         Computer Science

·         Information Technology

·         Programming & Systems Analysis

·         Science (Computer Studies)

Position location

Geographical area

Asia, Singapore

City

Singapour

Candidate criteria

Minimal education level

Bachelor Degree / BSc Degree or equivalent

Academic qualification / Speciality

Bachelor and above in relevant discipline 

Level of minimal experience

6-10 years