AI/ML Engineer

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 core banking flagships and transverse areas in their large scale 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 challenge.

Position :

This is a direct contract role for 12 months, renewable subject to performance.

In a challenging and multicultural environment, we are looking for a

Machine Learning /AI Engineer

to join our Digital Excellence Centre (DEC) department of Crédit Agricole CIB. The department handles the development of transversal and international projects.

We are looking for a Builder-type

AI Engineer

with a strong background in

Traditional ML and GenAI (LLM,Agentic) , who can design, build, and deploy end-to-end machine learning solutions. This hybrid role requires a hands-on expert who can not only build models when needed but also

engineer scalable, production-grade ML systems

while adhering to the organization's AI governance and compliance standards.

Main responsibilities

As a Senior AI Engineer, you'll be part of growing engineering team and help to build the next generation AI Solutions.

Collaborate with business stakeholders to understand use cases and define AI solution; work on Proof of Concepts wherever needed

Engineer and deploy ML models into production using MLOps best practices (model versioning, monitoring, CI/CD, etc.).

Build & maintain data pipelines and model performance for scalability and maintainability.

Ensure all models adhere to organizational AI policies, responsible AI practices, and audit requirements.

Support data exploration, feature engineering, and occasional model building where needed.

Automate model retraining, testing, and monitoring to ensure performance over time.

Document ML workflows, governance checkpoints, and risk assessments.

Partner with CloudOps,DevOps, IT, and security teams to integrate solutions into enterprise platforms.

The position requires autonomy and reliability in performing duties while maintaining close communication with rest of stake-holders.

Qualifications and Profile

Mandatory:

Have degree or master's degree in the field of AI / ML and data science with proven ability to design and develop models

8+ years of experience

in software development, data science and ML, with at least

3+ years in AI engineering roles .

Proven experience in

end-to-end ML lifecycle : data wrangling, model development, deployment, and monitoring.

Strong programming skills in

Python with Solid knowledge of AI/ML, including LLMs

and data science libraries like pandas, scikit-learn, TensorFlow/PyTorch, etc.

Experience with LLM Orchestration frameworks like Langchain, LangGraph, vLLM, LMDeploy.

Strong knowledge in NoSQL databases (any experience in Graph database is desirable)

Experience with

MLOps tools : MLflow, Airflow, Kubeflow, or similar.

Familiarity with either of

cloud platforms

(GCP, AWS) for AI Solutioning and ML deployment.

Knowledge of

data science

techniques including supervised/unsupervised learning, NLP, time series, etc.

Experience with

CI/CD pipelines

and containerization (Docker, Kubernetes).

Strong understanding of

AI governance, model risk management , and regulatory requirements in AI.

Ability to communicate technical concepts to non-technical stakeholders.

Preferred skills:

Experience with

Responsible AI

frameworks and bias/fairness testing.

Exposure to

feature stores ,

model registries , and

data versioning .

Knowledge of data privacy, anonymization, and compliance in regulated industries (e.g., banking, healthcare).

Other Professional Skills and Mind-set

Ability and willingness to learn and adopt new technologies

Strong organizational and communication skills

Strong analytical and problem solving skills

Awareness of various software development procedures

Ability to follow defined procedures

Understanding and respect of cultural diversity

We offer a competitive remuneration package, consistent with your qualifications and experience.

For fair employment practices, we are keen on

Singaporeans ONLY.

We offer a competitive remuneration package, consistent with qualifications and experience.

Interested applicants, please click on 'APPLY'

Visit us on:

http://www.ca-cib.com/