- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Machine Learning/AI Engineer.
Urgent! Machine Learning/AI Engineer Job Opening In Singapore, Singapore – Now Hiring Crédit Agricole CIB
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 challenges.
Position
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 seasoned
Machine Learning Engineer
with a strong background in
data science and applied ML , 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
Collaborate with data scientists and business stakeholders to understand use cases and define ML 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 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
5 years of experience
in data science and machine learning, with at least
3+ years in ML engineering roles .
Proven experience in
end-to-end ML lifecycle : data wrangling, model development, deployment, and monitoring.
Strong programming skills in
Python
(pandas, scikit-learn, TensorFlow/PyTorch, etc.).
Strong knowledge in NoSQL databases (any experience in Graph database is desirable)
Experience with
MLOps tools : MLflow, TFX, Airflow, Kubeflow, or similar.
Familiarity with
cloud platforms
(GCP, AWS, or Azure) for 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.
Good to have:
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).
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Banking, Financial Services, and Technology, Information and Media
#J-18808-Ljbffr
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 1468 jobs in Singapore and 1308 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Crédit Agricole CIB is currently hiring and seeking a Machine Learning/AI Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning/AI Engineer Jobs Singapore.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Crédit Agricole CIB adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning/AI Engineer Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning/AI Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Machine Learning/AI Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine Learning/AI Engineer interview at Crédit Agricole CIB, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Crédit Agricole CIB's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Machine Learning/AI Engineer is easy with Singapore Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!