Machine Learning /AI Engineer

This role is with one of the leading French global banks, with a strong presence in Singapore and IT hubs across Asia-Pacific. The bank is recognized for innovative digital banking solutions, enterprise modernization, and leveraging AI/ML to drive strategic advantage globally.

We are looking for a Senior AI/ML Engineer to join a dynamic engineering team working on advanced AI solutions in a challenging and multicultural environment. This is a hands-on role for someone who can not only build ML models but also engineer scalable, production-grade systems while adhering to AI governance and compliance standards.

Key Responsibilities

• Collaborate with business stakeholders to understand use cases and define AI solutions; work on Proof of Concepts as required.
• Engineer and deploy ML models into production using MLOps best practices (model versioning, monitoring, CI/CD, etc.).
• Build and maintain data pipelines and ensure 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.
• 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.

Mandatory Qualifications

• Bachelor’s or Master’s degree in AI, ML, Data Science, or related field.
• 8+ years in software development, data science, and ML, including 3+ years in AI engineering roles.
• Proven experience across the end-to-end ML lifecycle: data wrangling, model development, deployment, and monitoring.
• Strong programming skills in Python, including libraries like pandas, scikit-learn, TensorFlow/PyTorch.
• Experience with LLM orchestration frameworks such as Langchain, LangGraph, vLLM, or LMDeploy.
• Strong knowledge of NoSQL databases (Graph databases desirable).
• Experience with MLOps tools: MLflow, Airflow, Kubeflow, or similar.
• Familiarity with cloud platforms (AWS/GCP) for AI solutioning and deployment.
• Experience with CI/CD pipelines and containerization (Docker, Kubernetes).
• Strong understanding of AI governance, model risk management, and regulatory requirements.
• Ability to communicate technical concepts to non-technical stakeholders.

Preferred Skills

• Exposure to Responsible AI frameworks and bias/fairness testing.
• Knowledge of feature stores, model registries, and data versioning.
• Awareness of data privacy, anonymization, and compliance in regulated industries.

Tamanna Bilandi

EA Licence No. 91C2918

Personnel Registration No. R2096241