Senior AI/ML Engineer (Bank)

GMP Group HQ; Singapore; On-site; SGD 120,000 - 150,000; Full time

Job summary

A leading technology provider in Singapore is seeking an experienced AI/ML Engineer to define and deploy AI solutions. The ideal candidate should have 8+ years of experience in software development and data science, with specific expertise in MLOps and a strong programming background in Python. Responsibilities include collaborating with stakeholders to develop AI solutions, engineering ML models for production, and ensuring adherence to AI governance standards. This role offers opportunities to impact innovative AI applications.

Qualifications

• 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 knowledge in NoSQL databases; experience in Graph database is desirable.

Responsibilities

• Collaborate with business stakeholders to understand use cases and define AI solutions.
• Engineer and deploy ML models into production using MLOps best practices.
• Automate model retraining, testing, and monitoring to ensure performance over time.

Skills

Software development

Data science

ML lifecycle management

Python programming

MLOps tools

NoSQL databases

AI governance

Tools

TensorFlow

PyTorch

MLflow

Airflow

Kubeflow

Docker

Kubernetes

Langchain

LangGraph

vLLM

LMDeploy

Job description

Responsibilities

• 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.

Requirements

• Experience in design and develop AI / ML 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 withLLM Orchestration frameworkslike Langchain, LangGraph, vLLM, LMDeploy.
• Strong knowledge in NoSQL databases (any experience in Graph database is desirable)
• Experience withMLOps 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.