Data Scientist – Real-Time AI & Agentic Systems

Capgemini; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Job summary

Capgemini Singapore is seeking an experienced Data Scientist/ML Engineer to develop, evaluate, and deploy ML models for real-time traffic incident management. You will manage model lifecycles, implement Agentic AI systems, and integrate diverse data sources to drive measurable outcomes.

The role requires 3+ years in data science/AI and hands-on production experience. Join Capgemini to work on cutting-edge AI solutions, leveraging MLflow, Kubeflow, and SageMaker in a collaborative,

Qualifications

• At least 3 years of relevant experience.
• Experience delivering data science/AI solutions in production, POC, or POV environments.

Responsibilities

• Develop, evaluate, optimize, and deploy ML models for real-time traffic incident management.
• Manage ML model lifecycle from data prep to monitoring and retraining.
• Design and develop Agentic AI systems using LangChain/LangGraph or equivalent frameworks.
• Integrate diverse data sources including geospatial data, sensors, CCTV/video, and telemetry.
• Define and monitor outcomes for ML/Agentic AI and data fusion solutions.

Skills

Data Science

Machine Learning

Production Deployment

Tools

MLflow

Kubeflow

SageMaker

Job description

Capgemini Singapore is seeking an experienced Data Scientist/ML Engineer to develop, evaluate, and deploy ML models for real-time traffic incident management. You will manage model lifecycles, implement Agentic AI systems, and integrate diverse data sources to drive measurable outcomes.

The role requires 3+ years in data science/AI and hands-on production experience. Join Capgemini to work on cutting-edge AI solutions, leveraging MLflow, Kubeflow, and SageMaker in a collaborative,