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About the Role
Capgemini is an AI-powered global business and technology transformation partner. We leverage AI, technology, and people to imagine and realize the future of organizations, delivering end-to-end services and solutions with deep industry expertise and a strong partner ecosystem.
Responsibilities
- Develop, evaluate, optimize, and deploy machine learning models for traffic incident management use cases like anomaly detection, predictive classification, forecasting, or computer vision.
- Manage the entire ML model lifecycle, including data preparation, development, evaluation, deployment, monitoring, retraining, and version management.
- Design and develop Agentic AI systems using LLM orchestration frameworks (e.g., LangChain, LangGraph) with multi-agent coordination, routing, state management, tool use, and multi-step reasoning.
- Develop Agentic AI solutions for real-time traffic incident management, including automated decision support and intelligent workflow automation.
- Integrate and fuse heterogeneous data sources, including structured/unstructured, batch/streaming, geospatial, sensor, CCTV/video, telemetry, and crowdsourced feeds.
- Develop and apply data fusion methodologies to extract insights from multiple real-time data sources.
- Implement and maintain MLOps practices and infrastructure, including deployment pipelines, automated retraining, model monitoring, and drift detection.
- Define and monitor measurable outcomes for ML, Agentic AI, and data fusion solutions, focusing on performance, latency, automation rate, data throughput, and operational improvements.
Requirements
- At least 3 years of relevant experience as a Data Scientist, Machine Learning Engineer, AI Engineer, or equivalent.
- Experience delivering data science and AI solutions in production, proof-of-concept (POC), or proof-of-value (POV) environments.
- Hands-on experience developing, deploying, and optimizing at least 2 machine learning models in a production, POC, or POV environment with quantifiable performance outcomes.
- Experience applying machine learning to real-time traffic incident management, such as anomaly detection, predictive classification, forecasting, or computer vision on live data streams.
- Experience with MLOps, including building automated retraining pipelines or model drift monitoring systems, with ownership of deployment standards and tooling decisions.
- Hands-on experience designing and deploying at least 2 agentic AI systems incorporating LLM orchestration in a production, POC, or POV environment with quantifiable outcomes.
- Experience designing multi-agent architectures incorporating agent coordination, routing, state management, tool use, and multi-step reasoning, applied to traffic incident management.
- Hands-on experience integrating at least 2 heterogeneous data sources across at least 2 projects in a production, POC, or POV environment with quantifiable outcomes.
- Experience working with specialized data types such as geospatial data, sensor data, CCTV/video, or real-time telemetry streams, with a clear description of the data fusion methodology applied.
- Experience with traffic, transport, operations control centre, or incident-management systems is an advantage.
- Experience deploying ML and Agentic AI solutions using cloud and containerized environments is an advantage.
- Experience working with Singapore Government or public-sector data and systems is an advantage.
Skills
- Machine Learning
- MLOps
- Agentic AI
- LLM orchestration
- LangChain
- LangGraph
- Data Fusion
- Geospatial data
- Sensor data
- CCTV/video data
- Real-time telemetry
- Cloud environments
- Containerized environments
Experience Level
- 3 years of relevant experience
Benefits
- Flexible work practices
- 40 hours of self-development annually
- Wide selection of learning opportunities
About the Company
- Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value.
- We imagine the future of organizations and make it real with AI, technology and people.
- We have a strong heritage of nearly 60 years and are a responsible and diverse group of over 420,000 team members in more than 50 countries.
- We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.
- The Group reported 2025 global revenues of €22.5 billion.
- As 'Architects of Positive Futures', Capgemini actively supports the community through Diversity and Inclusion, Digital Inclusion, and Environmental Sustainability initiatives.
- Recognized by Ethisphere as one of the World's Most Ethical Companies for the last 8 years in a row.
- Our seven core values are Honesty, Boldness, Trust, Team Spirit, Freedom, Fun, and Modesty.
Equal Opportunity
- We positively encourage applications from suitably qualified candidates regardless of their gender identity, ethnicity, sexual orientation, religion, ability, intersex status or age.
- Our Employee Resource Groups Women@Capgemini and OutFront support the grassroots passion of employees to drive our diversity agenda and effect change.