Oliver Wyman - AI Engineer, Singapore
SGD 115K-170K (estimate) Mid-level Full Time
Tasks
- Apply model monitoring and evaluation
- Build and deploy machine learning models
- Build vector retrieval architectures
- Coordinate agile stakeholder delivery
- Create agentic workflows
- Deploy AI solutions on cloud platforms
- Design enterprise AI solutions
- Design scalable data pipelines
- Develop LLM applications
- Ensure responsible AI governance
- Implement MLOps and LLMOps pipelines
- Implement retrieval-augmented generation
- Integrate structured and unstructured data
- Manage containerized services
- Set up CI CD automation
- Support security and privacy controls
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Agentic Workflows | Automated testing | Bias Mitigation | CI/CD | Cloud platform | CrewAI | Docker | ELT | ETL | Experiment tracking | Generative AI | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Microservices | Microsoft Azure | Model Governance | Monitoring | NoSQL | Observability | Prompt engineering | Python | Relational databases | Retrieval-Augmented Generation | Security Compliance | Vector Databases | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer
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