ML/AI Engineer

ML/AI EngineerWork location- Paya LebarThe ML/AI Engineer is embedded within Data Analytics and AI Division (DSAD), working as part of the division's Fraud Analytics Model (FAM) team.Experience: 3–5 years of hands-on experience building and deploying ML/AIapplications. This must include at least one LLM-enabled system delivered beyondprototype into operational use.B. Technical & Professional Competencies• Strong Python software engineering capability, including API development,testing, version control and modular system design.• Hands-on experience building and deploying ML/AI applications, including atleast one LLM-enabled or agentic AI solution beyond proof-of-concept stage.• Experience with LLM applications, retrieval, tool use, workflow orchestration ormulti-agent frameworks such as LangGraph, CrewAI or equivalent.• Experience integrating AI/ML solutions with enterprise data platforms, databases,APIs or cloud services.• Ability to design and implement systematic evaluation frameworks for AI systems,including testing, benchmarking, observability and reproducibility.• Working knowledge of AI governance, security and Responsible AI practices,including human-in-the-loop controls, access management, auditability andsafeguards against misuse.Preferred (Advantageous)• Experience with AWS services such as Bedrock, Redshift, Glue, S3, Lambda orrelated cloud-native services.• Experience with PySpark, Databricks or large-scale data processing and featureengineering pipelines.• Experience with CI/CD, containerisation, MLOps or model deployment tooling(e.g. Docker, MLflow, GitHub Actions, Jenkins).