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Strong employer brand, metro location, and a mid-level ML/AI role with broad responsibilities.
Specialized LLM, fintech domain and MLOps requirements make industry transfer moderately constrained.
Explicit 5+ years plus mandatory ML/LLM, MLOps, cloud, and specific tooling requirements.
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Build and manage end-to-end predictive models and AI agents focused on payment optimization, agent-native operations, and customer-facing conversational AI in financial services.
Leverage advanced LLMs and generative AI techniques to power next-generation payment experiences and deploy scalable AI solutions across Southeast Asian markets.
Collaborate with engineering, compliance, and operations teams to design, deploy, and optimize AI-driven product changes and solutions.
5+ years of work experience in data science or related roles.
Expert proficiency in Python, Spark, SQL (Presto/Hive) and core ML concepts like Bagging, Boosting, Online Learning, and Recommendation Engines.
Hands-on experience with generative AI agent frameworks such as LangGraph, LangSmith, or LangChain and LLM orchestration.
Proven skills in MLOps and production deployment using tools like MLflow, Kubeflow, SageMaker, with strong engineering practices including clean coding and version control.
Experienced individual contributor capable of managing full lifecycle of AI/model development from concept to production in a flat team structure.
Deep domain understanding of financial services and regional Southeast Asian payment ecosystems to build market-fit scalable AI solutions.
Strong technical operator with a balanced approach to model performance, business trade-offs, scalability, and latency considerations.