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less than a minute ago
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Full time
Salary
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Related skills

sql python machine learning ai spark

πŸ“‹ Description

  • Develop an understanding of Financial Services businesses across regional markets to build scalable
  • Leverage advanced LLMs to power the next generation of payment experiences.
  • Manage the entire end-to-end lifecycle of predictive models and AI agents, from development to
  • Work with engineering, compliance & operation teams to create solutions and product changes
  • Stay current with the latest AI/LLM research and new frameworks and incorporate them into practical
  • Own and drive the design and delivery of AI solutions, balancing model performance with business

🎯 Requirements

  • Expert proficiency in Python, Spark, and SQL (Presto/Hive)
  • Strong command of fundamental machine learning concepts (Bagging, Boosting, Online Learning
  • Hands-on experience with agentic frameworks (LangGraph, LangSmith, LangChain) and LLM orchestration
  • Experience productionizing ML solutions with MLOps tools (MLflow, Kubeflow, SageMaker)
  • Experience deploying scalable ML components on cloud platforms
  • Engineering excellence through clean coding, modular design, and version control (Git/GitHub)

🎁 Benefits

  • Term Life Insurance and comprehensive Medical Insurance
  • GrabFlex – create a benefits package that suits your needs and aspirations
  • Parental and Birthday leave
  • Love-all-Serve-all (LASA) volunteering leave
  • Grabber Assistance Programme for mental health and well-being support

🚚 Relocation support

πŸ›ƒ Visa sponsorship

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