jobs in TANGSPAC CONSULTING PTE LTD

全职 Data Scientist (VP-AVP) 工作, 薪水 up to SGD 10,000, TANGSPAC CONSULTING PTE LTD Islandwide (Singapore) 公司招聘中 - Ricebowl

Data Scientist (VP-AVP)

TANGSPAC CONSULTING PTE LTD

Islandwide (Singapore)

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工作地点

  • Islandwide (Singapore) Singapore

职位描述

岗位职责

Key Responsibilities

  • Design, develop, and deploy machine learning and deep learning models for business applications.

  • Build AI-driven solutions covering recommendation systems, Next Best Action, predictive analytics, portfolio optimisation, and risk modelling.

  • Develop Generative AI applications using LLMs, RAG, Prompt Engineering, and Agentic AI frameworks.

  • Build and maintain scalable AI/ML pipelines and production-ready solutions using MLOps/LLMOps practices.

  • Collaborate with business stakeholders, product owners, and engineering teams to industrialize AI solutions.

  • Contribute to AI Centre of Excellence development, AI governance, and responsible AI adoption.

  • Implement model monitoring, explainability, performance optimization, and data quality practices.

Key Requirements

  • Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.

  • 3–7+ years of hands-on experience in Data Science, AI, or Machine Learning.

  • Strong programming skills in Python and SQL.

  • Experience with machine learning, Deep Learning, NLP, and frameworks such as PyTorch, TensorFlow, and Scikit-learn.

  • Hands-on experience with Generative AI, LLMs, RAG, Prompt Engineering, and Agentic AI.

  • Familiarity with LangChain, LangGraph, vector databases, and embedding models.

  • Experience with cloud platforms (AWS/Azure/GCP), Docker, Kubernetes, CI/CD, and MLOps/LLMOps.

  • Experience developing and deploying AI/ML models in production environments.

Preferred Experience

  • Banking, Financial Services, or Wealth Management domain experience.

  • Exposure to investment analytics, portfolio optimisation, recommendation systems, or personalisation.

  • Experience in AI governance or setting up an AI Centre of Excellence.

  • Strong stakeholder management and communication skills.

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