Applied AI Data Scientist — End-to-End ML & LLMs

SAP SE

Singapore

On-site

SGD 70,000 - 110,000

Full time

14 days+

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Job summary

SAP SE is seeking a Data Scientist with 3+ years of experience to join our team in Singapore. You will help deliver end-to-end AI solutions for customer support use cases, from requirements through production deployment.

You will work with data engineers, ML engineers, and software developers to build scalable AI services and pipelines. The role emphasizes hands-on data science, model development, evaluation, and collaboration with stakeholders to translate requirements into production-ready AI

Qualifications

  • 3+ years of experience in machine learning or applied AI.
  • Bachelor's or higher in Data Science, AI or equivalent.
  • Strong Python and data science skills: data analysis, feature engineering, model development, evaluation and experimentation.

Responsibilities

  • Understand business and technical requirements for AI/data science in the Support Delivery domain.
  • Develop AI-powered services for customer support use cases (case analysis, knowledge retrieval, recommendations, classification, automation).
  • Deploy models and algorithms from experimentation to production with ML engineers and developers.
  • Design data and ML pipelines and microservices as needed.
  • Analyze large-scale structured and unstructured data to improve model performance and derive insights.

Skills

Python
SQL
Spark
Elasticsearch
Machine Learning

Education

Degree in Data Science/AI or equivalent

Tools

Spark
Elasticsearch

Job description

SAP SE is seeking a Data Scientist with 3+ years of experience to join our team in Singapore. You will help deliver end-to-end AI solutions for customer support use cases, from requirements through production deployment.

You will work with data engineers, ML engineers, and software developers to build scalable AI services and pipelines. The role emphasizes hands-on data science, model development, evaluation, and collaboration with stakeholders to translate requirements into production-ready AI

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