Associate AI Scientist / AI Scientist (Document AI) - Artificial Intelligen at SAP
Singapore 117440, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

19 Oct, 25

Salary

0.0

Posted On

20 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

WE HELP THE WORLD RUN BETTER

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

Responsibilities

PURPOSE AND OBJECTIVES

As an Associate AI Scientist you will work together with a team of dedicated experts including AI scientists, data engineers, dev-ops engineers, and architects with a single goal of building the best-in-class AI products. You will work against fixed timelines and your success will be measured by the ability to deliver solutions matching the performance of top-notch artificial intelligence systems.

WHAT YOU’LL DO

  • Design, develop, and validate machine learning models for document information extraction, optical character recognition and layout analysis.
  • Build and maintain scalable training pipelines for machine learning workflows focused on document processing.
  • Collaborate with data engineers on the creation of high-quality annotated datasets, including defining annotation schemas and guiding synthetic data strategies.
  • Experiment with state-of-the-art NLP and computer vision techniques for document understanding, contributing to research projects and translating research into product features
  • Optimize models for accuracy, efficiency, and scalability across cloud-based production environments.
  • Work closely with engineering teams teams to ensure seamless model deployment and monitoring.
  • Stay current with advancements in AI and rapidly apply new techniques to improve model performance and coverage.
  • Contribute to a culture of experimentation, documentation, and reproducibility in applied machine learnin
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