Senior Data Scientist, Computer Vision & Multimodal AI

GrabTaxi Holdings Pte. Ltd.

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Term Life Insurance
Medical Insurance
GrabFlex benefits
Parental leave
Birthday leave
LASA volunteering leave
Grabber Assistance Programme
FlexWork with differentiated hours

Job summary

Grab in Singapore is seeking a Senior Data Scientist specializing in Computer Vision and Multimodal LLMs to join our Singapore One North office. You will focus on building advanced models for precise OCR, KYC verification, and document/image information extraction to strengthen onboarding and risk workflows.

You will work with a hands-on data science team to deploy production-ready solutions, iterate on performance, and collaborate with product and operations to translate research into tangible

Qualifications

  • Degree in CS, ECE, Mathematics or related technical discipline.
  • At least 3 years in tech/academia with similar role.
  • Proficiency in Python, Spark and SQL; familiarity with version control (Git) and SDLC.
  • Experience with TensorFlow or PyTorch.

Responsibilities

  • Build, train and fine-tune state-of-the-art OCR and Vision LLMs.
  • Architect and own end-to-end document processing pipelines (KYC/onboarding).
  • Deploy models to production with monitoring for latency and throughput.
  • Research and prototype multimodal AI advancements for product impact.
  • Explain model trade-offs and findings to product, policy and operations teams.

Skills

Python
Spark
SQL
Git

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow
PyTorch

Job description

Grab in Singapore is seeking a Senior Data Scientist specializing in Computer Vision and Multimodal LLMs to join our Singapore One North office. You will focus on building advanced models for precise OCR, KYC verification, and document/image information extraction to strengthen onboarding and risk workflows.

You will work with a hands-on data science team to deploy production-ready solutions, iterate on performance, and collaborate with product and operations to translate research into tangible

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