Production-Ready Computer Vision & AI Scientist

GoPay

Singapore

On-site

SGD 90,000 - 130,000

Full time

10 days ago

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Job summary

GoTo Financial is seeking a Data Scientist specializing in deep learning to advance computer vision, voice, and text processing, deploying scalable models in production.

You will design, train, and optimize models, develop tests and documentation, and communicate requirements between business and engineering teams.

Join a diverse team focused on AI-driven financial solutions and stay at the forefront of research while delivering measurable business impact.

Qualifications

  • 3+ years in deep learning with computer vision, voice and text processing.
  • Proficient in data preprocessing, model training, evaluation and optimisation.
  • Experience deploying deep learning models in production.
  • Proficient with PyTorch; familiar with Python and C++; NCNN experience.
  • Experience with cloud platforms such as GCP or AWS; Android/iOS a plus.
  • Strong communication and ability to write clear technical documentation.

Responsibilities

  • Work with data like images, videos, audio, and text.
  • Design, train, optimise, and deploy deep learning models on GPU.
  • Develop unit tests and documentation; evaluate and benchmark models.
  • Communicate requirements between business and engineering teams.
  • Own end-to-end process from problem definition to deployment.
  • Stay current with latest DL and AI advancements.

Skills

Deep learning
Computer vision
Model deployment
PyTorch
Python
C++

Tools

NCNN
GCP
AWS

Job description

GoTo Financial is seeking a Data Scientist specializing in deep learning to advance computer vision, voice, and text processing, deploying scalable models in production.

You will design, train, and optimize models, develop tests and documentation, and communicate requirements between business and engineering teams.

Join a diverse team focused on AI-driven financial solutions and stay at the forefront of research while delivering measurable business impact.

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