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Lalamove

On-demand last-mile delivery platform

Senior AI Engineer - OCR/VLM focus

Computer VisionConfirmed live in the last 24 hours
Full-timeHong KongNo salary listedIn-person

About the Job

Requirements

  • More than 5 years of hands-on experience implementing high-availability production machine-learning systems.
  • Experience in computer vision, large language models, vision-language models, optical character recognition, and vector databases.
  • Experience building and deploying production-ready machine-learning services.
  • Good command of English and Mandarin.

Responsibilities

  • Collaborate with data scientists and machine-learning engineers to develop and deploy stable machine-learning services in production.
  • Support the team in creating machine-learning solutions that enhance organizational success globally through close collaboration with other teams and departments.
  • Develop and deploy data-driven solutions to make products and services intelligent.
  • Apply machine-learning expertise to computer vision and vision-language model applications, natural language processing and generative AI applications, and structured data modeling.
  • Monitor and evaluate the effectiveness and health of machine-learning solutions.
  • Research state-of-the-art machine-learning technologies to identify potential benefits for the company.

Desired Qualifications

  • Experience with automatic speech recognition and text-to-speech.

About the Company

Lalamove

On-demand last-mile delivery platform

Lalamove is a technology-driven logistics platform that provides on-demand last-mile delivery in urban areas across Asia and the Americas. Its mobile app connects individuals and businesses with a network of drivers to handle fast or scheduled deliveries, ranging from small parcels to bulky items. Deliveries are priced based on distance, weight, and optional services like multiple stops. The service targets a wide range of customers, from individuals to small businesses and large enterprises, and aims to offer a seamless, efficient delivery experience by leveraging its driver network and digital platform.

Company size
5,001-10,000
Company stage
Series F
Total funding
$2.5B
Headquarters
Sham Shui Po District, Hong Kong
Founded
2013

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