Browse
Employers / Recruiters

Machine Learning Engineer

lalamove · 30+ days ago
Negotiable
Full-time
Continue
By pressing the button above, you agree to our Terms and Privacy Policy, and agree to receive email job alerts. You can unsubscribe anytime.
At Lalamove, we believe in the power of community. Millions of drivers and customers use our technology every day to connect with one another and move things that matter. Delivery is what we do best and we ensure it is always fast and simple. Since 2013, we have tackled the logistics industry head on to find the most innovative solutions for the world’s delivery needs. We are full steam ahead to make Lalamove synonymous with delivery and on a mission to impact as many local communities we can. We have massively scaled our efforts across Asia and now have our sights on taking our best in class technology to the rest of the world. And we are looking for talented professionals to join us in this journey!!

What you'll do

  • Collaborate with a team of data scientists and machine learning engineers to develop and deploy stable machine learning services in production.
  • Support the team to create ML solutions that empower and enhance organizational success globally by closely collaborating with other teams and departments
  • Be responsible for making our products and services intelligent by developing and deploying data-driven solutions.
  • Tackle a variety of challenges using your machine learning expertise, such as: Driver Selection Models, Fraud Detection, Vehicle Routing Problem, NLP and Generative AI Applications
  • Monitor and evaluate the effectiveness and healthiness of our solutions.
  • Research state-of-the-art machine learning technologies to identify potential benefits for the company.

What you'll need

  • More than 1 year of hands-on experience implementing high availability production machine learning systems.
  • Experience with AWS (S3, SageMaker, Rekognition).
  • Experience in one or more of the following: Structured Data Modeling, Computer Vision, NLP, Large Language Models and Recommendation Systems.
  • Experience with data processing and machine learning frameworks and libraries (e.g. pandas, Sklearn, XGBoost, TensorFlow etc.).
  • Experienced in building and deploying production-ready machine learning services.
  • Proficiency in Python and SQL. Knowledge of Java or C++ is a plus.
  • Good command of English; proficiency in Mandarin or Cantonese is a plus.


To all candidates- Lalamove respects your privacy and is committed to protecting your personal data.
This Notice will inform you how we will use your personal data, explain your privacy rights and the protection you have by the law when you apply to join us. Please take time to read and understand this Notice. Candidate Privacy Notice: https://www.lalamove.com/en-hk/candidate-privacy-notice

Last updated on Jan 14, 2025

See more

About the company

More jobs at lalamove

Analyzing

More jobs like this

Analyzing

Kowloon

 · 

30+ days ago

 · 

30+ days ago

 · 

30+ days ago

 · 

30+ days ago

Windows System Engineer - Level II
IB
Interactive Brokers ·  Online trading and investing platform

Hong Kong Island

 · 

30+ days ago

 · 

30+ days ago

 · 

30+ days ago

 · 

30+ days ago

 · 

30+ days ago

 · 

30+ days ago

Developed by Blake and Linh in the US and Vietnam.
We're interested in hearing what you like and don't like! Live chat with our founder or join our Discord
Changelog
🚀 LaunchpadNov 27
Create a site and sell services based on your resume.
🔥 Job search dashboardNov 13
Revamped job search UI with a sortable grid, live filtering, bookmarks, and application tracking.
🫡 Cover letter instructionsSep 27
New Studio settings give you control over AI output.
✨ Cover Letter StudioAug 9
Automatically generate cover letters for any job.
🎯 Suggested filtersAug 6
Copilot suggests additional filters above the results.
⚡️ Quick applicationsAug 2
Apply to jobs using info from your resume. Initial coverage of ~200k jobs in Spain, Germany, Austria, Switzerland, France, and the Netherlands.
🧠 Job AnalysisJul 12
Have Copilot read job descriptions and extract out key info you want to know. Click "Analyze All" to try it out. Click on the Copilot's gear icon to customize the prompt.
© 2024 RemoteAmbitionAffiliate · Privacy · Terms · Sitemap · Status