Roles & Responsibilities
- Optimize the recommendation quality and user profile in Company's website, provide users the best shopping experience;
- Combine your understanding of product objectives and take full advantage of modern machine learning, NLP and Multimodal techniques to improve the recommendation result metrics;
- Work with products and DAs, and other engineers to deliver features to drive the experience optimization of products.
Requirements:
At least 5 years of hands-on experience in recommender systems, with solid understanding of system architecture and core components (e.g., recall, ranking, re-ranking, exploration, cold start);Bachelor degree or above in the field of computer science or a related technical discipline;Proficient coding skills and strong algorithm & data structure basis in Java / Scala;Practical experience in one or more related areas such as NLP, Ads, Search, or Machine Learning;Effective communication and teamwork skills, proficiency in mandarin is a plus, as the role involves collaboration with clients based in China.HOW TO APPLY :
Interested applicants, kindly send your resume in MS WORD format to meiqi.foong@careerfos.com or please click on “Apply Now” and provide the below details in your resume.
Reasons for leaving ALL your employmentCurrent and / or last drawn monthly salary (please provide breakdown)Expected monthly salaryAvailabilityWe regret only shortlisted candidates will be notified.
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Career International - FOS Pte Ltd
EA License No : 14C6926
EA Personnel : Foong Mei Qi
EA Personnel Reg No : R22106936
Tell employers what skills you have
TensorFlow
Machine Learning
Big Data
Pipelines
Data Structures
Mathematics
Keras
PyTorch
MS Word
Python
Statistics
Data Science
Java
Teamwork Skills
System Architecture