- Well-funded Fast fashion Startup
- Cutting Edge AI technologies
About Our Client
Our client is a very ambitious and well-funded fast fashion e-commerce company with already 10 years' in the internet fashion industry and experience; they have made their way and have become super successful in major European and America and Asian markets.
With a global mind-set and leading business model, they are coming now to Singapore and setting up their first SEA office. Singapore office will be their international headquarter.
You will be working as the lead algorithm engineer candidates on recommendations on their main sites; as this is a fast fashion e-commerce industry, your knowledge and expertise in high tech recommendations will be put into really good use; you will be researching and implementing the best recommendations models onto their main pages to drive for traffic and conversion rate; you will also be involved in leadership and strategic discussions with the regional leaders as Singapore is their international headquarter.
The Successful Applicant
Below requirements are the background needed:
- Computer, electronics, automation and other related majors, or relevant years of experience in the Internet industry
- Relevant background in search and recommendations related field
- Strong programming foundation, familiar with at least one scripting language such as python, and familiar with c/c++ programming
- Familiar with the basic theories of machine learning and Deep Learning, Multi-task learning, MultiModal Machine Learning, Reinforcemen learning are preferred, search and recommendations
- Familiar with at least one deep learning framework such as CNTK, caffe, tensorflow, mxnet, etc., and familiar with machine learning libraries such as scikit-learn, tensorflow, Keras, Theano
- Passionate about search & recommendations technologies
What's on Offer
There are mainly 3 great aspects on the offer here:1. fast career progression and ownership due to early stage regional office set-up nature2. Great company culture (flexible working hours)3. cutting edge technologies and market leading products