We are looking for Recommender System Engineers at different levels (junior / senior) to build our Recommender System Platform that will be an essential part of a numerous company products. We’d love to have people who are passionate with Recommender System and research to co-operate with our Data engineer and Product Manager in order to deliver a product that truly drive our startup forward.

Responsibilities:
+ Being experienced from the beginning of the research and development process of the Recommender System Platform in the form of the first RSaaS in Vietnam.
+ Being experienced from the beginning of the research and development process of the Recommender System Platform in the form of the first RSaaS in Vietnam.
+ Experience big challenges projects: Handling problems with huge and diverse data in text, image, video, audio formats …
+ Research the latest algorithms for recommender systems in various fields: fashion, e-commerce, education, real estate, …

Your Skills and Experience
1. Important:
+ Graduated University or Masters degree in Computer Science, Applied Mathematics, Machine Learning and related fields.
+ Good mathematical and logical thinking, preferring to work with algorithms and data to solve practical problems.
+ Having interest in the recommendation system problem, having previously learned about suggestion methods and problems related to recommender optimization is a plus point. Priority to you who have participated in the recommender construction contests with prizes or related articles
+ Familiar with deep learning frameworks such as Tensorflow, Keras, PyTorch, …
+ Working well with English

2. Nice to have:
+ Master Degree or higher
+ Knowledge of databases. Experience with NoSQL databases like MongoDB and HBase is an advantage
+ Experience with big data frameworks like Hadoop is an advantage

Why You’ll Love Working Here:

+ Competitive Salary + lots of benefits
+ Join in AI contests
+ Participate in and co-name international paper of the team.
+ Competitive remuneration, fair evaluation mechanism.
+ Free working environment, stimulating creative thinking.
+ Work empowerment culture.
+ Working time is extremely flexible.
Interested Candidates kindly send CV to: tuyendung@ftech.ai