The Job

We are looking for an individual to improve our ML-driven recommender system products, help us develop new solutions and unlock new directions, as well as analyse and optimise the systems we already built:

  • Ersonalized main page;
  • Recommend news;
  • Push notifications;
  • Demographic prediction;
  • Ads system using Reinforcement Learning.

Your Skills and Experience

  • Translate functional needs into specifications, design and develop the product, service or process;
  • Analysis of collected data to develop computational models, design processing systems and storing Big Data to databases;
  • Build Machine Learning system, AI and suitable Recommendation System matching the given problem;
  • Set up the test and validation phases, correct and improve the product, service or process;
  • Work with engineering and architecture teams to design and implement scalable software services;
  • B.S. degree in Computer Science or a related quantitative field;
  • 1+ years of experience in one or more of the following areas: machine learning, recommendation systems, computer vision, natural language processing;
  • Knowledge developing and debugging in one or more following programming languages: Python, Java, C/C++ including object-oriented design;
  • Experience using frameworks such as Tensorflow, PyTorch, Caffe2, Keras;
  • Basic knowledge of database systems (Cassandra, Hive, Redis)

Preferred Qualifications

  • Experience building systems based on machine learning (especially deep learning) methods;
  • Experience with feature engineering and storing (Spark, Hadoop);
  • Strong development experience in the Linux environment;
  • Firsthand experience with deploying and maintaining ML or Recommender systems and services in production at scale;
  • Good knowledge of Git

Why you'd love working here

  • Meaningful work with passionate colleagues;
  • Attractive compensation, regular assessments and salary reviews;
  • Year-end bonus & performance bonus;
  • 15 to 20+ paid day off per year;
  • Attractive benefits for team activities (team building, team outing, sport, trade union activities);
  • Very nice & open office with full of accessories for active recreation, sport, fruits, coffee and tea;
  • We create a environment where you can be best of yourself, grow with us and together we make it works. 
Thông tin liên hệ
Email: tuyendung@g-group.vn | Sđt: 02473 066 222
 
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