Machine Learning Engineer
Cloudyfox Technology
We are a Kathmandu based Digital Agency specialized in Software development, digital marketing, mobile application development, product development and many more. We are now working for  local as well as international business sectors in terms of web and mobile industry. Currently we are looking for energetic and competent candidate for the following position:

Machine Learning Engineer

Views: 466 | This job expired 2 weeks, 3 days ago

Basic Job Information

Job Category : IT & Telecommunication
Job Level : Senior Level
No. of Vacancy/s : [ 1 ]
Employment Type : Full Time
Job Location : Anamnagar, Kathamndu
Offered Salary : Negotiable
Apply Before(Deadline) : Feb. 11, 2020 23:55 (2 weeks, 3 days ago)

Job Specification

Education Level : Bachelor
Experience Required : More than or equals to 2 years
Other Specification

Qualification:

  • Ability to analyze data & solve problems
  • General theory and algorithm of skilled recommendation model (sort model, click prediction, recall models, user images, deep learning, etc) at least 2 years of work experience
  • SVD, GBM, XGB, GBDT, LTR, word2vec, CRF, LSTM, etc
  • Familiarity with general algorithms
  • Skillfully grasp the basic theory and method of machine learning and deep learning and work on natural language processing practical application experience
  • One of tenssorflow, caffe, mxnet, pytorch, etc or expert in using multiple deep learning framework

Eligibility:

  • English
  • Computer, mathematics, machine learning, statistics, natural language processing or related majors, master’s or doctor’s degree, work experience welcome
  • Spark, hadoop those who are familiar with distributed computing method programming
  • Experience in related projects such as content introduction, product introduction and advertisement introduction

Job Description

  • Development and optimization of algorithms for contents, EC sites, advertisements, etc.
  • Top news, community, live broadcast, video, advertisement, etc
  • Architecture R & D
  • Supports data and requests to ensure accurate recommendation of related products
  • Recall of initial screening, estimation of click rate, development & optimization of recommended sorting model
  • System data analysis, scenario strategy, quality monitoring and high concurrency coordination
  • Realization of commercialization by recommendation system
  • Create scenario images, user images and behavior models
  • Introduce advance technology to the industry to improve the recommendation effect

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