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Company Name : Bayut & Dubizzle

About Company :

Bayut and Dubizzle are two of the most well-known brands in the UAE. They are both homegrown and have a strong presence in all seven emirates. We are committed to giving the best online search experience to the millions of users we connect across the country.

As part of EMPG, we work with some of the best classifieds brands on the market. We have more than 200 million monthly users who trust us to give them the best platform for their needs.

This is because we have 10 brands that work well together.

At Bayut dubizzle, our Senior Data Scientists work on exciting projects that cover the entire Data Science lifecycle, from cleaning and exploring raw data with primary and third-party systems to developing advanced data visualisation and machine learning.      

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BEL Recruitment 2022 for Project Engineers – Last Date 04.08.2022

Designation:  Project Engineer                               

Educational Qualifications:

B.E. / B.Tech in Electronics / Electronics & Communication / Communication / Electronics & Telecommunication / Telecommunication / Computer Science/ Computer Science Engg./ Computer Science & Engineering / Information technology / Information Science

Job Location: PAN INDIA                              

Salary Details  : As per the Company Standard

Job Description :   

Project Engineer will be engaged initially for a period of THREE years which may be extended up to maximum of ONE year (Maximum tenure of 4 years) based on project requirement and individual performance. Candidates will be paid a consolidated remuneration per month of Rs.40,000/-, Rs.45,000/-, Rs.50,000/- and Rs.55,000/- for the 1st , 2nd , 3rd and 4th year of contract respectively.


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  • Master’s degree in AI, Statistics, Math, Operations Research, Engineering, Computer Science, or a related quantitative field
  • 2+ years of working experience in Machine Learning
  • Experience with AWS is a plus.
  • Excellent in statistical modeling and math
  • Intermediate knowledge of Python’s ML stack: Pandas, Matplotlib, Sklearn, Tensorflow.
  • Intermediate knowledge of machine learning algorithms such as Linear regression, Gradient boosted trees, Neural networks.
  • Basic knowledge of SQL and experience handling large datasets.
  • Basic knowledge of visualization tools such as Periscope.
  • Basic knowledge of statistical analysis and A/B testing.

Salary Details  : As per the Company Standard

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Job Description :

  • Work on regression and classification problems on tabular, textual and image data.
  • Work on forecasting, anomaly detection and time-series analysis.
  • Build recommendation engines.
  • Query large datasets in AWS Redshift to extract the necessary data that will feed ML models.
  • Perform data exploration to find patterns in the data and understand the state and quality of the data available.
  • Utilize Python code for analyzing data and building statistical models to solve specific business problems.
  • Evaluate ML models and fine tune model parameters considering the business problem behind.
  • Collaborate with senior peers to Deploy ML models into production that work as standalone data services.
  • Build customer-facing reporting tools to provide insights and metrics which track system performance.
  • Participate in the off-hours on call stability rota to support live ML models
  • Own at least one ML product that is in production

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