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8 Nov 2023

Machine Learning Engineer at Brites Management

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Job Description

Brites Management Services Limited is one of the best leading Recruitment and HR consultancy companies in Nairobi, Kenya. We are registered and incorporated under Companies Act (Cap. 486) and we provide a complete range of HR Solutions. Our sole focus is to simplify the complexities of the HR department and help companies concentrate on the core business as we handle HR tasks more efficiently and accurately.

Duties and Responsibilities

  • Building scalable machine learning systems and data driven products working with cross-functional teams
  • Selecting appropriate databases and data representation methods that ensure successful testing of machine learning models
  • Analyzing highly complex business requirements, design and writing technical specifications to design or redesign complex applications.
  • Building machine-learned models in areas such as user segmentation, personalized recommendations, conversion rate prediction of visiting customers, or time series demand forecasting
  • Supervising design and code reviews
  • Building scalable production systems for data collection, data transformation, feature extraction, model training and scoring
  • Developing innovative patentable ideas that ensures the competitiveness of products and services within the domain of similar work being done in the industry
  • Developing new machine learning models using structured and unstructured data
  • Building entity resolution platforms that can identify references to companies, brands and products in highly unstructured digital documents and linking them back to real world entities

Key Requirements Skills, experience and qualification

  • Over 5 years relevant experience in a busy company
  • Degree/Diploma mechanical engineering or relevant field


Method of Application

Submit your CV, copies of relevant documents and Application to  [email protected]
Use the title of the position as the subject of the email

Closing Date : 30 November. 2023





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