Вакансия Python Data Engineer / AI and ML

2 вакансии
Специализация: Python
Уровень: Middle
Опыт: 1 год
Уровень английского: Не важно
Город: Минск
Размер команды: 6—8
Размер компании: 30
Возможна удалённая работа: Да

MEG Analytics is a technology company specializing in trading, risk analytics and artificial intelligence software. The core business of MEG Analytics is providing custom and bespoke analytics solutions to leading financial organisations.

Our research center MEG Labs based in London, UK focuses on exploring current of expertise and creating our own products and intellectual industry-platforms.

For our new AI team we are looking to expand with talents in Belarus with experience in Maching Learning, Python and Data Science. You will be working on a greenfield project enhancing our new platform in Natural Language Processing, Data Capturing, Content Understanding and Information Retrieval domains. 

Your Role:

You will be responsible for design and engineering aspects of innovative projects related to automatic structuring and understanding of unstructured content. In your role you will be working with applying your knowlegde to intelligent models and producing analytics from unstructured content. 

Your duties will include: 

  • Owning the vision and development of data engineering aspects of the projects with Natural Language Processing and Data Capturing 

  • Developing ML models to capture meta data from financial documents and tools around deployment of ML-based components to production pipeline 

About You:

You are a talented engineer who is addicted to complex problems and analytical mindset. Your required qualifications and experience include: 

  • Strong coding and software engineering skills 
  • Python programming experience
  • Analytical mindset
  • Developed skills in algorithms and data structures 
  • Ideally experience with textual data engineering   

What we offer :

  • Open and flexible work environment
  • Remote work
  • Possibility to build up a new AI team
  • Development own unique AI-driven products that are loved by world top companies
  • Great colleagues and open atmosphere 
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