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5 дней назад

Machine Learning Engineer (AI)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
middle
Английский
c1
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Machine Learning Engineer (AI): Developing and enhancing production-ready data science applications and new AI services with an accent on designing robust AI solutions and maintaining high-load data pipelines. Focus on researching and adapting machine learning algorithms for specific business needs and performing predictive modeling.

Location: Remote

Company

hirify.global is a leading technology company founded in 1999, listed on the London Stock Exchange, providing innovative B2B products and services to the regulated gaming market.

What you will do

  • Develop and deploy production data science applications in Python.
  • Design and build new AI services from conception to deployment.
  • Maintain and enhance existing data science pipelines for high-load systems.
  • Collaborate with R&D and DevOps teams to integrate solutions.
  • Research, invent, and adapt machine learning algorithms for business needs.
  • Perform predictive and statistical modeling and ad-hoc analyses.

Requirements

  • Minimum of 3 years of experience as a Python developer (PyCharm, Git, debugging).
  • Minimum of 3 years of experience in predictive modeling within data science production services.
  • At least 3 years of experience in tabular or time series data analysis.
  • Proficiency in SQL for data manipulation and visualization.
  • English: High level of proficiency required.
  • Bachelor's degree in Engineering, Economics, Mathematics, Statistics, or similar.

Nice to have

  • Experience in REST API and cloud deployment (AWS or GCP).
  • Master's degree in Engineering, Economics, Mathematics, Statistics, or similar.
  • Experience in direct communication with business stakeholders.

Culture & Benefits

  • Opportunity to develop personalized recommendations and churn mitigation strategies.
  • Work in a data-driven environment focused on insightful reports.
  • Access to cutting-edge technologies and continuous innovation.
  • Commitment to responsible user experiences and inclusive teams.

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