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Machine Learning Intern (Machine Learning)

Формат работы
onsite
Тип работы
project
Грейд
trainee
Английский
b2
Страна
UAE
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Machine Learning Intern (Machine Learning): Developing machine learning models and customer-facing reporting tools in a cloud-based data warehousing environment with an accent on SQL, Python, statistical modeling, and data exploration. Focus on evaluating and fine-tuning models, deploying them to production, and supporting live ML models through an on-call rotation.

Location: On-site in Dubai, United Arab Emirates

Company

hirify.global & dubizzle operates a homegrown digital platform serving more than 5 million users in the UAE and other regional markets.

What you will do

  • Query large datasets with SQL and prepare data for machine learning models.
  • Explore raw and third-party data to identify patterns and assess data quality.
  • Use Python to analyze data and build statistical models for business problems.
  • Evaluate machine learning models and fine-tune parameters based on business objectives.
  • Collaborate with senior peers to deploy models in production and build customer-facing reporting tools.
  • Participate in the off-hours on-call rotation supporting live machine learning models.

Requirements

  • Bachelor’s degree in AI, Statistics, Mathematics, Operations Research, Engineering, Computer Science, or a related quantitative field.
  • Knowledge of statistical modeling, mathematics, and basic machine learning algorithms.
  • Basic SQL knowledge.
  • Basic knowledge of visualization tools such as Periscope.
  • Excellent verbal and written communication skills.
  • Strong problem-solving skills.

Culture & Benefits

  • Six-month internship with guidance from world-class mentors.
  • Opportunity to contribute to a platform used by more than 5 million users in the UAE and other regional platforms.
  • Multicultural environment with more than 60 nationalities.
  • Access to learning and development tools and courses.
  • Potential opportunity to pursue a full-time career with the organization.

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