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7 дней назад

Senior Machine Learning Engineer (Marketing Personalisation)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Denmark
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
Senior Machine Learning Engineer (Marketing Personalisation): Building and deploying machine-learning and statistical models that personalize meal recommendations for a consumer marketplace with an accent on experimentation, production ML, and customer-oriented outcomes. Focus on researching algorithms, evaluating experiments, designing complex ML systems, and improving recommendations used by millions of users.

Location: Copenhagen, Denmark (Hybrid)

Company

hirify.global is a certified B Corporation building marketplace and retail technology solutions to help reduce food waste.

What you will do

  • Research, design, and build machine-learning models for marketing personalisation.
  • Run experiments, evaluate results, and improve models and algorithms.
  • Develop statistical models and solve product and customer problems end to end.
  • Build and deploy machine-learning models in production.
  • Collaborate with engineers, data scientists, product members, and broader ML communities.

Requirements

  • Established experience in a similar machine-learning engineering role.
  • Production experience with Python and experience working in a cloud environment such as AWS, Google Cloud, or Azure.
  • Hands-on experience with ML libraries, frameworks, and tools such as PyTorch, TensorFlow, Scikit-learn, Prophet, or DeepAR.
  • Technical degree in Computer Science or an equivalent engineering field.
  • Ability to submit a CV and cover letter in English.

Nice to have

  • Experience with dbt, Snowflake, Airflow, or Metaflow.
  • Experience designing complex ML systems and conducting statistical hypothesis testing.

Culture & Benefits

  • Opportunity to develop and maintain a personalisation engine used by millions of users.
  • Work in a global social-impact company focused on reducing food waste.
  • Autonomous working environment with opportunities to contribute, develop, and take ownership.
  • Defined product teams with scope for direct impact on product development.
  • Inclusive culture centered on collaboration, high standards, simplicity, lasting impact, and care.

Hiring process

  • Applications must be submitted through the company platform.
  • CV and cover letter are required in English; applications by email or LinkedIn direct message are not accepted.

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