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14 часов назад

Artificial Intelligence/Machine Learning Engineer

Формат работы
remote (только Europe)
Тип работы
fulltime
Английский
b2
Страна
Europe
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Artificial Intelligence/Machine Learning Engineer: Designing and building AI/ML solutions for the hirify.global marketplace with an accent on forecasting, pricing optimization, anomaly detection, and information extraction. Focus on experimenting with algorithms, structured data modelling, foundation models, and evolving Python code into production solutions.

Location: Remote (Europe)

Company

hirify.global is shaping the future of its new Artificial Intelligence and Machine Learning team to uplift its marketplace.

What you will do

  • Collaborate with colleagues to understand challenges and design practical AI/ML solutions.
  • Prototype and develop machine learning and generative AI systems in areas like forecasting, pricing, anomaly detection, and information extraction.
  • Experiment with algorithms, structured data modelling, and foundation models using AWS services (Bedrock, Lambda, S3).
  • Write clear, maintainable Python code for production solutions and work with software engineers.
  • Partner with experienced colleagues and share good practices in AI/ML to promote responsible use of AI and foster learning.

Requirements

  • Degree in Computer Science, Machine Learning, Engineering, Physics, Mathematics, or equivalent experience.
  • Experience developing AI/ML solutions that created real impact in industry or academia.
  • Strong Python skills and familiarity with libraries such as PyTorch or TensorFlow.
  • SQL knowledge and experience working with structured data.
  • Familiarity with MLOps production concepts (versioning, testing, reproducibility).
  • Interest and experience in modern ML methods, including deep learning and prompt engineering.

Culture & Benefits

  • Supportive and open environment, valuing curiosity, collaboration, and diverse perspectives.
  • Commitment to individual growth, learning, and innovation.
  • Welcoming environment for applicants from all backgrounds, especially underrepresented groups in tech.

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