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Machine Learning Engineer (AI)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Poland/Romania/Netherlands +1 еще
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 Engineer (AI): Designing and optimizing machine learning models for image search, computer vision, NLP, and online content monitoring with an accent on deep learning, image-text matching, and scalable data pipelines. Focus on training models for reverse image search and text analysis, improving production performance, and solving complex image and language processing challenges.

Location: Fully remote; Netherlands, Germany, Romania, or Poland

Company

hirify.global provides AI-powered data, deep analytics, and professional services for trademark and brand protection, anti-counterfeiting, and online content monitoring.

What you will do

  • Design, develop, and optimize machine learning models for computer vision and natural language processing.
  • Train and fine-tune CNN, RNN, and Transformer models for reverse image search, image-text matching, image recognition, object detection, and online content analysis.
  • Research and implement state-of-the-art algorithms to improve AI solution accuracy and performance.
  • Build scalable pipelines for ingesting and processing image and text data for model training and evaluation.
  • Monitor models in production, identify bottlenecks, and propose performance optimizations.
  • Collaborate with data scientists, engineers, brand protection experts, and other cross-functional teams to improve products and systems.

Requirements

  • At least 3 years of professional experience as a Machine Learning Engineer.
  • Strong proficiency with CatBoost, TensorFlow, PyTorch, or Keras.
  • Experience with image processing, feature extraction, and text preprocessing techniques.
  • Solid understanding of algorithms for object detection, image classification, text extraction, and sentiment analysis.
  • Hands-on experience with large datasets and data pipelines for training and deploying machine learning models.
  • Strong analytical and problem-solving skills, including the ability to translate business challenges into technical solutions.
  • Full professional English proficiency.

Culture & Benefits

  • Fully remote, full-time employment.
  • Work with a global team of data scientists, engineers, and brand protection experts.
  • Inclusive workplace committed to equal opportunity and diverse perspectives.
  • Contribute to protecting brands and consumers through AI-driven solutions.

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