Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль четко определена с ясным акцентом на машинное обучение и ИИ, а компания является уважаемым продуктовым предприятием в трендовом домене, но отсутствие информации о зарплате является недостатком.
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Нет информации о зарплатеПродуктовая компанияТрендовый доменЧеткие обязанности
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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