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Machine Learning Engineer

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Corsearch

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Location:
France; United Kingdom , Paris ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

At Corsearch, we are dedicated to creating a world where consumers can trust the choices they make. As a global leader in Trademark and Brand Protection, we partner with businesses to safeguard their most valuable assets in an increasingly complex digital environment. Our comprehensive solutions, powered by AI-driven data and deep analytics, enable brands to establish, monitor, and protect their presence against infringement and counterfeiting.

Job Responsibility:

  • Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition)
  • Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching, and online content analysis
  • Collaborate with cross-functional teams to improve product and system performance
  • Research and implement state-of-the-art algorithms and techniques to improve the accuracy and performance of AI solutions
  • Build scalable data pipelines for the ingestion and processing of image and text data for model training and evaluation
  • Continuously monitor the performance of models in production, identify bottlenecks, and propose optimizations

Requirements:

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

Additional Information:

Job Posted:
December 07, 2025

Employment Type:
Fulltime
Work Type:
Remote work
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