Machine Learning Engineer

🕒 May 28

🌐 Netherlands, Germany, +1 more countries – Remote

🇳🇱 Netherlands – Remote 🇩🇪 Germany – Remote 🇷🇴 Romania – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 50%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Corsearch

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🔐 Security

🤖 Artificial Intelligence

🛍️ eCommerce

Security • Artificial Intelligence • eCommerce

Corsearch is a global leader in brand protection and trademark infringement, empowering companies to safeguard their most valuable assets. With a focus on intellectual property, Corsearch helps protect brands against infringement, counterfeit, and digital threats through AI-powered data, deep analytics, and professional services. Trusted by over 5,000 customers worldwide, Corsearch enables brand owners to monitor and control the use and misuse of their brands in an increasingly complex digital environment. The company offers comprehensive online brand protection solutions, including anti-counterfeiting and antipiracy measures, supporting brands to market their assets, drive growth, and optimize brand presence against threats.

📋 Description

• Develop and optimize machine learning models focused on computer vision and NLP • Train and fine-tune deep learning models such as CNNs, RNNs, and Transformers • Develop solutions for reverse image search, image-text matching, and online content analysis • Collaborate with global data scientists, engineers, and brand protection experts • Research and implement state-of-the-art algorithms and techniques • Build scalable data pipelines for image and text data ingestion and processing • Monitor model performance in production, identify bottlenecks, and propose optimizations • Improve product and system performance

🎯 Requirements

• At least 3 years of professional experience as a Machine Learning Engineer • 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 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 • Ability to translate business challenges into technical solutions • Full professional English proficiency

🏖️ Benefits

• Inclusive and collaborative workplace culture • Equal opportunity employer committed to diversity and inclusion • Supportive workplace where employees feel valued, respected, and supported