Machine Learning Engineer

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Corsearch

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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.

1001 - 5000 employees

🔐 Security

🤖 Artificial Intelligence

🛍️ eCommerce

📋 Description

• 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.

🏖️ Benefits

• Collaborative Culture • Professional development opportunities