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# Machine Learning Engineer

- **Company:** Corsearch Bekijk Alle Vacatures
- **Location:** Amsterdam, Netherlands
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Big Data, Content Analysis, Data Transformation, Machine Learning, Object Detection, Tensorflow, Sentiment Analysis, Pytorch, Deep Learning, Keras, Machine Learning Operations, Feature Extraction, Document Classification, Data Pipelines, Image Search
- **Published:** September 12, 2026
- **Apply:** https://www.careerjet.nl/job/nle53dc51ccfdb9200d4fc5b0fb25bb18b/eaa

## About the Role

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.

## Description

As an ML Engineer you'll play a crucial role in advancing our shared mission of protecting and enhancing the world's most valuable brands.
You will design and optimize AI models that power our state-of-the-art image search engine and other innovative solutions.
Collaborating with Corsearch's global team of data scientists, engineers, and brand protection experts, you'll help drive innovation in brand protection and online content monitoring, ensuring our clients stay ahead in a rapidly evolving digital landscape.
Responsibilities and Duties
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.


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