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Job Description
**Location:**
Athens, Greece
**Company: Atypon – A Wiley Brand**
Atypon (www.atypon.com), a John Wiley \& Sons company, is the world’s largest technology company in the scholarly and professional publishing industry. Headquartered in Silicon Valley, California, and spread in five different countries, Atypon is renowned for its technological leadership when it comes to management and online delivery of professional and scholarly publisher content. Atypon's online publishing platform hosts more than 50% of the English\-language Science, Technical, Engineering and Mathematics (STEM) publications in the world.
Our mission is to unlock human potential. We welcome you for who you are, the background you bring, and we embrace individuals who get excited about learning. Bring your experiences, your perspectives, and your passion; it is in our differences that we empower the way the world learns.
**About Wiley**
Enabling Discovery, Powering Education, Shaping Workforces.
We clear the way for seekers of knowledge: illuminating the path forward for research and education, tearing down barriers to society’s advancement, and giving seekers the help they need to turn their steps into strides.
Wiley may have been founded over two centuries ago, but our secret to success remains the same: our people. We are willing to challenge the status quo, move the needle, and be innovative. Wiley’s headquarters are located in Hoboken, New Jersey, with operations across the globe in more than forty countries.
**About The Role**
*Working on top of worldwide research content \& knowledge, our Machine Learning \& Data Engineering teams explore new ideas and develop novel, AI\-powered solutions which help publishers \& researchers to know more, do more \& achieve more. At the same time, our goal is to highlight low\-quality research and ensure research (data) integrity identifying signals of potential research misconduct. We are looking for a talented and self\-directed Senior Machine Learning Engineer to work on the following areas:*
* Machine Learning Engineering including Deep Learning
* Text Mining and Natural Language Processing
* Generative AI \& Agentic Workflows
* Semantic Search, Information Retrieval, Recommendation \& Retrieval Augmented Generation (RAG) pipelines
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