Machine Learning / AI / Big Data Engineer, Athens
Atypon
Attica, Athens
πριν από 6 μέρες

Description

Atypon () is the world’s largest technology company in the scholarly and professional publishing industry. Headquartered in Silicon Valley, California, Atypon is renowned for its technological leadership when it comes to online delivery of professional and scholarly publisher content.

Atypon’s online platform helps publishers manage, enrich, market and monetize any type of content and engage their users.

Atypon’s researcher tools make the workflows of practitioners, clinicians, and researchers more convenient and productive from discovery and reading to collaborating and authoring.

We are looking for talented, experienced and self-directed Machine Learning / AI / Big Data engineers to expand our AI R&D team in the areas of :

  • Natural Language Processing
  • Machine Learning Engineering including Deep Learning
  • Knowledge Extraction & Representation
  • Search & Recommendation
  • Senior-level ML engineers preferred but all levels may apply.

    As part of the AI team :

  • You will engage on different projects that are critical to Atypon's next-generation of products.
  • You will work alongside machine learning researchers to design, develop, and deploy algorithms, systems and data pipelines that process and analyze content and data for AI-
  • powered text mining, information retrieval, similarity analysis, and recommendation services.

  • You will build high-performance services on top of Big Data management technologies, such as NoSQL back-ends and Lucene-
  • based search engines like Solr and Elastic Search, and you will work on distributed processing and data streaming platforms such as Apache Spark and KAFKA.

  • You must possess experience on working with large datasets and a firm understanding of the core Big Data algorithms and problems.
  • This is an exciting and challenging role where you will not only have the opportunity to collaborate with worldwide reputable research labs, but also work across a wide portfolio of products and have impact on them.

    Atypon hosts almost 50% of the English-language Science, Technical, Engineering and Mathematics (STEM) publications in the world.

    As a result, we can get our hands on plenty of data, use cases and combined with ample computing infrastructure our ML engineers can explore new ideas and develop novel solutions to help global researchers and publishers know more, do more and achieve more.

    MUST :

  • Deep understanding in most of the following areas : text analysis, natural language processing (NLP) / understanding (NLU), deep learning, information retrieval, collaborative filtering and / or content-based recommendation
  • Experience in developing and deploying machine learning services and solutions as part of a production system
  • Strong development skills in Python or Java implementing production machine learning systems at scale
  • Familiar with frameworks such as Keras, TensorFlow, PyTorch, scikit-learn, Gensim, WEKA, OpenNLP, etc
  • Proven ability to train, tune and evaluate ML models
  • Experience with (big) data engineering technologies and best practices
  • Team player who enjoys working collaboratively
  • Fluency in English written and oral
  • PhD with at least 2 years, or MSc with at least 3 years relevant commercial experience
  • NICE TO HAVE :

  • Hands-on experience with big data, large-scale ML, distributed processing and data streaming frameworks (e.g. Apache Spark, Apache Kafka, Angel parameter server, Elasticsearch, Apache Solr, MongoDB, CouchBase, Neo4J etc)
  • Experience in developing and deployment of large-scale commercial systems related to information retrieval, text mining, natural language processing or recommendation.
  • Familiar with cloud technologies, such as AWS, Google AI Cloud, etc
  • Benefits

  • Competitive salary
  • Opportunity to grow in a fast moving and dynamic organization with like-minded colleagues
  • Flexible working hours
  • Regular performance evaluations based on merit
  • Υποβάλετε αίτηση
    Προσθήκη στα αγαπημένα
    Κατάργηση από τα αγαπημένα
    Υποβάλετε αίτηση
    Το e-mail μου
    Πατώντας στο κουμπί «Συνέχεια », δίνω στο neuvoo τη συγκατάθεση μου να καταχωρήσει τα δεδομένα μου και να μου στέλνει ειδοποιήσεις μέσω email, όπως αναφέρεται λεπτομερώς στην πολιτική προστασίας προσωπικών δεδομένων του neuvoo. Μπορείτε ανά πάσα στιγμή να αποσύρετε τη συγκατάθεση σας ή να διαγραφθείτε οποιαδήποτε στιγμή.
    Συνέχεια
    Φόρμα αίτησης