Μονάδα Υποστήριξης Φοιτητών (Μ.Υ.Φ.)

Big Data & Search Engineer

Description

About ATYPON

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.

About The Role

Working on top of worldwide research content & knowledge, our Machine Learning & Data Engineering team explores new ideas and develops novel, AI-powered solutions which help publishers & researchers to know more, do more & achieve more.

We are looking for talented and self-directed Big Data and Search engineers to expand our AI/ML & Data engineering team in the areas of:

  • Information retrieval and (semantic) search
  • Large scale distributed data aggregation, analysis, processing and indexing
  • Content-based recommendation & similarity analysis
  • Entity disambiguation

As an integral member of our AI / R&D team, you will be responsible for modelling, indexing and processing worldwide research knowledge and scholarly communications (i.e., research ecosystem), developing effective AI-powered services which address a wide range of use cases in the above-mentioned areas. This is an exciting and challenging role where you will have the opportunity to work across a wide portfolio of products and have impact on them.

Senior-level engineers are preferred, but all levels may apply.

Requirements

MUST HAVE:

  • BSc or MSc degree with a strong GPA in Computer Science related fields
  • Solid background in Computer Science and S/W development (OOP, SQL/relational DBs, data structures and algorithms)
  • Strong development skills and proficiency in Java (and / or Python)
  • Strong background and experience with (at least one of) the following data engineering technologies / platforms:
    • Lucene-based search engines (e.g., ElasticSearch)
    • Distributed data processing using Apache Spark (Scala, or PySpark)
  • Team player who enjoys working collaboratively exchanging ideas about code and solutions
  • Fluency in English written & oral
  • A strong sense of ownership, urgency, and drive

NICE TO HAVE:

  • Extensive practical experience in aggregating, exploring, transforming, manipulating, processing and indexing large scale data (cleansing, normalization, linkage, ETL)
  • Experience with Java or Python back-end/API development frameworks (such as Spring boot or Flask), microservices architecture, IoC/DI patterns and Containerization
  • Familiarity with
    • NoSQL backends & Data Warehouses (e.g., Google BigQuery)
    • In memory data stores & vector-based ANN search engines (e.g., REDIS, FAISS, Milvus.io)
    • Distributed message brokers / data streaming platforms (e.g., KAFKA, Google Pub/Sub)
  • Background in Machine Learning and experience in one or more of the following areas: Information Retrieval, Content-based Recommendation, Text Mining, Natural Language Processing (NLP), Representation Learning, Deep Learning
  • Proficiency in Scala
  • Familiarity with cloud technologies such as Google Cloud
  • Familiarity with end-to-end S/W development life-cycle (CI/CD, A/B Testing)
  • Experience with Git, Jira, MAVEN/SBT, Cloud Build or Jenkins
  • Good understanding of Agile methodologies
  • DevOps mindset

Benefits

  • Unique opportunity to work with a Silicon Valley technology company in Athens
  • Work in a team of talented engineers and tech leaders
  • Competitive compensation package
  • Private health insurance
  • Opportunity to grow in a fast moving & dynamic organization
  • Pension plan with employer contribution
  • Flexible working hours
  • Work from home possibilities
  • Merit-based performance evaluation and objective setting
  • On-the-job training and career growth opportunities
  • Early Fridays during summer
  • Extended paid parental leave
  • Employee assistance program available
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