Data Engineering - AIML Data Modeling - SSE

Data Engineer

Working on top of worldwide research content, actions & knowledge, our Information Discovery,

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 Data Engineer to work on the following areas

Information Retrieval, Semantic Search, Recommendation services (on top of Elasticsearch

also leveraging LLMs/Embeddings and GenerativeAI)

Large scale distributed data processing (based on Apache Spark / Scala)

Streaming data processing (based on Google DataFlow/ApacheBeam)

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

● Requirement Military obligations fulfilled for male candidates

How you will make an impact

Work cross-functionally collaborating with AI/ML engineers and product management to

develop AI-powered, highly efficient data & search solutions on all the above-mentioned

areas.

Design, build, orchestrate, and scale various streaming or batch processing data pipelines

utilizing optimal patterns, technologies and frameworks.

Be comfortable navigating the following technologies and programming languages Java,

Python, Scala, ElasticSearch, Apache Spark, Spring Boot, Apache Beam, Airflow etc.

What we look for

Minimum Qualifications

MSc with strong GPA in Computer Science/ Engineering

2+ years of work experience in data, backend and/or search engineering

Solid background and experience in CS and S/W development (especially in backend

development, databases etc)

Experience with Java (and/or Python) backend APIs / development frameworks also

supporting long running tasks (e.g., Spring Boot, FastAPI), microservices architecture, IoC/DI

patterns and containerization.

Strong engineering skills and experience in Java

Background and experience with (at least one) of the following technologies

Lucene-based search Engines (e.g., ElasticSearch)

Distributed Data Processing using ApacheSpark (preferably in Scala)