Machine Learning Engineer

Location: Utrecht

*** Mention DataYoshi when applying ***

Since 2006, Cafeyn’s group has been in a fast paced environment, acting in a market that is in constant evolution.

Our ambition is to become the go-to platform for access to information. Within the press sector and its digital transformation, our objective is to become a European champion of information streaming within the next five years.

We’ve strengthened our international presence thanks to the acquisition of Milibris & Blendle. With, for now, 180 Cafeyners and 6 countries, we are ready to create an information haven to empower people. We feel they deserve a press service that allows them to focus on quality information wherever they are. We believe that quality information deserves the best reading conditions. That’s why our products are designed to generate optimal comfort, maximize the ability to focus and improve the well-being of our readers.

We have the trust of international key distributors as Bouygues, Canal +, O2, Three…

Cafeyn in numbers?

  • 2000 press titles in our catalog
  • 500 partners in publishing
  • 4.6/5 on both App & Play Store

Our values? Excellence, Kindness, Ambition, Honesty & Innovation!

To achieve our ambitious objectives, we are looking for people with a curious & entrepreneurial mindset that believe in our values and that can imagine the future of the press. If you want to broaden your horizon and be part of a dynamic & international team, join us!

About the job

You will join the Tech - Data team, you will closely work together with the Data Scientists and have a product view; models you build and bring into production are fuelling major parts of our application.

In addition you’ll work closely with the Data Engineers in the definition of data architecture, data flows (ETL) and implementation of, in a broad sense, data systems.

Your missions

Our articles are the life force of the organization. We get multiple thousands of articles each day. From a recommendation perspective, the better we understand these articles, the more value we create for our readers and listeners based on these articles.

Our challenge is that we want to move towards a better understanding of these articles using state of the art NLP technologies. These include large scale pretrained models such as BERT and other transformer models. We need your expertise in setting up the environment for training and tweaking these models, and the infrastructure for bringing them into production. Having a better article understanding subsequently also allows us to work on improving our user understanding, and the recommendation algorithms, in which you’ll also play a big role.

Part of making this happen is also working with data sources/streams/flows, and in that aspect you’ll work together with the Data Engineers on the infrastructure and external data systems to facilitate that.

About you

You are in the right place if you have

  • Be very proficient in Python development
  • At least 3 years’ experience as a Data Engineer, Machine Learning Engineer or similar role
  • At least 2 years’ experience working with NLP technologies (text representation, semantic extraction techniques, data structures and modelling) and productionizing these technologies
  • Fluent in English
  • Experience in architecting and deploying data systems on AWS, GCP, Azure or similar
  • Experienced in working with data flows and data warehouses (Airflow/Luigi, BigQuery/Snowflake)
  • Experience with infrastructure as code (Kubernetes / Terraform)

It's a perfect match if you have

  • You have technical culture, knowledge of the technical ecosystem, curiosity, global vision
  • You are constantly driven by a product vision and concern for optimizing solutions, technically, functionally and financially
  • Team player, committed, motivated by the Cafeyn growth project
  • Curious, team spirit

What we offer at Cafeyn/Blendle ?

  • An international team
  • A dynamic working environment with a flex office policy
  • A remote friendly culture

  • An awesome Chief Happiness Officer
  • Team Lunches, Afterworks, breakfasts
  • Team Building events
  • All Hands / Q&A every two weeks
  • Luncheon vouchers
  • VIP access at Cafeyn
  • A no-internal meeting day (Wednesday) to focus on our goals, objectives and/or projects, without interruptions
  • The possibility to request a transfer to another Cafeyn office abroad

*** Mention DataYoshi when applying ***

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