Machine Learning Engineer (m/w/t)

  • Quandoo
  • Berlin, Germany
  • 14/09/2020
Full time Data Science Machine Learning Big Data Data Management Statistics

Job Description

As a member of the newly formed team, you will be responsible for designing, developing and maintaining systems for ingestion, consolidation and analysis of the restaurant related data.

You will perform exploratory data analysis, build new machine learning models and work on tuning and maintenance of the existing models.

You will contribute to product and technological decisions to find the best way of achieving the business objectives of the company.

Qualifications

Required skills and experience:

  • BSc/MSc in Computer Science, Mathematics or any related natural science field,

  • Good knowledge of classical machine learning: regression and classification models, data cleaning and model validation, supervised and unsupervised learning and transfer learning

  • Hands on experience with Tensorflow / PyTorch as well as Scikit-learn and Pandas frameworks

  • 2+ years of professional Python programming experience

  • Good knowledge of SQL-like databases (MySQL, SQLlite, BigQuery, Postgres etc )

  • Passionate about delivering high-quality code and building reliable systems

  • Curiosity and ability to work independently

  • Good communication skills, proficiency in English

Nice to have:

  • Basic knowledge of microservices architecture and Restful APIs

  • PhD in Computer Science

  • Spark/Flink data processing

  • Airflow or any other job scheduling tools

  • Knowledge of Deep Neural networks is a plus (RNN, CNN)

  • Some exposure to JVM technologies (Java/Kotlin/Scala)

Additional Information

What we offer:

  • Attractive perks – access to Quandoo’s pension scheme as well as various fitness and lifestyle benefits
  • Modern equipment – state-of-the-art laptop & tools needed for optimal work results
  • Fun working environment – opportunity to collaborate with highly motivated colleagues and attend company parties, the weekly Qweekend and Quandoo’s Global Summit
  • Work-home balance – flexible working hours, home office possibilities and up to 30 days of vacation
  • High level of responsibility – the chance to hit the ground running from day one and shape your own career path

Want to be part of Quandoo’s future? Apply now!