(Junior) Deep Learning Engineer (m/f/d)

We are looking for a deep learning engineer for building a new solution for buzz analysis. We require at least some years of professional experience with deep learning tools, e.g. Tensorflow, Keras, PyTorch, DeepLearning4J, … Python experience is required as well. Database knowledge (relational and NoSQL) is a plus. Person should have experience working in a team and/or leading a team. Company languages: English, German, Chinese.

Your Tasks:

  • Using Deep Learning with Tensorflow for new NLP models and user rankings
  • Create training data sets (dynamically) to build models
  • Use existing databases and historical data for training
  • Adaptation of database structures and data models
  • Thinking outside the box regarding innovative and algorithmic solutions

Your Profile:

  • University degree, preferably in computer science or business informatics or comparable work experience
  • Professional experience with deep learning tools, e.g. Tensorflow, Keras, PyTorch, DeepLearning4J
  • Practical experience with Python required
  • Being familiar with different programming languages such as Java, JavaScript, Node.js
  • Very good knowledge of database technologies (relational and NoSQL)
  • Knowledge of Apache Storm is an advantage

Our Offering:

  • Exciting job in a highly motivated, international team (Office language: English, German, Chinese)
  • Fast growing AI and Fintech company with flat hierarchy
  • Attractive salary consisting of a fix and variable component
  • 25 days holiday and flexible working hours
  • The opportunity to work from home
  • Office in the center of Bonn and goodies such as complementary beverage, local public transport ticket, “With bike to work”-scheme and access to gym

We are looking forward to getting to know you.

Please send your application to Tanja Oppermann:

info@stockpulse.ai

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