Student Assistant Machine Learning (F/M)
Job Description

smartShift Technologies is looking for a seasoned Student Assistant Machine Learning (F/M) to join our team in Germany.

Responsibilities
  • Primary focus is assisting in creating and improving machine learning models
  • Support in launching EMR jobs using various training parameters, monitoring and taking protocols of results
  • Support in exploring additional ML platforms
  • Assist in evaluation of results in order to decide on next training steps
  • Assist in apply models to domain data and evaluating results and feedback on accuracy
  • Optionally, support in coding, in order to evaluate alternative algorithms
  • Setting up and launching EMR clusters for training (bootstrapping actions, sizing, configuration, etc.)
Skills & Experience
  • Studying IT (technical/scientific) with focus machine learning
  • Good understanding of ML concepts (focus classification / logistic regression)
  • Experience with a ML Framework or Big Data Tools (Spark, ML Library)
  • Hands-on programming language experience: Java, Scala/
  • Willing/able to work with global teams in different time zones
  • Very good communication skills (oral/written) in English, German is a plus
  • Some experience working with Cloud Services like Amazon AWS (also using command line)
  • Nice to have: Git; build automation tools: Shell, Maven, scripting; testing frameworks such as Junit
Region
Mannheim, Germany