Machine learning engineer Java

Requirements:

• Fluent English

• 10+ years of development experience

  • Experience in the development of complex programs in any programming language
  • Extensive data / text / document processing experience
  • Talent for producing maintainable code (structured, easy-to-read, tested)

• Experience in building machine learning solutions (both NLP and non-NLP)

  • Problem definition
  • POC for possible approaches / Model selection
  • Data preparation
  • Feature engineering
  • Training, Tuning, Evaluating models
  • Error analysis
  • Post-processing (smoothing)

• Self-reliance:

  • Ability to tackle problems on their own after receiving high level requirements
  • Ability to work from home without constant supervision and/or interaction with colleagues

• Solid Java skills:

  • At least 3 years Java experience, up-to-date knowledge
  • Familiarity with common design patterns, dependency injection, java streams, functional programming interfaces etc.

• Ability to work with common development tools (git, docker, gitlab, intellij, linux tools)

Plus:

• Familiarity with the following:

  • SMILE, DL4J, Kotlin, PY4J
  • Python, Keras, PyTorch, Tensorflow, Spacy, AllenNLP
  • Docker
  • GitLab CI

• Background in DevOps, Linux skills:

The document processing pipeline is built primarily using Java. The Java code includes machinery for executing the processing pipeline, a sophisticated Document Object Model and many processing steps – each interacting with the DOM. Some processing steps are implemented using external tools like SPACY or Keras, for which we have a Python integration in place. Python programming skills may be needed for simple scripting tasks, but the more complex problems are all to be solved in Java.