This Job Vacancy has Expired!

Machine Learning Engineer

Posted on May 12, 2020 by Red - The Global SAP Solutions Provider

Not Specified, Belgium
IT
Immediate Start
Annual Salary
Contract/Project

*Machine Learning Engineer - DevOps - Belgium*

For our international client based in Belgium, RED is currently looking for a Machine Learning Engineer - DevOps to start in a new project.

Machine Learning Engineer DevOps: Tech and all departments

Primary Tasks & Responsibilities:

  • Application and development of modern machine learning approaches to heterogeneous data sets including structured data, text, images and speech
  • Utilise a scientific and pragmatic approach to all projects
  • Compare results from various methodologies and recommend best techniques to stake holders
  • Write robust code that can be deployed to production
  • Connect and collaborate with subject matter experts in biology, chemistry, and medicine.
  • Work with interdisciplinary product teams to design, develop, and optimise customer-impacting data solutions
  • Communicate technical subject matter clearly and concisely to audiences of various backgrounds
  • Provide guidance to team members

Experience:

  • 4-5 years of data science and machine learning engineering experience
  • Expert understanding of bash, SQL, Python, R and big data tools such Spark (project dependent)
  • Strong experience with at least deep framework such as TensorFlow, Keras, or PyTorch
  • Up-to-date knowledge of machine learning techniques. Depending on this project this will include computer vision, NLP, general deep learning and predictive modelling, including CNNs, RNNs, time-series analysis and general techniques such as gbm, svm, glmnet, random forest
  • Strong understanding of DevOps and software development tools, including git and Docker Soft Skills. Communicate technical subject matter clearly and concisely to audiences of various backgrounds

If you are interested in this position, please apply or send your updated CV to (see below) for immediate consideration.

Reference: 888528567

Set up alerts to get notified of new vacancies.