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ML/AI Engineer

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We are looking for a highly capable machine learning engineer to design, develop and optimize its machine learning systems. You will be developing from scratch new ML and AI platform based predictive applications for a variety of problems in different industries. More specifically in the fields of industrial systems condition monitoring and environmental monitoring.To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into enhanced performance of a predictive automation software.

Principal Responsibilities

  • Consulting with managers to determine and refine machine learning objectives
  • Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models
  • Transforming data science prototypes and applying appropriate ML algorithms and tools
  • Ensuring that algorithms generate accurate user recommendations
  • Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn etc.
  • Developing automated ML pipelines suitable to handle huge volumes of streaming data resulting in actionable recommendations/results.
  • Running tests, performing statistical analysis, and interpreting results
  • Documenting machine learning processes
  • Keeping up to date in regards to developments in machine learning

Knowledge, Skills, Experience and Language Requirements

  • Bachelor’s degree in computer science, mathematics, or a related field.
  • Master’s degree in data science, or similar will be advantageous.
  • At least two years experience as a machine learning engineer.
  • Advanced proficiency with Python and/or R.
  • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
  • In-depth knowledge of statistical/machine/deep learning in the context of tabular data, signal processing, time series, computer vision.
  • Superb analytical and problem-solving abilities.
  • Great communication and collaboration skills.
  • Excellent time management and organizational abilities
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