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AI Engineer

Bucharest, Romania
We're a Bucharest based software consulting company looking for talented software developers to join our team!
 
Responsibilities:
 
  • Understand the business problem, challenge of existing technologies and areas of application for AI technologies.
  • Identify and choose the right AI or cognitive computing technologies for solving problems and formulate AI recipes for development.
  • Develop required machine learning models or prototype applications applying formulated AI recipes and verify the problem/solution fit.
  • Set up and manage the AI development and production infrastructure.
  • Help product managers and business stakeholders understand the potential and limitations of AI when planning new products.
  • Build data ingest and data transformation infrastructure.
  • Identify new training datasets, problem transfer learning opportunities and adapt .
  • Build AI models from scratch, deploy them into production and help stakeholders understand the outcomes.
  • Create APIs and help business customers transfer results from the developed AI models to operations.
  • Recommend AI  that can improve the existent products.
 
Skills & experience
 
  • 5+ years programming experience working on AI/MLproducts/models. 
  • Solid programming language skills in at least one of the following Python, Java, C++.
  • Strong knowledge of machine learning related tools and frameworks for data management, visualization, implementation and performance evaluation, such as scikit-learn, numpy, pandas, OpenCV.
  • Experience building AI models in frameworks such as Keras, TensorFlow or Theano.
  • Unix or unix-like operating system.
  • Demonstrated ability to deliver working solutions on a tight schedule.
  • Very strong algorithmic thinking.
  • Experience with versioning tools (e.g. Git) preferred.
  • Solid understanding of data science process, statistical modeling, machine learning, deep learning and use of quantitative methods in business setting background is a plus.
  • Cloud development (Docker, Kubernetes) and using Cloud specific AI technologies (Azure Machine Learning Services, Google AI Platform, etc.)

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