Senior Machine Learning Engineer

Location: Istanbul

Post Date: September 1, 2020

About Us

Customer experience management was complicated. We simplified it. Alterna CX solution helps companies measure and manage customer experience and get better results. Some of the most reputable companies in retail, insurance, and banking industries across four countries, including Akbank, İş Bankası, Koçtaş, Sharekhan by BNP Paribas and IuteCredit, use Alterna CX.

Responsibilities

  • Working with an agile engineering and AI team to deliver new languages, features and enhancements as part of our roadmap
  • Owning and managing the core ML and backend Python codebase
  • Performing maintenance and support for Alterna AI clients (e.g. major banks, retailers)
  • Keeping up to date on latest academic research, developing prototypes out of promising articles
  • Supporting new and ongoing projects with Tubitak TEYDEB

About you

  • Academic profile
    • Master’s Degree in Computer Science/Engineering
    • Graduation from or enrollment in a Ph.D. degree in Computer Science/Engineering, Computational Science/Engineering or related fields is a big plus
    • Fluency in written and spoken English
  • Expertise in NLP and ML
    • Familiarity with the latest NLP methods (e.g. word vectors, usage of LSTMs)
    • Academic track record in related Master’s level courses like Natural Language Processing (NLP), Machine Learning (ML), Artificial Neural Networks, Deep Learning
    • Thesis and/or participation in academic articles in NLP and ML areas
    • Kaggle achievements are hugely appreciated
  • Technical skills and experience
    • Minimum 3 years of software development experience, preferably in an established company or a start-up. Candidates with heavy involvement in academic projects are also quite welcome
    • Solid command of Python and related ML libraries like TensorFlow, Keras, NumPy, pandas, scikit-learn, Gensim, PyTorch
    • Knowledge and experience in
      • Developing web services (Restful, Soap, etc.)
      • Version control systems (like GitHub)
      • Databases (MongoDB and Apache Solr experience is a plus)
      • Linux environment and deployment methodologies (e.g. docker)

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