AI Researcher – Helsinki

Job Details

One of our clients there is looking for an experienced, creative, and motivated Principal AI Researcher to carry out research in the area of AI/Machine Learning in security leading to innovations and practical applications that enhance and support their cloud services.

Areas of focus include:

  • Participation in AI strategy and research roadmap definition of their cloud services.
  • Prototyping and implementing the most recent developments into a working product
  • Identify new opportunities, build experimental prototypes, work closely with the design & engineering team to translate your research into product features.
  • Research in areas such as sentiment analysis, fake reviews/news detection, recommendations, tagging.
  • Proof-of-concept of bold and innovative ideas in the application of AI to their cloud services.
  • Explore research opportunities and establish research collaboration with academics and start-ups.
  • Continuous research and evaluation of emerging technologies, staying current on published state-of-the-art ML methods, technologies, and applications.

What you need to have:

  • Academic and/or industrial experience in the area of AI
  • Understanding and use of Deep Learning concepts and technologies (e.g LSTM, NMT, Transformer).
  • Experience with some of the following concepts: sentiment analysis, text tagging, knowledge representation, knowledge graphs, named entity/relationship extraction, automatic summarisation.
  • Experience with some of the following libraries and models: BERT, OpenAI GPT, OpenNMT, CoreNLP, NLTK, Gensim, SpaCy, Apache OpenNLP, TextBlob, Word2vec, and GloVe.
  • Experience using publicly available NLP related datasets: Amazon Web reviews, IMDB movie review, Google 1-billion word etc
  • Good knowledge of Python and hands-on experience with several of NumPy, SciPy, Pandas, Scikit-Learn, TensorFlow, and Keras.
  • Software engineering experience and hands-on experience with Python.
  • Experience with various public cloud environments and technologies.
  • PhD in computer science, maths, statistics, computational linguistics or equivalent experience.