About the Role:
- The team is building a next gen text analytics product, in the realm of augmented intelligence, combining ML/NLP and crowd sourcing insights.
- Natural Language Processing
- Embedding Methods
- Topic Modeling
- Multilabel Classification
- Text Mining
- Deep Learning
Required skills
-Strong analytical and quantitative skills. You are familiar with techniques in
Natural Language Processing, Embedding Methods, Topic Modeling,
Multilabel Classification, Text Mining, and Deep Learning.
- Strong technical and programming skills. You are familiar with relevant
technologies and languages (e.g. Python, Java, Scala, C++ and etc. -
we are NOT interested in R).
- Strong knowledge of NumPy, SciPy, Pandas, Scikit-Learn, TensorFlow,
and Keras. PyTorch is also acceptable.
- Experience with building distributed machine learning systems using
Apache Spark and a working knowledge of MLlib.
- Experience with several of the following libraries and models: CoreNLP,
NLTK, Gensim, SpaCy, TextBlob and Word2vec.
- You have experience in Tensorflow, Keras or Pytorch, also Hadoop/Spark
related Big Data technologies.
- You have the ability to quickly prototype ideas and solve complex
problems by adapting creative/agile approaches.
- You are a strong collaborator and communicator, fostering an environment
of growth and learning for your fellow engineers.
As a plus:
Experience of working in the similar projects would be a plus.
We offer:
- Competitive compensation (EUR or USD) and benefits, at market rate or
better.
- Paid vacation with flexible schedule and sick leave.
- Professional, caring and high energy environment.
- Daily and direct access to founders who have both US and European
experience, at the corporate and startup level. One of the co-founders will
be on site with the development team.
Required skills experience
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