Open Positions

Data Scientist/Machine Learning Engineer

Ramat Gan

Collaborate with engineering and product development teams to co-develop machine learning solutions for a variety of projects.

Responsibilities

  • Build predictive models and machine-learning algorithms
  • Presenting information using data visualization techniques
  • Undertake preprocessing of structured and unstructured data
  • Create practical applications and models for textual, contextual, audio and image processing

Requirements

  • Proven experience as a Data Scientist or Data Analyst, of at least 3 years
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc
  • Proven experience at least in one of the fields: Image processing, Audio processing or Natural language processing
  • Experience with deep learning frameworks such as mxnet, Torch, Theano, Keras, Caffe and Tensorflow is a plus
  • Experience using at least one of the following machine learning and statistical analysis libraries: scikit-learn, nltk, scipy, numpy, pandas, etc
  • Strong software development skills with proficiency in Python preferred
  • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
  • Strong math skills (e.g. statistics, algebra)
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc
  • Ability to present the analysis and algorithm concepts to a broad technical audience
  • Problem-solving aptitude
  • Excellent communication and presentation skills

About Working at Over.ai

Our team is diverse, passionate, and highly skilled; by constantly challenging and pushing each other, we become better innovators and stronger employees. We are an equal opportunity employer, and we strongly value creativity, integrity, and a sense of humor. If you are passionate about technology and want to be a part of the AI-revolution, please submit your CV and apply above.