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Deep Learning Data Analyst

  • Algorithms
  • Ra'anana, Israel

Description

Rail Vision is a vibrant and fast-growing multidisciplinary startup headquartered in Ra'anana. We utilize the latest Artificial Intelligence and Electro Optics technologies and develop lifesaving, vision systems for the global railway market.

We are looking for a Data Analyst to join our data team within the Algorithm R&D group, analyzing and exploring image and text data, for use in state of the art Deep Learning algorithms. The desired data analyst is an enthusiastic researcher, but also a great team player.

Responsibilities:

·      Executing data projects end-to-end from requirements definitions, literature survey, data mining and exploration up to implementation.

·      Develop and deploy data solutions used mainly for deep learning purposes.

·      Use novel algorithms as well as classic ones, in order to improve existing data sets, and building new ones.

·      Identify strengths and weaknesses in existing and future data sets, and find solutions to enhance strengths and cover over the weaknesses.

·      Develop and implement statistical models, in order to understand our data capacity and diversity, as well as improving our product solution.

·      Understanding state of the art algorithms from AI and ML, which are the base of our product.

·      Work closely with other team members as well as with other company teams, such as annotation team, experiments team, software… 

Requirements

·      B.Sc/ M.Sc in Electrical eng. / Computer eng. / SW eng. / Computer Science / Exact sciences.

·      At least 2  years of practical experience of data analysis for DL/ML algorithms.

·      Hands-on experience in Matlab and Python.

·      Self-learner, strong can-do attitude and great interpersonal skills.

·      Hands-on problem solver fit for dynamic start-up environment Desirable.

·      Friendly, with great vibes!

Advantages

·      Experience in SQL for data extraction

·      Background in other computer programing languages

·      Familiarity with SW development tools, such as Git, Docker, etc.

·      Experience with OpenCV.

·      Solid and proved background in or more of the following: Image processing / Signal processing /Computer Vision.

·      Experience with TensorFlow / Keras.

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