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Deep Learning

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Must-have:

● Professional data engineering experience focused on batch and real-time data pipelines using Spark, PySpark, Python (Scala is a plus).
● Strong hands-on working experience of Big Data stack including Spark and Python(Pandas is a plus).
● Awareness of DevOps.
● Hands-on design and development experience in data space: data processing/data transformation using ETL tools, a data warehouse (data modeling, programming).
● Exposure to Google Cloud and Amazon Web Services.
● Experience working in a high load / high performance distributed project.
● Experience both with async code and with multithreading/multiprocessing.
● Hands-on experience with SQL (e.g. PostgreSQL) and NoSQL databases (MongoDB, Redis, Elasticsearch, etc.)
● An open-minded person who is willing to work in a dynamic R&D environment.


Must-have:

— Experience in one of Python, Java or Scala
— Experience in implementation of Machine Learning
— Experience with developing dashboards and reports
— Strong SQL skills (MySQL, PostgreSQL)
— Knowledge of working with large datasets
— Strong technical, analytical, and mathematical skills
— Intermediate English or higher


Must-have:

Strong mathematical background, keen sense of complexity estimation, a
paranoia for writing efficient code.

  • Masters in Computer Science or related branches with 2+ years of
    experience in industry.
  • Very strong linear algebra fundamentals.
  • Reasonable DSP skills.
  • Experience with supervised as well as unsupervised learning
    algorithms.
  • Most importantly, the ability to connect the usage scenarios of a system
    with it's basic specifications.
  • The flexibility to feel at home in a technology start-up with a small team
    that demonstrates adaptability to fast changing needs.
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