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Regular/Senior Data Scientist
Data

Regular/Senior Data Scientist

Type of work
Undetermined
Experience
Senior
Employment Type
Permanent, B2B
Operating mode
Remote

Tech stack

    Machine Learning

    advanced

    Python

    advanced

    NLP

    regular

    MLOps

    nice to have

    DevOps

    nice to have

    Amazon SageMaker

    nice to have

    AWS

    nice to have

Job description

Online interview
Friendly offer
About Us

SendFriend was founded at the Massachusetts Institute of Technology to reinvent the cross-border payments industry. The company is backed by leading partners and investors such as the European Union, Ripple, Techstars, the Barclays Accelerator, the MIT Media Lab, Celo, and others. Our aim is to create a global network of international payments, democratizing access to cheaper, fast, and personalized payments 24 hours a day.


Responsibilities


  • Design, develop, and maintain the tools & infrastructure required for a variety of cutting-edge AI research and our projects
  • Research, prototype, and develop algorithms for machine learning use case

We expect you to:

  • Have strong programming skills with 2+ years of professional experience
  • Deep understanding of algorithms, data structures, and mathematical fundamentals
  • Have experience working in large distributed systems
  • Have proficiency in Python and typical data science stack: numpy, pandas, sklearn, matplotlib, seaborn
  • Strong background in machine learning and neural networks
  • Have or can quickly gain familiarity with PyTorch, Tensorflow, and XGBOOST
  • Have experience or knowledge in NLP
  • Familiarity with Linux, bash, and git
  • Basics principles of MLOPS and AWS - highly desirable

Nice to have:



  • MS degree in Computer Science, Artificial Intelligence, Data Science, Mathematics or science degree
  • Interested in blockchain technology
  • Good skills in debugging, profiling, and testing numerical software.
  • Past experience in creating high-performance implementations of deep learning algorithms and NLP solutions

Benefits:

  • Flexible environment
  • Competitive salary
  • Work from anywhere, for those who would like to work in offices - Kraków/Warszawa
  • Company laptops (Mac)
  • B2B or contract of employment