Updata One

Identrics builds machine learning solutions that transform unstructured data into knowledge and insights. By fusing text mining technologies with domain-specific human expertise, our models make sense of any type and volume of text on a multi-language basis.

We are looking for a Software engineer to join our team and help with the development and maintenance of our ever-expanding Python frameworks for delivering AI services and solving R&D problems. Our solutions are immediately deployable and must be extended in a customisable, and flexible fashion to meet our clients’ demands and maintain our SaaS capabilities.

Job Responsibilities:

  • Design, develop and maintain REST and RPC APIs for delivering predictions from natural language processing models built with various open-source technologies
  • Identify and resolve performance and scalability issues with SaaS products at scale
  • Help identify, debug and fix problems with our existing codebase.
  • Solve challenging engineering problems in building software for training machine learning models.

About you:

  • Bachelors degree in Informatics, Computer Science, Software Engineering, Math/Physics or equivalent;
  • 2+ years of software development experience
  • Solid knowledge of Python;
  • Sound foundation in object-oriented programing, data structures and algorithms;
  • Experience with at least one more programming language (Java is a plus);
  • Microservice development experience is a plus;
  • Excellent communication in written English;
  • Availability to work full time.

Bonus points for:

Familiarity with any of the following technologies will be considered an advantage – Numpy, Pandas, ScikitLearn, PyTorch, TensorFlow, Spacy, RDFlib, Pyro4, Docker, Gunicorn.

What we offer in return

  • Competitive salary
  • A career path that depends on your results and interests
  • A non-corporate atmosphere with flexible processes and an agile mindset
  • The possibility to work remotely

If you like the sound of this and tick the boxes, send us your CV.

Apply at: [email protected]

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