Machine Learning Engineer (Python)
QED Software
Athens, Greece
πριν από 3 μέρες
source : Just Join IT

R&D grants experience (nice to have)

Docker&Kubernetes (nice to have)

Polish language (regular)

API and / or pipelines (regular)

Programming libraries (regular)

Active learning (regular)

Python (advanced)

QED Software is an AI products company, and a technological enablement partner for firms that are pioneers in various areas.

We turn applied AI research into production-ready solutions and we have an expertise to embed them into big software frameworks.

Our products are used to reduce the uncertainty of Machine Learning (ML) processes, to align ML with business understanding and priorities, to support humans in the ML loop as well as to reduce ML footprint in intensive data environments.

We are looking for a skilled and experienced (Mid) Machine Learning Engineer (Python) to join our team. You will be an integral part of one of our R&D Teams that develop novel methods and solutions across a wide array of AI and Machine Learning fields.

Our projects include aspects such as active learning, model diagnostics, explainable AI, auto-ML, big data, approximate reasoning and neuro-symbolic approaches.

We work both on big in-house projects as well as cooperate with partners in specific implementations.

What you need to know (must have)

  • You must be proficient - on at least mid / regular level in one or more of the following :
  • Active Learning
  • Machine Learning with non-tabular data; in areas such as computer vision or sound processing;
  • Deep understanding of ML models - theory, practice, common pitfalls
  • Ability to critically read scientific texts and apply methods that are described in scientific literature
  • Experience with developing custom programming libraries, designing APIs and / or pipelines
  • Advanced Python
  • 3+ years of work experience in Machine Learning or Data Science
  • Git.
  • Your main future tasks will be :

  • data analysis;
  • programming in Python (e.g. libraries and tools);
  • reading scientific texts;
  • applying, testing and modification of state of the art machine learning algorithms as well as novel solutions;
  • code reviews;
  • participation in an Agile development process.
  • We offer :

  • market-based salary adjusted to your skills;
  • private medical care;
  • multisport card;
  • flexible working hours;
  • internal trainings;
  • mentors;
  • 10% of work time for self-development;
  • good coffee;
  • the possibility of reconciling work and studies.
  • The non-EU citizens please kindly note that to be accepted you need to have the residence and work permit in Poland already obtained.

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