Expert in Ai/nlp/ml

il y a 2 semaines

Luxembourg EUROPEAN DYNAMICS Temps plein

**Your tasks**
- Development and maintenance of methods and software to identify useful subsets of existing corpora, filtering out the unwanted parts, using combinations of machine learning approaches with explicit (symbolic) rules;
- Acquisition and management of data sources for building improved pre
- and post-processing tools (e.g. morphological and syntactic analysis, re-ordering, re-scoring, quality estimation);

**Requirements**:

- Master’s degree in data-driven computational linguistics, machine learning, artificial intelligence, data mining, or statistical data modelling, including familiarity with data-driven techniques for natural language processing, such as statistical / neural MT, or equivalent, combined with 9 years of relevant professional experience;
- Good knowledge of at least one of: machine learning, natural language processing, machine translation;
- Good familiarity with LLMs and ML toolkits such as Marian;
- In-depth knowledge of setting up and evaluating NLP software, including testing methodologies and tools, such as automatic quality metrics (e.g., BLEU scores and similar for MT) and human evaluation of output quality;
- In-depth knowledge and experience with programming languages used for text processing (e.g. Python);
- Excellent command of the English language.

**Benefits**

If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference **(**15508/06/23**).**

As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.

Furthermore, when providing your data, it is up to you to explicitly consent that your data can be assessed for future job openings, for as long as you do not withdraw such consent. If you do not consent, we will not be able to consider the data you provide to us for future job openings.

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