Expert in AI/NLP/ML, Luxembourg (near-site) – European Commission at The White Team

Luxembourg, , Luxembourg -

Full Time

Start Date

Immediate

Expiry Date

11 Oct, 26

Salary

300.0

Posted On

13 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Natural Language Processing, Machine Learning, Python, Large Language Models, Machine Translation, Deep Learning, Data Analysis, Stakeholder Management, Technical Documentation, Quality Evaluation, Neural Models, Domain Adaptation, Data Acquisition, Computational Linguistics, Marian Toolkit

Industry

IT Services and IT Consulting

Description

Expert in AI/NLP/ML, Luxembourg (near-site) – European Commission Job role: Expert in AI/NLP/ML. Studies required: Master’s Degree in IT or a related field (5 years). Language: English (C1) MANDATORY. Location: Luxembourg (near-site). DESCRIPTION We are seeking an AI/NLP/ML Expert to support the European Commission in Luxembourg. The role focuses on the research, design, development, and evaluation of advanced AI-driven Natural Language Processing solutions, including Large Language Models (LLMs), Machine Translation (MT), and machine learning applications. The successful candidate will work with large-scale multilingual datasets, develop and optimize NLP systems, define quality evaluation frameworks, and contribute to the improvement of language technologies through data acquisition, model training, and performance analysis. The position requires strong expertise in AI, NLP, machine learning, Python programming, and data-driven language technologies, combined with excellent analytical, communication, and stakeholder management skills in an international environment. English (C1) is mandatory. Description of the tasks: · Exploration of ways to use large language models (LLMs) and other types of artificial intelligence (AI) technology to build natural language processing (NLP) applications. · Design, implementation, and evaluation of AI-based NLP applications, including but not limited to machine translation (MT) engines. · Definition of criteria for quality evaluation applicable to the datasets used to build NLP applications, concerning both the training data and the test data sets. · Application of advanced data analysis and machine learning techniques, including "deep learning" based on neural models, to MT-related tasks, including, but not limited to domain adaptation. · 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 that are helpful to improve MT performance and quality, such as parallel, comparable, and monolingual corpora (including data crawled from the Web or artificial parallel corpora via back-translation). · 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. · Acquisition and management of data sources for building or improving AI-based NLP applications other than MT engines. · Consulting the development team on integrating these additional data sources into a working solution on a software level. · Consulting on quality improvements; assessing the impact of changes to the NLP applications on output quality and other performance criteria. · Participation in functional working groups and progress meetings. · Participation in scientific conferences and workshops related to Artificial Intelligence, Natural Language Processing, Machine Translation and underlying technologies. · Contribution to and analysis of implementations made to cover specific needs of customers, for example through the creation of domain-specific MT engines or specific algorithms. · Analysis of benefits and risks of such changes concerning the overall quality of the eTranslation service. · Interaction with the business analysts, customer, users, project leaders and the developers. Knowledge and skills: An advanced university 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 experience. Very good knowledge and professional experience in the area of artificial intelligence or natural language processing. 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). Ability to implement prototypical solutions efficiently and fast and to evaluate them on very large amounts of textual data. Ability to give business and technical presentations. Ability to apply high quality standards. Ability to cope with fast changing technologies used in NLP, MT, and machine learning. Very good communication skills with technical and non-technical audiences. Analysis and problem-solving skills. Capability to write clear and structured technical documents. Ability to participate in technical meetings and good communication skills. Capability of integration in an international/multicultural environment, rapid self-starting capability and experience in working in team. Ability to participate in multilingual meetings. Ability to work in multi-cultural environment, on multiple large projects. Excellent Team Player. Ability to understand, speak and write EU languages beyond English will be an advantage. High degree of discretion and integrity. Specific expertise: Good knowlegde of at least one of machine learning, natural language processing, machine translation. Certifications & standards: No formal certification required, but good familiarity with LLMs and ML toolkits such as Marian will be assumed. Language: · English (C1) MANDATORY. Location: · Luxembourg (near-site). Rate: · 280-300€/day.

Responsibilities

Research, design, and develop advanced AI-driven NLP solutions and machine translation engines for the European Commission. This includes managing multilingual datasets, defining quality evaluation frameworks, and collaborating with international stakeholders.