Senior AI & NLP Engineer - All European Careers

AIToolboard; Brussel Hoofdstad; Presencial; EUR 90 000 - 130 000; Tempo integral

Resumo da oferta

European Institution in Brussels is seeking a Senior AI & NLP Engineer for contract work. The role focuses on NLP/ML/AI software development, model training, and data architecture design. Fluency in English is required, and a work permit is needed but not provided.

The candidate will interact with data stewards, define data controls, and contribute to BI/reporting tooling while aligning with master-data management concepts. Remote work is not indicated.

Qualificações

• Bachelor or Master degree in a relevant field.
• 9+ years of IT experience.
• Fluent in English.

Responsabilidades

• Development and maintenance of NLP/ML/AI software.
• Train ML models on structured and unstructured data.
• Design data architectures for NLP/ML/AI systems.
• Ensure data quality and derive IT requirements.
• Provide expert advice on AI and Data Warehouse tech.
• Develop BI/reporting software following reference architecture.

Conhecimentos

Perl

Python

Matlab

R

SpaCy

NLTK

scikit-learn

pandas

ML techniques

AI frameworks

SQL

NoSQL

AWS

Azure

Linux

Bash

Data visualization

Formação académica

Bachelor or Master degree

Ferramentas

MongoDB

Cassandra

HBase

D3.js

GGplot

Descrição da oferta de emprego

All European Careers Seville, US

Contractor

About the Role

JFor an European institution in Brussels, Belgium, we are looking for a Senior AI & NLP Engineer. Candidates need to be fluent in English. A work permit is required, but not provided. This position is open for contractors.

Tasks and Responsibilities

• Development and maintenance of software applications in the field of Natural Language Processing (NLP), Machine Learning (ML) and/or ArtificialIntelligence (AI);
• Training of custom machine learning / deep learning models based on structured and unstructured data;
• Selecting features, building and optimizing classifiers using ML techniques;
• Develops aiming at improving the quality of machine translation (MT) engines for each installed language pair;
• Interact with data stewards and other IT stakeholders to define the data rules;
• Define data controls and implement actions to ensure data quality and integrity;
• Creating automated anomaly detection systems and constant tracking of its performance;
• Data mining using state-of-the-art methods;
• Processing, cleansing, and verifying the integrity of data used for analysis;
• Design the IT architecture for solitons in the NLP / ML / AI fields, and coordinate its implementation considering master- and meta-data management concepts;
• Analyse data architecture for consistency, completeness, accuracy and reasonableness;
• Contributing for the analysis of data management vision, strategy and policy and derive the IT requirements;
• Provision of expert advice and assistance in any area associated with the AI and Data Warehouse technologies;
• Perform design, development and maintenance of BI and reporting software that both follow the reference architecture rules and accurately implement the specifications;
• Assistance and support to the Advanced Analytics developers;
• Provision of technical studies, technical expertise, technical evaluations in relation with AI systems;

Profile

• Bachelor or Master degree;
• +9 years of IT experience;
• Excellent experience of Perl, Python, Matlab, R and its NLP/ML libraries (SpaCy, NLTK, scikit-learn, pandas…);
• Strong experience with ML techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Network, and AI frameworks;
• Experience in the field of corpus based linguistics and alignment models and classification methods;
• Experience with data analytics over big datasets, non-structured databases as well as data lakes;
• Previous experience with Data Management, Database Mining systems and in Big Data technologies;
• Experience with AWS and/or Azure, Oracle RDBMS and PL-SQL;
• Previous exposure with Linux, Unix, Bash and scripting languages;
• Good knowledge of natural language processing systems lifecycle and agile software development methodologies;
• Good knowledge of quality assurance and quality control for machine translation (MT) and experience with MT quality procedures, testing methodologies and tools, such as automatic quality metrics (BLEU scores and similar) and human evaluation of MT quality;
• Some experience with query languages, such as SQL, Hive, Pig, etc;
• Knowledge of NoSQL databases, such as MongoDB, Cassandra, HBase, etc;
• Knowledge of data visualisation tools, such as D3.js, GGplot, etc;
• Certification in AWS Certified Machine Learning or Microsoft Azure AI Engineer Associate or SAS Certified Professional AI and Machine Learning Certification is an Advantage;
• Fluent in English;

Following countries are part of the European Union: Austria, Belgium, Bulgaria, Croatia, Republic of Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain and Sweden.