Senior Ai & Nlp Engineer - Relocation To Brussels

All European Careers; Mos; Híbrido; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

All European Careers is seeking a Senior AI & NLP Engineer to develop and maintain software in NLP, ML and AI, with relocation to Brussels. You will lead model training, feature selection and system design for scalable NLP pipelines.

Applicants should have 9+ years in IT, deep expertise in Python and NLP libraries, and experience with ML algorithms. Candidates must be fluent in English and willing to relocate; European candidates are welcome to apply.

Formación

• Bachelor or Master degree in a relevant field.
• 9+ years of IT experience and strong background in AI/ML/NLP.
• Fluent in English and willingness to relocate to Brussels.

Responsabilidades

• Develop and maintain software applications in NLP/ML/AI.
• Train custom ML/deep learning models on structured and unstructured data.
• Design data architecture and governance for ML/AI projects.
• Improve MT and NLP pipelines and data quality.
• Collaborate with data stewards, IT teams and stakeholders.

Conocimientos

Python

Perl

Matlab

R

SpaCy

NLTK

scikit-learn

pandas

k-NN

Naive Bayes

SVM

Neural Networks

AWS

Azure

Big Data

Data Analytics

Data Mining

SQL

NoSQL

Data Visualization

Educación

Bachelor or Master degree

Herramientas

SpaCy

NLTK

scikit-learn

pandas

AWS

Azure

Oracle RDBMS

PL-SQL

Linux

Unix

Bash scripting

Descripción del empleo

Senior AI & NLP Engineer - relocation to Brussels All European Careers Castro e Marzán, Galicia, Spain

Descripción del trabajo

Join our dynamic international team and embrace the adventure of working abroad!

We are looking for a Senior AI & NLP Engineer for the development and maintenance of software applications in the field of Natural Language Processing (NLP), Machine Learning (ML) and/or Artificial Intelligence (AI).

European candidates are welcome to apply. Candidates need to be willing to relocate in Brussels.

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 Artificial Intelligence (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.