Data Scientist (AI/NLP/ML)

А global digital transformation company with a team of more than 4,900 global players in 26 countries – in Europe, America and Asia, working together to put organizations at the forefront of innovation by bringing together talent, knowledge and technology.

Our approach is based on conscious technology, through which we create positive environments and meaningful opportunities, always in our own way, making the complex simple.

VASS BeNeLux, in partnership with the European Commission, is currently seeking an Expert Indicates the title of the offer to work from the European Commission.

The role:

Nature of tasks:

▪ Integration and maintenance of software applications or services in the field of

Artificial Intelligence (AI) in different technologies such as: Natural Language Processing

(NLP); Machine Learning (ML); Information Extraction; Knowledge Graphs (KG) or Graph

Data Science (GDS).

▪ Market studies and technical evaluation of advanced commercial or open-source

products or services in the above fields;

▪ Training of custom machine learning / deep learning models based on structured and

unstructured data;

▪ Prompt engineering on Large Language Models and validation of results with the

business/policy officers.

▪ Implementation of Retrieval Augmented Generation (RAG) techniques.

▪ Selecting features, building and optimizing classifiers using machine learning techniques;

▪ Interact with policy officers, data stewards and other stakeholders to understand

business and data needs, turn them into use cases, prototypes or statements of work and

eventually support the solution acceptance process;

▪ Define data controls and implement actions to ensure data quality, integrity and

performance

▪ Data mining using state-of-the-art methods;

▪ Design the IT architecture and hosting solutions and coordinate its

implementation considering cloud technologies, containers, DevOps, master- and meta

data management concepts and security;

▪ Contributing to the analysis of data management vision, strategy and policy and derive the

IT requirements

Specific expertise:

• Practical knowledge of Perl, Python, Matlab, R and their NLP/ML
• libraries (SpaCy, NLTK, scikit-learn, pandas…).
• Excellent knowledge of machine learning techniques and algorithms,
• such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Network,
• and/or artificial intelligence frameworks. Excellent knowledge of Large
• Language Model prompt engineering. Excellent knowledge of Retrieval
• Augmented Generation techniques.
• Excellent knowledge of data management and analytics, including data
• quality. Excellent knowledge of advanced data retrieval tools.
• Good knowledge of AWS, Azure or other cloud platforms.
• Good knowledge of machine learning systems lifecycle.
• Good knowledge of software development methodologies such as Agile
• or RUP.
• Practical knowledge of query languages, such as SQL, Hive, Pig, etc and
• with information extraction. Practical knowledge of Python.
• Knowledge of NoSQL databases, such as MongoDB, Cassandra, HBase,
• Neo4j, etc
• Experience with data analytics over big datasets, non-structured
• databases as well as data lakes, including data visualisation tools for
• connected data (e.g. D3.js, knowledge graphs, etc.)
• Good knowledge of applied statistics, such as distributions, statistical
• testing, regression, etc.

You have:

Certifications:

• AWS Certified Machine Learning
• Microsoft Azure AI Engineer Associate SAS Certified Professional AI and Machine
• Learning Certification.

Education:

• Master's Degree

If you want to join a dynamic company where technological challenges will be found in your day to day we are waiting for you in the great VASS team.

And we encourage you to be the best version of yourself: Transformative, Creative, Honest, Vibrant!

At VASS we take action every day to achieve a favourable environment that facilitates and promotes equal opportunities, non-discrimination, diversity and inclusion of all people. We select our talent based on business needs, skills and merits. 🌟