Job Specifications
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.
About the Company
We are a global digital transformation company that puts organizations at the forefront of innovation, by bringing together talent, knowledge and technology.
With our digital solutions, we lead people and organizations around the world on their transition towards the future. Our 4,900 experts in 26 countries across Europe, America and Asia work alongside our clients, partners and key industry players to deliver best-in-class digital innovation that shapes the landscape of banking, retail, insurance, public administration, u...
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