Expert in Ai/ Nlp/ Ml

il y a 2 semaines


Brussels, Belgique Seidor Temps plein

We are on the lookout for an** Expert in AI/ NLP/ ML** **to join our team for working with European Institutions based in** **Brussels** in an **near site** position**.**

**Get to know us - SEIDOR**

At SEIDOR, we drive client transformation and competitiveness with cutting-edge technology and innovation, with a relentless focus on the human element and a commitment to nurturing talent and sustainable growth.

As a diverse and inclusive company that champions equal opportunity, we boast a team of over 8,000 professionals in our global presence across 45 countries in Europe, Latin America, the USA, the Middle East, Africa, and Asia.

We believe the digital world's challenges require not only the best technologies and partnerships but most importantly, the best people. That's where you come in - we need you to help us scale new heights.

For this position you would be working with our client from the European institutions. Unit SANTE.R.4 'Information Systems' is in charge of developing, maintaining and operating the DG's information systems at the three geographical sites in Brussels, Luxembourg and Grange. The unit works directly with the policy units on digital solutions to implement SANTE's policies and manages the local IT infrastructure and support.

Below are the details of your role and requirements.

**Your role**:
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 Instructured data.
- Prompt engineering on Large Language Models and validation of results with the
business/policy officers.
- 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

**What’s in it for you?**

From day one, you’ll find opportunities for personal and professional development within a supportive team environment. We offer:

- A permanent role at a leading tech project firm (subcontractor also possible).
- A hybrid work schedule, blending in-office collaboration with the convenience of working from home.
- Continuous learning and development through SEIDOR Academy.
- A package including salary and additional annual bonus, working equipment, phone and other benefits.
- A dynamic international workplace with diverse teams.
- A commitment to your well-being, work-life balance, and career growth.
- Rapid advancement opportunities in a short period of time.
- Engaging events and a comprehensive onboarding program.

At SEIDOR, your growth is our success, and we strive to make our workplace feel like home. Discover the nine core aspects of our culture that define us at SEIDOR:
**Who we think you are**:

- At least 8 years of specific expertise in practical knowledge of Perl, Python, Matlab, R and their NLP/ML libraries (SpaCy, NLTK, scikit-learn, pandas ).
- At least 8 years of specific expertise in 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.
- At least 5 years of specific expertise in excellent knowledge of data management and analytics, including data quality.
- Excellent knowledge of advanced data retrieval tools.
- At least 5 years of specific expertise in good knowledge of AWS, Azure or other cloud platforms.
- At least 5 years of specific expertise in good knowledge of machine learning systems lifecycle.
- At least 5 years of good knowledge of software development methodologies such as Agile or RUP.
- At least 7 years of specific expertise in practical knowledge of query languages, such as SQL, Hive, Pig, etc and with information extraction. Practical knowledge of Python.
- At least 5 years of specific expertise in knowledge of NoSQL databases, such as MongoDB, Cassandra, HBase, Neo4j, etc.
- At least 5 years of specific expertise in experience with data analytics over big datasets, non-structured databases as well as data lakes, including data visualisation tools (e.g. D3.js, knowledge graph



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