Data Scientist (NLP)

Location: Brussels, Belgium; hybrid working model

Company

hirify.global builds responsible digitalisation solutions for EU institutions and public and private organisations, with over 8,900 professionals across Europe.

What you will do

• Design, implement, optimize, and fine-tune advanced AI, NLP, and machine learning models, including LLMs, RAG frameworks, and Transformer-based architectures.
• Develop text-mining methods for tokenization, part-of-speech tagging, named entity recognition, classification, clustering, and related tasks.
• Build robust, scalable Python code and contribute to ML application architecture, solution stacks, model servers, and GPU resource optimization.
• Integrate AI/ML solutions into existing products and services in collaboration with cross-functional teams.
• Conduct research, experimentation, A/B testing, and analysis to improve model accuracy, efficiency, and scalability.
• Create reports and visualizations, participate in peer reviews, and communicate findings to stakeholders.

Requirements

• Bachelor’s degree and at least 8 years of relevant hands-on experience in data science, advanced analytics, and/or AI/ML engineering.
• Excellent knowledge of English.
• Experience in machine learning, natural language processing, linguistics, and text-processing techniques.
• Excellent knowledge of Python and libraries such as Pandas, SpaCy, NLTK, and Hugging Face.
• Experience with deep-learning frameworks such as TensorFlow or PyTorch.
• Experience with AI-powered code assistants and awareness of advances in AI-driven coding technologies.
• Good knowledge of SQL tooling, including Oracle and PostgreSQL.
• Knowledge of NoSQL databases such as Elasticsearch and MongoDB, plus scalable ML solution architecture.
• Experience with A/B testing, experimental design, pre-trained models, LLMs such as GPT, and Transformer-based architectures.
• Experience with Matplotlib and Seaborn, continuous code delivery, and unit testing.

Culture & Benefits

• Hybrid work in a modern environment.
• Competitive compensation and benefits, including a hospitalization plan and meal allowance.
• Mobility budget or commuting allowance, if applicable.
• Well-being activities on premises.
• Continuous learning through Udemy for Business and ad-hoc training.
• Personalized development planning and work on large-scale projects impacting millions of citizens.

Hiring process

• Upload a CV in English via the Apply button.
• Applications are treated as strictly confidential.