Data Scientist – NLP
Il y a 1 semaine
Brussels Brussels Region, BRU, Belgique
SoftNice UG
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Assignment description
Data Scientist – NLP / AI (EU Citizens Only)
Location:
Brussels, Belgium (Near-site) We are looking for a Data Scientist with expertise in Natural Language Processing (NLP), Machine Learning, and Large Language Models (LLMs) to design, develop, and optimize AI solutions for large-scale text analysis and data-driven decision-making.
Key Responsibilities
Design, develop, and optimize AI, NLP, and Machine Learning models. Build and deploy solutions using LLMs, RAG frameworks, and transformer-based architectures. Develop text mining capabilities including classification, clustering, named entity recognition, and information extraction. Fine-tune and evaluate machine learning models for domain-specific use cases. Analyze large datasets to generate actionable insights and improve model performance. Collaborate with technical and business stakeholders to integrate AI solutions into existing platforms. Create visualizations, reports, and documentation to communicate findings and recommendations. Contribute to the design and implementation of scalable ML architectures and best practices. Key Skills Machine Learning Natural Language Processing (NLP) Python Hugging Face, SpaCy, NLTK, Pandas PyTorch or TensorFlow LLMs, RAG, Transformer Models SQL (Oracle, PostgreSQL) Elasticsearch, MongoDB Data Visualization (Matplotlib, Seaborn) A/B Testing and Experiment Design MLOps and Model Evaluation Education Bachelor's degree (EQF Level 6) or higher in Data Science, Statistics, Machine Learning, Computer Science, or a related field. Nice to Have Experience with recommendation systems, anomaly detection, forecasting, plagiarism detection, or topic modelling. Understanding of bias mitigation techniques in AI/ML. Knowledge of European Commission environments (eGrants). Required skills Hugging Face models NLP llm Languages English (Proficient)
Location:
Brussels, Belgium (Near-site) We are looking for a Data Scientist with expertise in Natural Language Processing (NLP), Machine Learning, and Large Language Models (LLMs) to design, develop, and optimize AI solutions for large-scale text analysis and data-driven decision-making.
Key Responsibilities
Design, develop, and optimize AI, NLP, and Machine Learning models. Build and deploy solutions using LLMs, RAG frameworks, and transformer-based architectures. Develop text mining capabilities including classification, clustering, named entity recognition, and information extraction. Fine-tune and evaluate machine learning models for domain-specific use cases. Analyze large datasets to generate actionable insights and improve model performance. Collaborate with technical and business stakeholders to integrate AI solutions into existing platforms. Create visualizations, reports, and documentation to communicate findings and recommendations. Contribute to the design and implementation of scalable ML architectures and best practices. Key Skills Machine Learning Natural Language Processing (NLP) Python Hugging Face, SpaCy, NLTK, Pandas PyTorch or TensorFlow LLMs, RAG, Transformer Models SQL (Oracle, PostgreSQL) Elasticsearch, MongoDB Data Visualization (Matplotlib, Seaborn) A/B Testing and Experiment Design MLOps and Model Evaluation Education Bachelor's degree (EQF Level 6) or higher in Data Science, Statistics, Machine Learning, Computer Science, or a related field. Nice to Have Experience with recommendation systems, anomaly detection, forecasting, plagiarism detection, or topic modelling. Understanding of bias mitigation techniques in AI/ML. Knowledge of European Commission environments (eGrants). Required skills Hugging Face models NLP llm Languages English (Proficient)