Data Scientist – Natural Language Processing
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* 3+ years of experience in Machine Learning and Natural Language Processing
* Excellent knowledge of Python and libraries (e.g. Pandas, SpaCy, NLTK, Hugging Face)
* Experience with deep learning frameworks for complex model architecture such as TensorFlow or PyTorch
* Experience designing, implementing, and optimising advanced AI, NLP, and ML models using LLMs, RAG frameworks, and state-of-the-art approaches
* Experience with pre-trained models and LLMs like GPT and other Transformer-based architectures
* Strong understanding of linguistics and text processing techniques including tokenisation, part-of-speech tagging, named entity recognition, classification, and clustering
* Good knowledge of SQL tooling (Oracle, PostgreSQL)
* Knowledge of NoSQL databases (Elasticsearch, MongoDB)
* Knowledge of architectural design of scalable ML solutions such as model servers and GPU resource optimisation
* Experience with A/B testing and experimental design of ML models
* Experience with tools like Matplotlib and Seaborn for creating data visualisations
* Understanding of bias in ML applications and bias mitigation techniques
* Proficient in continuous code delivery and unit testing
* Knowledge in one or more of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), topic detection, plagiarism detection, trends/anomalies detection in datasets, or recommendation systems
* EQF6 qualification with focus on Statistics, Data Science, or Machine Learning
* (Desirable) Experience with AI-powered code assistants (e.g. Amazon Kiro, GitHub Copilot) and staying updated with advancements in AI-driven code technologies
* (Desirable) Good knowledge of European Commission grant management ecosystem (eGrants)
* Language(s): English (fluent)
* Eligibility: EU citizenship required##
Job Description
* Design, implement, and optimise advanced AI, NLP, and ML models using LLMs, RAG frameworks, and other state-of-the-art approaches
* Create methods for tokenisation, part-of-speech tagging, named entity recognition, classification, clustering, and other text mining-related tasks
* Fine-tune pre-trained models on domain-specific tasks
* Conduct thorough research and stay updated on the latest trends and advancements in NLP, ML, and AI technologies
* Develop and maintain robust, scalable, and efficient code using Python
* Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services
* Perform rigorous analysis and experimentation to improve model accuracy, efficiency, and scalability
* Participate in peer reviews and contribute to the continuous improvement of AI solutions
* Contribute to the design and implementation of ML application architecture and its solution stack
* Develop comprehensive reports and visualisations to communicate insights and findings to stakeholders
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