Machine Learning Engineer supporting the Enterprise Machine Learning team in developing advanced solutions. Collaborating with stakeholders and driving data science initiatives in a hybrid work environment.
About the role
- Senior Machine Learning Engineer specializing in AI/NLP for a major European Institution in Belgium. Collaborating with cross-functional teams to deliver state-of-the-art solutions in a hybrid environment.
Responsibilities
- Design, implement and optimise advanced AI, NLP, and ML models. Use 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;
- 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;
- Develop comprehensive reports and visualisations to communicate insights and findings to stakeholders.
Requirements
- University degree in IT combined with relevant IT professional experience of 17 years;
- 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 with pre-trained models and LLMs like GPT, and other Transformer-based architectures;
- Experience with tools like Matplotlib and Seaborn for creating data visualizations;
- Experience with AI-powered code assistants (e.g., Amazon Q, Github Copilot), staying updated with advancements in AI-driven code technologies;
- 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, GPU resource optimisation;
- Experience with A/B testing and experimental design of ML models;
- Strong understanding of linguistics and text processing techniques;
- Proficient in continuous code delivery and unit testing;
- Knowledge in one of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), topic detection, plagiarism detection, trends/anomalies detection in datasets, recommendation systems;
- Familiarity with leveraging graph science techniques to solve complex data problems within social networks, knowledge graphs;
- Excellent command of the English language.
Benefits
- If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: **(19510/02/26).**
- We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential.
- You may also consider all our other open vacancies by visiting the career section of our web site (www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
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