Senior Machine Learning Engineer AINLP

Brussels - Belgium

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

Our client a leading Software Information and Communication Technologies company operates internationally (Athens Brussels Luxembourg Copenhagen Stockholm London Nicosia Hong-Kong Valetta etc). Our client is a renowned supplier of IT services to government institutions multinational corporations public administrations and multinational companies research and academic institutes.

Role Overview

Our client currently has a vacancy for a Senior Machine Learning Engineer (AI/NLP) fluent in English to offer his/her services as an expert who will be based in Belgium. The work will be carried out either in the companys premises or on-site at customer the context of the first assignment the successful candidate will be integrated with the Development team of the company that will closely cooperate with a major clients IT team on site.

Job type: Full time/Permanent

Location: Brussels Belgium.

Workplace: Onsite

Please note that we can consider only EU candidates for this position due to security clearance.

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.

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.