Senior Machine Learning Engineer - AI/NLP (Information Technology/Software)

Black Pen Recruitment; Brussel Hoofdstad; Sur place; EUR 90 000 - 120 000; Plein temps

Résumé du poste

Black Pen Recruitment is seeking a Senior Machine Learning Engineer (AI/NLP) to join a global IT services team in Belgium. The role focuses on building advanced ML/NLP solutions, leveraging LLMs, transformers, and MLOps practices, with close collaboration to client IT teams on site.

Requirements include a university IT degree, 17 years of relevant experience, expert Python, and hands-on work with TensorFlow or PyTorch, Pandas, spaCy, Hugging Face, and SQL/NoSQL databases.

Qualifications

• University degree in IT with 17 years of relevant experience.
• Extensive ML and NLP expertise across Python libraries.
• Proven experience with TensorFlow or PyTorch.
• Experience with pre-trained models and transformer architectures.
• Strong data visualization and code tooling knowledge.
• Fluency in English; on-site work in Belgium.

Responsabilités

• Design, implement and optimise advanced AI, NLP, and ML models using state-of-the-art approaches.
• Create methods for tokenisation, POS tagging, NER, classification, clustering and other text mining tasks.
• Stay updated on NLP/ML trends and advancements in AI technologies.
• Develop and maintain robust, scalable Python code.
• Collaborate with cross-functional teams to integrate AI/ML solutions into products and services.
• Perform rigorous analysis and experimentation to improve model accuracy and scalability.
• Develop comprehensive reports and visualisations to communicate insights to stakeholders.

Connaissances

Machine Learning

Natural Language Processing

Python programming

LLMs/Transformers

Experimentation & A/B testing

Text processing

Unit testing

Code delivery

English fluency

Formation

University degree in IT

Outils

TensorFlow

PyTorch

Pandas

SpaCy

NLTK

Hugging Face

Matplotlib

Seaborn

SQL (Oracle/PostgreSQL)

NoSQL (Elasticsearch, MongoDB)

GitHub Copilot

Description du poste

Senior Machine Learning Engineer – AI/NLP (Information Technology/Software)

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 company’s premises or on-site at customer premises. In 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 client’s IT team on site.

Job type: Full time/Permanent

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.