OneSource Consulting
Artificial Intelligence Engineer
OneSource ConsultingBelgium5 days ago
Full-timeInformation Technology

JOB TITLE:SENIOR AI/NLP ENGINEER

LOCATION:BRUSSELS, BELGIUM

LANGUAGES:ENGLISH

CONTRACT DURATION:LONG TERM

ONLY EU CITIZENS REQUIRED



JOB DESCRIPTION

  • Design, implement, and optimize advanced AI, NLP, and ML models using LLMs, RAG frameworks, and state-of-the-art architectures.
  • Develop methods for tokenization, NER, classification, and clustering, including fine-tuning pre-trained models for domain-specific tasks.
  • Contribute to the design of ML application stacks, focusing on robust, scalable Python code and model server optimization.
  • Conduct deep research on AI/ML trends to integrate the latest advancements into existing products and services.
  • Collaborate with teams to embed AI solutions into workflows and participate in peer reviews for continuous improvement.
  • Lead rigorous experimentation and A/B testing to improve model accuracy, efficiency, and scalability.
  • Create comprehensive reports and visual insights to translate complex findings for stakeholders.
  • Maintain high standards through unit testing, continuous code delivery, and thorough technical documentation.


QUALIFICATIONS:

What would make you a fit for the role:

  • University degree in IT, Computer Science, Engineering, or equivalent, preferably specializing in AI with at least 8 years of professional experience.
  • Advanced Python proficiency with expert knowledge of libraries (Pandas, SpaCy, NLTK, Hugging Face) and AI code assistants.
  • Hands-on experience with frameworks like TensorFlow or PyTorch and Transformer-based architectures (e.g., GPT).
  • Proficiency in SQL (PostgreSQL, Oracle) and NoSQL databases (Elasticsearch, MongoDB).
  • Solid understanding of scalable ML solutions, including GPU resource optimization and model serving.
  • Strong background in statistical modeling, experimental design, and bias mitigation techniques.
  • Expertise in predictive/prescriptive modeling, topic detection, or recommendation systems.
  • Excellent English skills (written/oral) with the ability to explain complex data insights to non-technical audiences.

Key Skills

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