CommIT

Mid Data Science / AI Engineer

CommIT East Flanders, Flanders, Belgium

Software Development · 501-1,000 employees

6 d ago
Mid (2-5 yrs) Full-time Belgium
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About the role

You will develop and deploy machine learning and AI solutions, focusing on LLM-based systems and modern NLP applications. You will also collaborate with senior engineers to build scalable and reliable AI-driven products.

What they look for

Python Machine Learning AI LLM NLP Deep Learning TensorFlow PyTorch SQL NoSQL Docker Object-oriented programming RAG Vector databases AWS Google Cloud

Requirements

Candidates must have 3+ years of commercial experience in Data Science or AI engineering with strong Python and software engineering fundamentals. Proficiency in deep learning frameworks, SQL, NoSQL, and Docker is required, along with 1+ year of experience in LLM and NLP tasks.

Full description

We are building scalable, production-grade AI systems that make high-quality financial research accessible and data-driven.

We are looking for a Data Science / AI Engineer to develop and deploy machine learning and AI solutions, with exposure to LLM-based systems and modern NLP applications. You will collaborate with senior engineers to build scalable and reliable AI-driven products.

Requirements

Requirements:

  • 3+ years of commercial experience as a Data Science / AI Engineer
  • Strong Python skills and solid software engineering fundamentals
  • 1+ year of experience with LLM and NLP-related tasks
  • Understanding of modern deep learning architectures
  • Experience with at least one deep learning framework (TensorFlow or PyTorch)
  • Experience with SQL and NoSQL databases
  • Good knowledge of Docker
  • Strong knowledge of object-oriented programming
  • Fluency in Ukrainian
  • Upper-Intermediate or higher level of English (spoken and written)

Nice to Have:

  • Hands-on experience with RAG pipelines and vector databases
  • Experience training or fine-tuning LLMs
  • Experience with cloud platforms (AWS, Google Cloud, Azure)
  • Participation in Kaggle or similar competitions