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IT International Mobility

AI Data Scientist

IT International Mobility
Belgium ยท Full-time ยท Mid-Senior

Founded in 2005 in Lisbon by three visionary entrepreneurs, MoOngy quickly became a leading group in Engineering and Information Technology (IT) across Europe and North Africa. Today, with a presence in 14 countries and more than 40 subsidiary companies, MoOngy employs over 9,500 talents who share a common passion for innovation and excellence.

The International Mobility Recruitment Department is dedicated to enhancing the mobility of IT professionals throughout Europe, facilitating the placement of talents in the various markets where it operates.


Position: AI Data Scientist

๐Ÿ“ Location: Brussels, Belgium

๐Ÿข Full time; Hybrid (2-3 days/week at client office)

๐Ÿ“œ Type of Contract: Freelance or Permanent Contract preferably

๐ŸŒ Mandatory Languages: English + French or Dutch

๐Ÿ“Œ Eligibility: Candidates must possess European nationality or a valid work permit for Belgium.



Requirements

  • 5โ€“8 years of professional experience as a Data Scientist, preferably in a business environment.
  • Strong business acumen with proven ability to translate business needs into data-driven solutions.
  • Hands-on expertise in data wrangling, statistical analysis, predictive modeling, and machine learning.
  • Advanced proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn.
  • Solid experience with SQL, Databricks, and Power BI.
  • Proven track record in AI/GenAI delivery across POCs, pilots, and industrial processes.
  • Deep knowledge of cloud platforms, ideally Microsoft Azure (Azure AI Services, Azure ML, Azure OpenAI, Vertex AI).
  • Strong expertise in LLM libraries: LangChain, LangGraph, Promptflow, Semantic Kernel, Autogen.
  • In-depth understanding of LLMOps lifecycle including fine-tuning, training, deployment, and monitoring.
  • Experience in GenAI deployment using CI/CD pipelines, GitHub workflows, and tools like Weights & Biases.
  • Excellent collaboration, communication, and stakeholder management skills, with the ability to keep a helicopter view on projects.


Responsibilities

  • Design, develop, and deploy advanced AI and GenAI models aligned with business objectives.
  • Lead AI/GenAI delivery processes from proof of concept to industrialization.
  • Act as a super user within IT AI environments, providing guidance and expertise.
  • Work closely with stakeholders to gather requirements and translate them into actionable data science initiatives.
  • Collaborate with cross-functional teams to integrate AI models into business processes.
  • Monitor, evaluate, and optimize deployed models to ensure accuracy, performance, and reliability.
  • Stay updated with the latest trends in AI, LLMOps, and cloud technologies to continuously enhance solutions.


Advantages of joining MoOngy:

๐ŸŒ International Mobility: Access to a dedicated international mobility department with personalized relocation programs to facilitate your move to a new country.

๐Ÿš€ Career Development: Opportunities to work on projects with cutting-edge technologies across multiple sectors and European markets.

๐Ÿ“š Continuous Learning: Free ongoing training and career-oriented certifications to boost your expertise.

๐Ÿ’ก Personal Growth: Collaborate with professionals from across Europe, exchanging ideas and best practices in IT.

๐ŸŒ Global Network: Become part of a leading global tech community, with access to exciting and challenging projects in different European markets.


At MoOngy Group, we stand for equality and diversity. We create a safe and inclusive environment where opportunities are equal for everyone! We do not discriminate based on age, ethnicity, gender, disability, sexual orientation, or any factor other than merit.

๐Ÿ‘‰ If you have the skills for this role, we encourage you to apply!

Key Skills

Ranked by relevance

ai cloud pandas numpy cicd
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Posted
Sep 05, 2025
Type
Full-time
Level
Mid-Senior
Location
Brussels Region

Industries

IT Services IT Consulting Banking Insurance

Categories

Information Technology Research

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