Skip to content

ATS4IT Belgium

NewBe an early applicant

Data Scientist ( Python & Machine Learning) French speaking

Posted Updated
Discussion
Find people

Description

ATS4IT supports its clients in their digital transformation initiatives and AI driven innovations, in different sectors and it's a part MoOngy Group, with over 9,500 employees across Europe, we bring extensive expertise across a wide range of IT domains. With teams in Belgium, Denmark, and a nearshore center in Portugal, we deliver proximity, agility, and real impact across Europe.

Data Scientist ( Python & Machine Learning) French speaking

Location: Brussels (Hybrid) Languages: Fluent French and English

About the Role

We are looking for a Python Machine Learning Engineer to develop and deploy AI-driven solutions that enhance marketing and customer engagement initiatives. You will work on advanced Machine Learning, NLP, and Generative AI use cases, leveraging LLMs, predictive models, and customer journey analytics to deliver actionable business insights and impactful campaigns.

Profile

- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field.
- Minimum 5 years of experience in Machine Learning, Data Science, or AI Engineering.
- Strong analytical and problem-solving skills.
- Experience working with business stakeholders and translating business needs into AI solutions.
- Excellent communication and presentation skills.

Requirements

Mandatory

- Expert-level proficiency in Python .
- Strong experience with Python Data Science and Machine Learning ecosystems:- Scikit-learn
- Transformers
- PyTorch
- TensorFlow

- Proven experience fine-tuning, evaluating, and deploying Large Language Models (LLMs) and embedding models in production environments.
- Expertise in:- Retrieval-Augmented Generation (RAG)
- Text Classification
- LLM Guardrails
- Explainability & Interpretability
- AI Model Validation

- Strong knowledge of statistical methods, experimental design, and machine learning algorithms.
- Hands-on experience with MLflow for experiment tracking, model versioning, and MLOps workflows.
- Experience in customer journey modeling and Next Best Action recommendation systems.
- Strong knowledge of SQL .
- Experience with Git and Bash .
- Experience deploying and monitoring AI solutions in production.

Key Responsibilities

- Design, build, and deploy Machine Learning and Generative AI models.
- Translate business needs into scalable AI solutions.
- Develop models to support customer journey and marketing optimization initiatives.
- Build and maintain RAG-based applications and LLM-powered solutions.
- Develop automated summarization and NLP models.
- Create pipelines to clean, structure, and analyze customer and web analytics data.
- Monitor, maintain, and improve AI models in production.
- Apply Responsible AI principles, explainability standards, and validation frameworks.
- Design experiments and evaluate model performance and business impact.
- Present technical findings and recommendations to business stakeholders.

Technical Environment

- Python
- Scikit-learn
- Transformers
- PyTorch
- TensorFlow
- Large Language Models (LLMs)
- RAG
- NLP
- MLflow
- SQL
- Git
- Bash
- MLOps
- CI/CD
- Customer Journey Analytics
- Next Best Action Models
- AI Governance & Explainability

What We Offer

- Permanent Contract (CDI) – Long-term stability.
- Attractive salary based on your experience and skills.
- Additional benefits: Meal vouchers and eco-vouchers (electronic), DKV hospitalization insurance, company laptop, holiday allowance, and year-end bonus.
- Free training (technical, behavioral, language) and certifications.
- Continuous and personalized career progression support.
- Opportunities to work on projects with cutting-edge technologies.

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. If you have the skills for the role, we encourage you to apply!

Skills

Apply