Senior AI Engineer / Data Scientist – Generative AI & Applied Machine Learning
Languages:
Fluent in
English
and either
Dutch
or
French
Education:
Master's degree (or equivalent experience) in
Statistics, Mathematics, Engineering
, or a related quantitative field
Experience:
Minimum
6 years
in
Data Science and Analytics
Function Description
As a
Senior AI Engineer / Data Scientist
, your main responsibilities will include:
* Tackling complex business challenges by creating
AI-powered applications
(e.g., virtual assistants) to enhance customer experiences and internal efficiency.
* Ensuring the integration of
data science and AI features
that enhance solution quality and meet the defined
business accuracy targets
, using measurable input-output metrics.
* Building and maintaining
objective evaluation frameworks
— including
ground truth datasets
and
relevant metrics
— to monitor and improve model performance.
* Preserving
GenAI application quality
by identifying and mitigating issues such as
toxicity, hallucinations, and adversarial attacks
, through
red teaming
and
AI guardrails
.
* Applying a broad range of
AI methodologies
(generative and predictive):
* GenAI techniques:
Prompt engineering, RAG, fine-tuning, agentic applications, speech-to-text, image generation/interpretation, NLP.
* Machine learning & statistics:
Classical ML methods and quantitative modeling.
* Demonstrating strong programming skills in
Python
, contributing to
deployment of AI models in production
using modern MLOps and software engineering tools.
* Collaborating with
top management
to communicate insights, business impact, and value creation through AI.
* Leveraging one of the richest and most diverse data ecosystems in the market to develop high-impact solutions.
* Working within an
Agile organization
that values
innovation, teamwork, and continuous learning
.
Technical Skills
Mandatory:
* Python
* Deep Learning frameworks
* Large pre-trained language and multi-modal models
* Data-centric and Responsible AI practices
Preferred:
* Domino, Git
* GenAI frameworks and tools (Prompt Engineering, Fine-tuning, RAG, Agentic Frameworks such as ADK, MCP, etc.)
Business Experience
Mandatory:
* Proven experience in Data Science applied to business environments
Preferred:
* Experience in
GenAI applications for Finance
Soft Skills
* Strong
team player
with a collaborative mindset
* Business-oriented
and solution-driven
* Proactive
and autonomous with a quick learning curve
* Excellent
communication and influencing
skills
* Strong
analytical and synthesis
abilities
* Demonstrated
commitment, perseverance,
and adaptability
* Comfortable working in a
dynamic, multicultural environment