Overview
Scroll down to find the complete details of the job offer, including experience required and associated duties and tasks.
Our client, a dynamic organization in the public services sector, is seeking a specialist to drive the operationalization of machine learning solutions. The role focuses on building robust implementation, monitoring, and scalable ML pipelines within both cloud and on-premise environments.
Responsibilities
Design, build, and maintain production-ready machine learning models and end-to-end ML pipelines.
Process and analyze data from diverse sources to implement feature engineering and ensure data quality.
Translate experimental models into scalable services by integrating them into backend APIs and batch processes.
Establish MLOps practices, including CI/CD processes, version control, and model registry management.
Monitor model performance, latency, and drift to ensure long-term stability and reliability.
Collaborate with cross-functional teams to align technical implementations with the European AI Act.
Qualifications
3+ years of experience in data and machine learning development using
Python .
1+ years of experience with
Machine Learning libraries
such as
scikit-learn ,
PyTorch ,
Langraph ,
Ollama, and
LangChain .
1+ years of experience with
MLOps
practices, including
Azure DevOps ,
CI/CD, and experiment tracking.
1+ years of experience with
containerization
using
Docker
and deployment patterns.
1+ years of experience in
SQL
and data processing within production environments.
1+ years of experience with backend development using
C# ,
.NET, and
Blazor .
Experience with monitoring tools such as
DynaTrace ,
OpenTelemetry, and drift detection.
Strong analytical skills and a proactive, ownership-oriented mindset.
You are fluent in
Dutch
or
French
with a passive knowledge of the other language. xphnsxz
Nice to Haves
Practical knowledge of
Azure
cloud infrastructure.
Details
Start date:
ASAP
Duration:
project length
Work regime:
Full-time
Location:
Brussels
Working model:
Hybrid (2 days onsite per week)
Contract:
open to both permanent employees and freelancers
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