Machine Learning Engineer Job ID JP054754

ITProposal


Job Location:

Brussels - Belgium

Monthly Salary: Not Disclosed
Posted on: 5 days ago
Vacancies: 1 Vacancy

Job Summary

Machine Learning Engineer

We are looking for a Machine Learning Engineer to design build deploy and maintain production-ready machine learning solutions that enhance business processes and digital services. You will work closely with data engineers software developers architects and business stakeholders to deliver scalable reliable and compliant ML solutions across both Azure and on-premises environments.

Key Responsibilities

  • Prepare transform and validate data from multiple sources for machine learning use cases.
  • Design train test and optimize ML models for classification regression forecasting scoring and detection.
  • Develop feature engineering processes and ensure data quality and reproducibility.
  • Deploy machine learning models into production through APIs backend services and batch processes.
  • Build and maintain ML pipelines CI/CD workflows and MLOps processes.
  • Monitor model performance data drift model drift latency and system reliability.
  • Implement version control for code datasets configurations and ML models.
  • Collaborate with cross-functional teams to integrate ML solutions into existing applications.
  • Document technical implementations and contribute to ML engineering best practices.
  • Ensure solutions comply with relevant regulations including the European AI Act.

Required Skills & Experience

  • Strong experience with Python for data science and machine learning development.
  • Experience with machine learning frameworks such as Scikit-learn PyTorch LangGraph Ollama and related open-source tools.
  • Knowledge of feature engineering data preparation model validation and SQL.
  • Experience deploying ML components into production applications and backend services.
  • Familiarity with Docker CI/CD pipelines version control and deployment of ML services.
  • Experience with MLOps experiment tracking model registry workflow orchestration and Azure DevOps.
  • Knowledge of monitoring tools for ML systems including logging metrics drift detection OpenTelemetry and Dynatrace.
  • Experience with Azure and C#/.NET/Blazor is an advantage.

Languages

  • Native-level Dutch or French.
  • Good understanding of the second national language.

Work Arrangement

  • Hybrid role with 2 days onsite per week in Brussels and 3 days remote.
Machine Learning Engineer We are looking for a Machine Learning Engineer to design build deploy and maintain production-ready machine learning solutions that enhance business processes and digital services. You will work closely with data engineers software developers architects and business stakeho...