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# Machine Learning Engineer

- **Company:** Data Wizards Solution
- **Location:** Machelen, Belgium
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Cloud Computing, Continuous Integration, Python (Programming Language), Machine Learning, Tensorflow, Standard Sql, Systems Integration, Pytorch, Large Language Models, Prompt Engineering, Containerization, Scikit Learn, Information Technology, Machine Learning Operations
- **Published:** August 28, 2026
- **Apply:** https://www.adzuna.be/details/5830151551

## About the Role

* You have a Master's degree in Computer Science, Engineering, or another STEM field
 * You have 3+ years of hands-on experience delivering AI/ML solutions in production
 * You have experience in client-facing role, especially in consulting companies

Technical Skills

 * Solid expertise in designing, training, and optimizing ML models using frameworks like Scikit-learn, TensorFlow, or PyTorch.
 * Hands-on experience with LLM, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) is a strong advantage.
 * Solid expertise in AI/ML (experience with LLMs is a strong advantage)
 * Strong Python and SQL skills
 * Proven track record in deploying models at scale
 * CI/CD, APIs, containerization, orchestration, and model serving
 * Cloud experience (Azure is a plus)

Soft Skills

 * You are able to work independently and take on projects from intake to delivery
 * "Can do" attitude and hacker mentality
 * Curious and always willing to improve
 * Ability to communicate technical results to non-technical people

Languages: Fluent in English. French or Dutch Native.

## Description

As a Machine Learning Engineer, your mission would include:

 * Translating business needs into technical ML requirements
 * Designing, deploying, and maintaining ML solutions in production
 * Integrating models into client systems and ensuring scalability, reliability, and performance
 * Building cloud-based ML pipelines following MLOps best practices
 * Packaging, serving, and monitoring models in real-world environments
 * Communicating insights and results to non-technical stakeholders to drive real client impact
 * But being a consulting company, we can't know in advance what your exact responsibilities will be ️


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