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# Medior AI Engineer

- **Company:** Laco
- **Location:** Diegem (Machelen), Belgium
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Continuous Integration, Infrastructure as a Service (IaaS), Python (Programming Language), Machine Learning, Open Source Technology, Tensorflow, Azure Machine Learning, Azure Data Lake, Search Technologies, Data Ingestion, Azure Data Factory, Pytorch, Delivery Pipeline, Large Language Models, Generative AI, Scikit Learn, HuggingFace, Bicep, Azure AKS, Machine Learning Operations, Stable Diffusion, Terraform, GPT, Software Version Control, Data Pipelines, Docker
- **Published:** June 7, 2026
- **Apply:** https://be.indeed.com/viewjob?jk=4f468ee0728b3193

## About the Role

Do you have experience in Terraform?, * You have at least 2 years of experience as an AI or ML engineer, with hands-on project delivery

 * You are proficient in Python and experienced with ML frameworks such as scikit-learn, TensorFlow and PyTorch, as well as open-source models like Hugging Face.
 * You have worked with OpenAI's GPT-4 Turbo with Vision, Falcon, Stable Diffusion and Llama 2, using hybrid and semantic search to power retrieval-augmented generation (RAG) applications. Familiarity with other LLMs, including Mistral, Llama, and Gemma, is highly valued.
 * You are comfortable to work within the Microsoft Azure ecosystem, including Azure Machine Learning, Azure Data Lake, Azure Data Factory, Azure DevOps, AKS and AI Foundry
 * You apply MLOps practices, including version control, experiment tracking and pipeline automation
 * You are familiar with CI/CD, Docker and IaaS (ARM, Bicep or Terraform)
 * You analyse model performance and implement improvements
 * You combine strong analytical thinking with a hands-on problem-solving mindset

## Description

* Support the development and implementation of AI solutions on our client's Azure platform
 * Deploy machine learning models using Azure Machine Learning Studio
 * Develop Generative AI applications, including AI copilots, using Azure AI Foundry
 * Build data pipelines for data ingestion, training and deployment (CI/CD) of models
 * Monitor, adapt and maintain AI solutions within a production environment
 * Apply responsible AI principles such as fairness, explainability and privacy in every step
 * Collaborate with stakeholders and teams to implement AI applications that deliver value, You'll meet one of our team leads or a subject-matter expert. Together, we explore your technical knowledge, your strengths and the topics you feel most confident in. Sometimes we include a small, practical exercise to understand how you think and how approach data challenges.


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