Medior AI Engineer

LACO
Diegem (Machelen), Belgium
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

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
+16 more
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

Job description

As our Medior AI Engineer, you will go beyond supporting projects. You will actively shape real-world AI in close collaboration with data scientists, data engineers and software developers. From designing and deploying scalable, reliable AI models and building pipelines to experimenting with Generative AI, you’ll turn complex challenges into scalable solutions while growing your expertise every step of the way. Your job 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 Your job 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

Requirements

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 Your skills 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

Benefits & conditions

An exciting career opportunity in a dynamic environment, offering a competitive salary that rewards your skills, drive and potential, fully aligned with sector standards Access to innovative, cutting-edge Microsoft data & AI projects to challenge and grow your expertise Continuous learning and guidance from experienced LACO coaches and colleagues Plenty of freedom to take initiative and make your mark A full-time 40-hour workweek with 20 legal holidays and 12 additional compensation days to keep your work-life balance in check A warm, vibrant and supportive culture where teamwork, fun and regular events are part of the DNA Our offer An exciting career opportunity in a dynamic environment, offering a competitive salary that rewards your skills, drive and potential, fully aligned with sector standards Access to innovative, cutting-edge Microsoft data & AI projects to challenge and grow your expertise Continuous learning and guidance from experienced LACO coaches and colleagues Plenty of freedom to take initiative and make your mark A full-time 40-hour workweek with 20 legal holidays and 12 additional compensation days to keep your work-life balance in check A warm, vibrant and supportive culture where teamwork, fun and regular events are part of the DNA Apply in 4 steps 1 Let’s meet! Time to get acquainted. We’ll dive deeper into your specific skills and expertise, and you’ll get the opportunity to ask us anything about how we work and what life is like at LACO. 2 Our second date 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. 3 The final date We’re almost there. Time to meet our HR and Operations Director in our office in Diegem. During a friendly talk, we’ll get to know you and you can get a feel of the atmosphere and culture at LACO. 4 An offer you can’t refuse Next up: getting down to the nitty-gritty. We’ll make you an offer that’s tailored to your needs and expectations, along with a personal onboarding plan. Welcome to the family! Apply in 4 steps 1 Let’s meet! Time to get acquainted. We’ll dive deeper into your specific skills and expertise, and you’ll get the opportunity to ask us anything about how we work and what life is like at LACO. 2 Our second date 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. 3 The final date We’re almost there. Time to meet our HR and Operations Director in our office in Diegem. During a friendly talk, we’ll get to know you and you can get a feel of the atmosphere and culture at LACO. 4 An offer you can’t refuse Next up: getting down to the nitty-gritty. We’ll make you an offer that’s tailored to your needs and expectations, along with a personal onboarding plan. Welcome to the family! Ready to grow as a Medior AI Engineer? Name This field is for validation purposes and should be left unchanged. Name(Required) First name Last name

About the company

Love working in Microsoft Azure and bringing AI concepts to life? LACO has the perfect role for you., Hi, I’m Anne. I look forward to getting to know you and exploring together whether LACO could be the right place for you to grow. Belgian data & analytics expert, turning data into lasting business value. Our expertise Let’s talk Ready to talk about your data? Want to join us? Want to follow us? © LACO NV 2026 | | | | Imagined by Manage Consent To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions. Functional Functional Always active The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. Preferences Preferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. Statistics Statistics The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you. Marketing Marketing The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.

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