Medior AI Engineer

Laco
Diegem (Machelen), Belgium
2 months ago

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
Job source

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

  • 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.

Requirements

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

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

About the company

Love working in Microsoft Azure and bringing AI concepts to life? LACO has the perfect role for you.

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

4:57 min

Centralizing LLMOps workflows within Azure AI Foundry

Maxim Salnikov Maxim Salnikov · LIVE

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · WWC 2025

2:56 min

Provisioning a secure container infrastructure with Bicep

Matthias Falkenberg +1 · WWC 2022

40 sec

Generative pre-trained transformer models powering code completions

lgonta lgonta +1 · WWC 2024

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · WWC Europe 2026

4:09 min

Selecting infrastructure tools and determining proper abstraction layers

Alayshia Knighten Alayshia Knighten · WWC 2024

Videos

See all

Related articles

See all