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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : lead (ai) application engineer

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Senior AI Engineer

Laco -
Diegem

Soumettre votre candidature

Détails de l'emploi

Temps plein
Il y a 8 jours

Qualifications

TensorFlow
CI/CD
Azure
PyTorch
Docker
Machine learning
Terraform
Intelligence artificielle
Python
IaaS

Description complète du poste

Do you speak fluent Python? Does automating MLOps pipelines on Microsoft Azure and fine-tuning GPTs sound like your idea of a good time? Great, then LACO has a challenge with your name on it.

As our Senior AI Engineer, you own the end-to-end delivery of AI solutions on Microsoft Azure. You won’t just be building models, you will be delivering real-world AI. Working closely with cross-functional teams, you’ll architect, develop, and deploy high-performance, scalable AI models that drive real business value. From fine-tuning large language models to shaping MLOps pipelines, you’ll lead projects with impact and help others grow along the way.

Your job

Lead the design, development and deployment of machine learning models using Azure Machine Learning
Lead the design, development and deployment of Generative AI applications and AI copilots using Azure AI Foundry
Architect and implement end-to-end data and MLOps pipelines for training, deployment, monitoring and CI/CD automation
Overseeing and optimising AI solutions in production to ensure scalability, reliability and performance
Champion responsible AI principles, ensuring fairness, explainability and privacy across all projects
Collaborate with stakeholders and cross-functional teams to deliver AI solutions that generate measurable business value
Mentor and guide junior engineers in best practices for ML development, MLOps and Azure-based AI solutions

Your job

Lead the design, development and deployment of machine learning models using Azure Machine Learning
Lead the design, development and deployment of Generative AI applications and AI copilots using Azure AI Foundry
Architect and implement end-to-end data and MLOps pipelines for training, deployment, monitoring and CI/CD automation
Overseeing and optimising AI solutions in production to ensure scalability, reliability and performance
Champion responsible AI principles, ensuring fairness, explainability and privacy across all projects
Collaborate with stakeholders and cross-functional teams to deliver AI solutions that generate measurable business value
Mentor and guide junior engineers in best practices for ML development, MLOps and Azure-based AI solutions

You have at least 5 years of experience as a senior AI or ML engineer, taking end-to-end ownership of AI projects (desig, development and deployment)
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 bring extensive hands-on experience with the Microsoft Azure ecosystem, including Azure Machine Learning, Azure Data Lake, Azure Data Factory, Azure DevOps, AKS and AI Foundry
You are familiar with OpenAI’s GPT-4 Turbo with Vision, Falcon, Stable Diffusion, LLaMA 2, Mistral, and Gemma, and understand hybrid and semantic search for retrieval-augmented generation (RAG) applications
You apply best practices in MLOps, including version control, experiment tracking and automated pipeline deployment
You are skilled in CI/CD, Docker and IaaS (ARM, Bicep or Terraform) to support robust, scalable AI workflows
You are experienced in analysing and optimising model performance, and implementing improvements for production-grade AI systems
You combine strong analytical and problem-solving skills with the ability to guide teams and communicate clearly with both technical and non-technical stakeholders

Your skills

You have at least 5 years of experience as a senior AI or ML engineer, taking end-to-end ownership of AI projects (desig, development and deployment)
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 bring extensive hands-on experience with the Microsoft Azure ecosystem, including Azure Machine Learning, Azure Data Lake, Azure Data Factory, Azure DevOps, AKS and AI Foundry
You are familiar with OpenAI’s GPT-4 Turbo with Vision, Falcon, Stable Diffusion, LLaMA 2, Mistral, and Gemma, and understand hybrid and semantic search for retrieval-augmented generation (RAG) applications
You apply best practices in MLOps, including version control, experiment tracking and automated pipeline deployment
You are skilled in CI/CD, Docker and IaaS (ARM, Bicep or Terraform) to support robust, scalable AI workflows
You are experienced in analysing and optimising model performance, and implementing improvements for production-grade AI systems
You combine strong analytical and problem-solving skills with the ability to guide teams and communicate clearly with both technical and non-technical stakeholders

Your skils

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
Continuous learning and access to cutting-edge Microsoft data & AI projects that keep you ahead of the curve
Coaching and guidance from experienced LACO colleagues to help you thrive
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
Continuous learning and access to cutting-edge Microsoft data & AI projects that keep you ahead of the curve
Coaching and guidance from experienced LACO colleagues to help you thrive
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

3

The final date

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 share your experience as senior AI engineer? Get in touch!

Soumettre votre candidature

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