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Medior Databricks Data Engineer
Laco —Diegem
We’ll make you an offer that’s tailored to your needs and expectations, along with a personal onboarding plan. Then LACO has a role you’ll want to dig into.
6 h
Senior Databricks Data Engineer
Laco —Diegem
Stay at the forefront with Azure, Databricks and big data technologies and promoting innovative approaches within the team.
6 h

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : programmeur (brussels, bru)

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Medior AI Engineer

Laco -
Diegem

Soumettre votre candidature

Détails de l'emploi

Temps plein
Il y a 6 heures

Qualifications

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

Description complète du poste

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.

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

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

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
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

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 grow as a Medior AI Engineer?

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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.

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