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Senior ai engineer

Roulers
CDI
Indépendant
Laco Information Services
Publiée le 19 mars
Description de l'offre

Ready to lead AI projects that actually go into production?

Do you speak fluent Python, thrive on MLOps, and get excited about building real AI solutions with GPTs and beyond? Then this Senior AI Engineer role might be your next big step.

Why this role is a game-changer

* Lead end-to-end AI projects with real business impact
* Work with cutting-edge tech: GPTs, Falcon, Stable Diffusion & Azure AI Foundry
* Own production-grade AI systems & full MLOps pipelines
* Step into a technical leadership role and mentor others
* Enjoy the freedom to experiment, innovate, and shape the future
* Open to both permanent & freelance talent

What you'll be driving

* Designing and deploying ML models & Generative AI applications on Azure
* Building end-to-end MLOps pipelines (training → deployment → monitoring → CI/CD)
* Ensuring scalability, reliability & performance of AI solutions in production
* Championing Responsible AI (fairness, explainability, privacy)
* Collaborating with stakeholders to deliver real business value
* Mentoring engineers and elevating team capabilities

Who you are

* 5+ years as a Senior AI/ML Engineer with end-to-end ownership
* Strong in Python + ML frameworks (scikit-learn, TensorFlow, PyTorch)
* Experience with LLMs & open-source models (Hugging Face, GPTs, LLaMA, etc.)
* Deep expertise in the Microsoft Azure ecosystem (Azure ML, Data Lake, DevOps, AKS, AI Foundry)
* Skilled in MLOps, CI/CD, Docker & Infrastructure as Code
* A strong communicator who can lead, mentor, and influence

What you get in return

* Competitive salary aligned with the market
* 40h workweek + 32 days off
* Hybrid flexibility
* Strong focus on learning, mentoring & career growth
* A people-first culture where your impact truly matters

Don't tick every box? No worries — we'd still love to hear from you.

Ready to lead AI at scale and build solutions that truly matter?

Apply now or reach out — let's connect.

#AI #MachineLearning #GenerativeAI #MLOps #Azure #Hiring #TechLeadership

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