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AI Machine Learning Engineer

Pubblicato il 16-08-2026 - Coreview in Roma

About CoreView

La preghiamo di leggere attentamente la seguente descrizione del lavoro per assicurarsi di essere la persona giusta per questo ruolo prima di candidarsi.
CoreView is the global leader in Microsoft 365 (M365) tenant resilience, serving over 23 million users worldwide. We empower the world’s leading organizations to master the complexity of Microsoft M365. Through robust security and precise governance, we help ensure that our client’s environments stay cyber‑resilient and productive, no matter how complex they are.
CoreView is looking for an AI/ML Engineer with professional experience shipping AI/ML systems to production, who is also genuinely into this stuff: someone who builds things on the side, follows the field because it’s interesting, and has opinions earned by trying things.
Your evidence can also be a side project, an open‑source contribution, a fine‑tuned model on Hugging Face, a homelab running locally, or an agent that got a bit out of hand. We care that it exists and that you can talk about it.
What We’re Building




We build tools that transform both our internal workflows and our customer‑facing product. We explore new models, frameworks, and techniques as they emerge, run experiments, and bring into production what works.
You’ll work across the full AI stack, from model experimentation and retrieval to agentic systems and production features. Our stack includes a lot of stuff, and we stay open to whatever works best.
Who We’re Looking For

Someone solid on both GenAI/LLM application engineering and machine learning. Not a prompt‑only integrator, not a pure researcher. An engineer who’s curious about how things work under the hood and equally happy shipping them to users.
You've built agents, not just chatbots. You know what makes a multi‑step workflow reliable: tool design, state, error handling, and knowing when to stop the loop.
ML fundamentals you can apply. You’re comfortable reasoning about models, data, and evaluation, and you can p

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