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Expert AI Engineer - BIP AI LAB

Business Integration Partners

Overview

In questo ruolo, avrai la responsabilità di guidare la visione tecnologica e la roadmap di piattaforme AI/MLOps e GenAI enterprise. Lavorerai in un contesto internazionale e multidisciplinare, collaborando strettamente con Research, Engineering e Delivery per tradurre requisiti di business in soluzioni tecnologiche ad alto valore. Ti occuperai di progettare ecosistemi MLOps complessi, governance dei modelli e conformità normativa, contribuendo a trasformare la ricerca in risultati concreti. È un'opportunità di leadership tecnica e mentorship per far crescere una practice AI avanzata in un contesto di innovazione continua.

Retribuzione / Benefits

  • Formazione e crescita professionale
  • Flessibilità e work-life integration
  • Salute e benessere
  • Supporto genitorialità e politiche inclusive
  • Ambiente etico e pari opportunità

Responsabilità

  • Definire la visione tecnologica e la roadmap delle piattaforme AI/MLOps e GenAI a livello di gruppo e per i clienti
  • Orchestrare design di ecosistemi MLOps e LLMOps multi-cloud e hybrid-cloud, garantendo scalabilità e gestione dei costi
  • Stabilire linee guida, standard di engineering e pattern di sviluppo sicuri e scalabili per l'intero lifecycle dei modelli (Real-Time, Batch, Streaming, LLM/SLM, RAG)
  • Supervisionare sistemi di Model Governance, AI etico (Responsible AI), Explainability (XAI) e auditabilità in produzione
  • Interagire con clienti e stakeholder per tradurre requisiti strategici in architetture di alto valore
  • Assicurare Tech Leadership e mentorship trasversale promuovendo best practice e iniziative di R&D su tecnologie emergenti

Requisiti fondamentali

  • Oltre 6 anni di esperienza in ML Engineering, MLOps, AI Architecture o Cloud Software Architecture con focus sull'industrializzazione dell'AI
  • Esperienza nella progettazione e erogazione di piattaforme ML/AI enterprise su scala industriale e contesti mission-critical
  • Padronanza dell'ecosistema Cloud-Native (Kubernetes, Terraform/IaC, Service Mesh, CI/CD avanzato) per workload di AI distribuita e deep learning
  • Eccellente padronanza di Python e conoscenza avanzata di framework di orchestrazione per modelli tradizionali e generativi
  • Solida gestione della sicurezza dei dati, IAM, isolamento workload AI, Zero Trust e governance dell'AI
  • Ottime doti di comunicazione tecnica, negoziazione e problem solving strategico; interfaccia con figure di alto livello
  • comunicazione tecnica
  • negoziazione
  • problem solving strategico
  • MLOps / AI Architecture
  • GenAI platforms
  • multi-cloud design (Azure, AWS, GCP)
Offerta di lavoro pubblicata 1 giorno fa
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