14 set - Monza
Nadara
OverviewAs an AI Engineer at Nadara, you will design, build and deploy AI-powered solutions to support our AI transformation and operational efficiency.
You'll bridge research and production, owning full lifecycle from discovery to deployment and championing responsible AI.
You'll work within the Digital and IT team to integrate AI with data platforms and enterprise workflows.
This role offers hands-on influence on our AI initiatives while collaborating across functions and locations.
Retribuzione / Benefitshybrid work model
opportunity to work across locations
international exposure across Lisbon, Madrid, Milano
travel flexibility
dynamic, innovative culture
focus on social and environmental initiatives
ResponsabilitàDesign and build AI solutions with Microsoft Copilot Studio (custom copilots, agents, connectors)
Develop and maintain Power Automate flows to automate processes and connect AI with systems
Build and operationalise AI models and pipelines on Azure AI Foundry (OpenAI, Search, Prompt Flow, fine-tuning)
Integrate AI with Nadara data platforms (Snowflake, Cortex AI features)
Collaborate with data engineers, domain experts and stakeholders to define use cases and translate requirements
Monitor, secure and ensure compliant, reliable performance of deployed AI solutions
Evaluate new AI tools and vendor offerings with evidence-based recommendations
Publish, configure and manage AI components for Microsoft 365/Teams environments
Demonstrate knowledge of MLOps and LLMOps practices (Git, CI/CD, monitoring)
Requisiti fondamentali2+ years of genAI experience and 4+ years experience in Power Automate, data science or ML landscape
Hands-on experience with Microsoft Copilot Studio and Power Automate
Knowledge of Azure AI Foundry services (OpenAI, Search, Prompt Flow) and responsible AI tooling
Programming experience in Python, SQL and/or .
NET; familiarity with LangChain or Semantic Kernel is a plus
Experience with cloud data platforms; Snowflake and Cortex AI capabilities are a plus
Understanding of MLOps and LLMOps practices (version control, deployment, monitoring)
English fluency; other European languages are a plus
Bachelor's degree in Engineering/Science; Master's desirable in data, ML or genAI
Portfolio of AI projects or POC work valued
Travel readiness for hybrid/office locations
structured and organized
proactive and solution-oriented
clear communicator
Microsoft Copilot Studio
Power Automate (cloud flows, Dataverse, SharePoint, Azure, 3rd-party APIs)
Azure AI Foundry (Azure OpenAI Service, Azure AI Search, Prompt Flow)
16 set - Lissone
Adecco Italia
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SAMARCANDA
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Gierre Contact Call Center
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Gelati PEPINO 1884