Who We AreWe operate beyond organizational silos, combining deep expertise in data engineering and AI-driven solutions to design and deliver scalable, user-centric applications and modern data architectures. We support a wide range of industries, including Automotive, Banking, Insurance, Telecommunications, E-commerce, and Public Services.Who We AreWe operate beyond organizational silos, combining deep expertise in data engineering and AI-driven solutions to design and deliver scalable, user-centric applications and modern data architectures. We support a wide range of industries, including Automotive, Banking, Insurance, Telecommunications, E-commerce, and Public Services.Our focus is on building robust, enterprise-grade data platforms and enabling advanced analytics and AI capabilities within the Microsoft ecosystem, including Azure, Microsoft Fabric, and the Power Platform. We specialize in designing secure, high-performance solutions that integrate data pipelines, AI models, and Generative AI use cases to deliver real business value.What You’ll Be Doing- Architect and deploy AI solutions using Microsoft Azure services- Design end-to-end AI/ML architectures covering data ingestion, feature engineering, model training, deployment, and monitoring- Implement MLOps practices,



including CI/CD pipelines and operational monitoring- Preprocess and analyze data to ensure high-quality inputs for AI and retrieval-based systems- Create and manage vector indexes to support AI search and retrieval use cases- Evaluate, select, and integrate appropriate ML frameworks, tools, and platforms- Ensure AI solutions comply with security, cost, and performance standardsWhat You Bring Along- Bachelor’s degree in Computer Science, Informatics, Engineering, or equivalent practical experience- Minimum 5+ years of experience ML and AI-focused roles- Strong experience designing and deploying AI/ML solutions on Microsoft Azure- Solid understanding of end-to-end ML pipelines and MLOps concepts- Hands-on experience with CI/CD pipelines and production monitoring for AI systems- Expertise in data preprocessing, feature engineering, and data quality assurance- Practical knowledge of vector databases, embeddings, and retrieval-based AI systems- Experience evaluating and selecting ML frameworks and tooling based on use case needs- Good awareness of security, cost optimization, and performance considerations in cloud-native AI solutions- Excellent verbal and written communication skills in English#J-18808-Ljbffr

📌 Azure Ai & Machine Learning Engineer (Parma)
🏢 Ntt Data Europe & Latam
📍 Parma