Azure Ai & Machine Learning Engineer
Pubblicato il 04-10-2026 - Ntt Data Europe & Latam in Emilia-Romagna
Who We Are
We 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.
Potrebbe essere proprio lei il candidato/la candidata ideale per questo lavoro.
Legga tutte le informazioni associate e invii la sua candidatura.
Who We Are
We 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 standards
What 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 xysqume 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-*****-Ljbffr