AI Azure ML Engineer

NTT DATA Europe & Latam is seeking an experienced ML/AI Architect to design and deploy AI solutions on Microsoft Azure, covering data ingestion, feature engineering and model training. You will implement MLOps, CI/CD pipelines, and operational monitoring to keep AI systems reliable, scalable and secure, while optimizing costs and performance.

Collaborating with data engineers, software developers and business stakeholders, you will deliver enterprise-grade data platforms and AI capabilities that

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. Bachelor’s degree in Computer Science, Informatics, Engineering or equivalent practical experience. Minimum 5+ years in ML/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 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.