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NTT DATA Romania SA

Azure AI & Machine Learning Engineer

NTT DATA Romania SA Bucharest, Romania

IT Services and IT Consulting · 10,001+ employees

Sep 11
machine-learning Senior (5-10 yrs) Full-time Romania
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About the role

Architect and deploy end-to-end AI/ML solutions using Microsoft Azure services. Implement MLOps practices, manage data pipelines, and ensure compliance with security and performance standards.

What they look for

Azure Machine Learning Artificial Intelligence MLOps Data Engineering CI/CD Vector Databases Embeddings Generative AI Data Pipelines Microsoft Fabric Power Platform Feature Engineering Model Training Cloud Computing Data Quality Assurance

Requirements

Requires a Bachelor's degree in Computer Science, Informatics, or Engineering. Candidates must have at least 5 years of experience in AI/ML roles with strong expertise in Azure and MLOps.

Full description

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 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

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