Note: The job is a remote job and is open to candidates in USA. NTT DATA Europe & Latam develops data engineering and AI-driven solutions across the Microsoft ecosystem. The AI Azure ML Engineer will architect and deploy Azure-based AI solutions, design end-to-end machine learning architectures, implement MLOps practices, and ensure solutions meet security, cost, and performance standards.
Responsibilities
- 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
Skills
- 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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