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NTT DATA Logo NTT DATA · IT - Software Development

ML Engineer Senior - GenAI Solutions

Italy, Milano · Job Posted May 14, 2026
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Job Description

As a Senior Machine Learning Engineer at NTT DATA, you will work alongside experienced Data Scientists, Data and ML Engineers on advanced machine learning and Generative AI initiatives.

Job Responsibility

  • Apply hands-on Generative AI capabilities, preferably on Azure/GCP and on-premise GenAI architectures and MLOps
  • Leverage a strong mathematical background
  • Work on classification, information retrieval, clustering and optimization problems
  • Establish scalable, efficient and automated processes for large-scale data analysis
  • Contribute to model development, model validation and model implementation
  • Identify business opportunities
  • Design and create new data pipelines from scratch, from experiments to production deployment
  • Manage multiple projects
  • Lead ML Engineers
  • Connect with stakeholders

Requirements

  • At least 5 years of production experience working in Data Science or Software Engineering
  • Deep knowledge of math, probability, statistics and algorithms
  • At least 6/12 months of experience in Generative AI deployment and underlying architecture handling
  • Vector Database knowledge is well appreciated
  • Understanding of data structures, data modeling and software architecture
  • Fluent in a at least two mainstream programming language (Python, Scala, Java, C++)
  • Experience in building an infrastructure for technical users, such as Data Scientist, ML practitioners or data consumers/producers
  • Strong knowledge of Spark, Databricks is a strong plus
  • Experience developing/deploying ML solutions in one of the public cloud platforms and on a Cross-cloud base, Snowflake knowledge is a plus
  • Deep knowledge with machine learning frameworks (such as Keras or PyTorch)
  • Ability to design and implement machine learning pipelines in a production environment
  • Experience with deployment including knowledge of CI/CD, containerization, and related concepts with a focus over MLops/Re-Training/Drift Management
  • Ability to train more junior team members in multiple Machine Learning and Deep Learning concepts
  • Establish and maintain strong relationships with internal team members and external clients

Nice to have

  • Vector Database knowledge
  • Snowflake knowledge
  • Experience with Databricks
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