ML Engineer Senior - GenAI Solutions

NTT
Milan, Bologna, Rome
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Stakeholder management","Relationship building","Mentoring junior engineers","Hands-on problem-solving"]

Work as a Senior Machine Learning Engineer driving advanced machine learning and Generative AI initiatives. Build hands-on GenAI solutions using Azure/GCP and on‑prem architectures, design scalable data pipelines from experiments to production, and develop/validate/implement models across classification, retrieval, clustering, and optimization. Lead ML engineers and collaborate with stakeholders and clients while using MLOps practices like CI/CD, containerization, retraining, and drift management.

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FursaFursa
NTT
NTT
3 weeks ago

ML Engineer Senior - GenAI Solutions

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Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Work as a Senior Machine Learning Engineer driving advanced machine learning and Generative AI initiatives. Build hands-on GenAI solutions using Azure/GCP and on‑prem architectures, design scalable data pipelines from experiments to production, and develop/validate/implement models across classification, retrieval, clustering, and optimization. Lead ML engineers and collaborate with stakeholders and clients while using MLOps practices like CI/CD, containerization, retraining, and drift management.
Location: Milan, Bologna, Rome
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Apply hands-on Generative AI capabilities across Azure/GCP and on‑prem GenAI architectures, including MLOps.
  • •Work on classification, information retrieval, clustering, and optimization problems.
  • •Establish scalable, efficient, and automated large-scale data analysis processes, including model development, validation, and implementation.
  • •Design and create new data pipelines from experiments through production deployment.
  • •Manage multiple projects and lead ML engineers while coordinating with stakeholders and clients.

Key Requirements

  • •At least 5 years of production experience in Data Science or Software Engineering.
  • •Strong mathematics background (math, probability, statistics, algorithms) plus deep ML knowledge.
  • •At least 6–12 months of experience deploying Generative AI, including underlying architecture handling.
  • •Experience designing and implementing ML pipelines in production, including model development, validation, and implementation.
  • •Fluency in at least two programming languages (Python, Scala, Java, or C++), with experience/knowledge of Spark and frameworks like Keras or PyTorch.
Experience:5+ yearsGenerative AIMachine learningMLOps
Skills:Stakeholder managementRelationship buildingMentoring junior engineersHands-on problem-solving
Tech Stack:AzureGCPPythonScalaJavaC++SparkDatabricksSnowflakeVector DatabasesKerasPyTorchCI/CDContainersMLOpsRetrainingDrift managementData pipelines

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn