Overview

In this Senior ML Engineer role at NTT DATA, you collaborate with data scientists and ML engineers on advanced Generative AI initiatives. You apply hands-on GenAI capabilities in Azure/GCP and on-prem architectures, with strong MLOps focus. You tackle classification, retrieval, clustering, and optimization challenges while building scalable data pipelines and contributing to end-to-end model development and deployment. You identify opportunities and lead multiple projects, mentoring ML Engineers and engaging stakeholders to deliver impactful, production-grade solutions.

Responsabilità

- Apply Generative AI capabilities in cloud and on-prem environments
- Develop and validate ML models and implement production deployment
- Design and build scalable data pipelines from experiments to production
- Identify business opportunities and drive ML initiatives
- Lead ML Engineers and coordinate multiple projects
- Engage with stakeholders to align on goals and outcomes

Requisiti fondamentali





- 5+ years of production experience in Data Science or Software Engineering
- 6–12 months of Generative AI deployment experience
- Vector database knowledge appreciated
- Understanding of data structures and software architecture
- Fluency in at least two programming languages (Python, Scala, Java, C++)
- Experience building infrastructure for data scientists and ML practitioners
- Strong knowledge of Spark/Databricks (plus)
- Experience deploying ML solutions on public cloud platforms and cross-cloud with Snowflake knowledge (plus)
- Deep knowledge of ML frameworks (PyTorch, Keras)
- Ability to design production ML pipelines and MLops practices (CI/CD, containerization)
- Experience mentoring juniors and building client relationships

- strong communication
- leadership and mentoring
- stakeholder management
- Generative AI deployment
- Azure/GCP and on-prem GenAI architectures
- MLOps, CI/CD, containerization

📌 ML Engineer Senior - GenAI Solutions (Napoli)
🏢 Ntt Data
📍 Napoli