Senior ML Engineer — GenAI & Production ML Lead

NTT DATA Europe & Latam; Bari; On-site; EUR 90,000 - 120,000; Full time

Job summary

NTT DATA Europe & Latam seeks a Senior Machine Learning Engineer to collaborate with Data Scientists and ML Engineers on cutting-edge ML and Generative AI initiatives across multiple contexts. The role involves building and deploying scalable data pipelines, and leading ML practitioners to deliver production-grade solutions.

Ideal candidates bring deep math, extensive production experience in DS/SE, and hands-on GenAI deployment across cloud and on-prem architectures, with strong collaboration

Qualifications

• Minimum 5 years of production experience in Data Science or Software Engineering.
• Strong background in mathematics, probability, statistics and algorithms.
• Experience deploying Generative AI for production environments (≥6–12 months).
• Vector database knowledge is a plus.
• Understanding of data structures, data modeling and software architecture.

Responsibilities

• Apply hands-on Generative AI capabilities, preferably on Azure/GCP and on-prem 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, validation and 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.

Skills

Generative AI deployment

Data science

Python

Scala

Java

C++

Spark

Databricks

Snowflake

Keras/PyTorch

MLOps

CI/CD

Production ML pipelines

Mentoring juniors

Stakeholder management

Vector database

Cloud platforms

Tools

Spark

Databricks

Snowflake

Keras

PyTorch

Job description

NTT DATA Europe & Latam seeks a Senior Machine Learning Engineer to collaborate with Data Scientists and ML Engineers on cutting-edge ML and Generative AI initiatives across multiple contexts. The role involves building and deploying scalable data pipelines, and leading ML practitioners to deliver production-grade solutions.

Ideal candidates bring deep math, extensive production experience in DS/SE, and hands-on GenAI deployment across cloud and on-prem architectures, with strong collaboration