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ML Engineer Senior - GenAI Solutions

Job in 87100, Cosenza, Calabria, Italy
Listing for: Altro
Full Time position
Listed on 2026-05-19
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Engineering, Data Scientist
Salary/Wage Range or Industry Benchmark: 50000 - 70000 EUR Yearly EUR 50000.00 70000.00 YEAR
Job Description & How to Apply Below
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.

Your Contribution In This Role

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

The ideal profile

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 at least two mainstream programming languages (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

Location
Milano, Bari, Bologna, Cosenza, Napoli, Pisa, Roma, Torino

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Position Requirements
10+ Years work experience
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