ML Engineer Senior - GenAI Solutions

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7bwb9i

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.

Per essere preso/a in considerazione per un colloquio, la preghiamo di assicurarsi che la sua candidatura sia pienamente in linea con le specifiche del lavoro riportate di seguito.
Your Contribution In This Role

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- 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

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- 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 xysqume 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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Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7bwb9i