Senior GenAI ML Engineer - Cloud & On-Prem Pipelines

Ntt Data; Bardi; In loco; EUR 90.000 - 130.000; Tempo pieno

Descrizione del lavoro

NTT DATA seeks a Senior ML Engineer to collaborate with data scientists and ML engineers on Generative AI initiatives. You will lead model development, validation, and production deployment across cloud and on‑prem architectures, mentoring colleagues and driving cross‑functional projects.

You will apply GenAI capabilities, build scalable data pipelines, and connect with stakeholders to identify business opportunities across client engagements.

Competenze

• 5+ years of production experience in Data Science or Software Engineering.
• Solid foundation in math, probability, statistics and algorithms.
• 6–12 months of Generative AI deployment experience.
• Fluent in at least two programming languages among Python, Scala, Java, C++.
• Experience deploying ML solutions in cloud and cross-cloud environments; Snowflake knowledge is a plus.
• Strong knowledge of Spark; Databricks is a plus.

Mansioni

• Apply Generative AI capabilities in cloud (Azure/GCP) and on-prem GenAI architectures and MLOps.
• Work on classification, information retrieval, clustering and optimization problems.
• Build scalable, automated data analysis processes for large-scale data.
• Contribute to model development, validation and production implementation.
• Identify business opportunities and connect with stakeholders.
• Design and create data pipelines from experiments to production.
• Manage multiple projects and lead ML Engineers.

Conoscenze

Programming languages: Python/Scala/JP

Leadership & mentoring

Cross-functional collaboration

MLOps & CI/CD

Strumenti

Spark

Databricks

Snowflake

Keras

PyTorch

Containerization

Descrizione del lavoro

NTT DATA seeks a Senior ML Engineer to collaborate with data scientists and ML engineers on Generative AI initiatives. You will lead model development, validation, and production deployment across cloud and on‑prem architectures, mentoring colleagues and driving cross‑functional projects.

You will apply GenAI capabilities, build scalable data pipelines, and connect with stakeholders to identify business opportunities across client engagements.