Senior ML Engineer: Generative AI & MLOps Lead

NTT DATA BUSINESS SOLUTIONS; Bari; In loco; EUR 80.000 - 120.000; Tempo pieno

Descrizione del lavoro

NTT DATA BUSINESS SOLUTIONS is seeking a Senior Machine Learning Engineer to collaborate with Data Scientists and ML Engineers on advanced ML and Generative AI initiatives. You will apply hands-on GenAI across Azure, GCP, and on-prem architectures, and help build scalable data pipelines.

The ideal candidate has 5+ years in Data Science or Software Engineering, deep math knowledge, and generative AI deployment experience. Expect leadership responsibilities and cross-cloud experience.

Competenze

• 5+ years of production experience in Data Science or Software Engineering.
• Deep knowledge of math, probability, statistics and algorithms.
• At least 6–12 months of Generative AI deployment experience.
• Vector Database knowledge is appreciated.
• Understanding of data structures, data modeling and software architecture.
• Fluent in two programming languages among Python, Scala, Java, C++.
• Experience building infrastructure for data scientists and ML practitioners.
• Spark/Databricks experience is a strong plus.
• Experience deploying ML solutions on cloud platforms and cross-cloud, Snowflake knowledge is a plus.
• Proficiency with ML frameworks (Keras or PyTorch).
• Design and implement production ML pipelines; CI/CD and containerization; MLops focus.

Mansioni

• Apply Generative AI capabilities in Azure/GCP and on-premise GenAI architectures and MLOps.
• Lead ML Engineers and connect with stakeholders.
• Design scalable data pipelines from experiments to production.
• Contribute to model development, validation and deployment.
• Identify business opportunities and manage multiple projects.

Conoscenze

Mathematics & statistics

Generative AI deployment

Production ML experience

Programming languages (Python, Scala,—

Strumenti

Spark

Databricks

Snowflake

Keras

PyTorch

Descrizione del lavoro

NTT DATA BUSINESS SOLUTIONS is seeking a Senior Machine Learning Engineer to collaborate with Data Scientists and ML Engineers on advanced ML and Generative AI initiatives. You will apply hands-on GenAI across Azure, GCP, and on-prem architectures, and help build scalable data pipelines.

The ideal candidate has 5+ years in Data Science or Software Engineering, deep math knowledge, and generative AI deployment experience. Expect leadership responsibilities and cross-cloud experience.