Ml Engineer Senior - Genai Solutions
Pubblicato il 05-08-2026 - Experteer Italy in Salerno
Experteer Overview
As a Senior Machine Learning Engineer at NTT DATA, you will collaborate with Data Scientists and ML Engineers on advanced ML and Generative AI initiatives.
You will implement GenAI capabilities across cloud (Azure/GCP) and on?prem architectures, build scalable data pipelines, and drive production ML solutions.
You will mentor teammates, engage stakeholders, and manage multiple projects to deliver impactful AI-driven outcomes for clients.
This role offers hands?on impact in shaping GenAI deployments and data?driven decision making within a global tech services environment.
Retribuzione / Benefits
Apply hands?on Generative AI capabilities across Azure/GCP and on?prem GenAI architectures and MLOps
Leverage a strong mathematical background to solve complex problems
Tackle classification, information retrieval, clustering and optimization tasks
Establish scalable, automated processes for large-scale data analysis
Contribute to model development, validation and implementation
Identify business opportunities through ML initiatives
Design and build data pipelines from experiments to production
Manage multiple projects and lead ML Engineers
Engage with stakeholders to align ML work with business goals
Responsabilità
At least 5 years of production experience in Data Science or Software Engineering
Strong knowledge of mathematics, probability, statistics and algorithms
At least 6–12 months of Generative AI deployment experience
Vector database knowledge is a plus
Understanding of data structures, data modeling and software architecture
Fluent in at least two mainstream programming languages (Python, Scala, Java, C++)
Experience building infrastructure for technical users (DS, ML practitioners, data consumers/producers)
Knowledge of Spark and Databricks is a strong plus
Experience deploying ML solutions in cloud and cross-cloud environments; Snowflake knowledge is a plus
Proficiency with ML frameworks (Keras, PyTorch)
Ability to design/implement production ML pipelines; familiarity with CI/CD, containerization and MLops concepts
Ability to mentor junior team members and build relationships with clients and teammates
#J-*****-Ljbffr