AI Data Engineer

NTT; Bari; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading tech firm is seeking an experienced AI Data Engineer to lead projects, develop data pipelines, and collaborate with Data Scientists. Ideal candidates should have hands-on experience with Generative AI, strong mathematical skills, and proficiency in multiple programming languages. The position is based in Italy across various locations, including Bari and Milano, offering the opportunity to mentor junior team members and make impactful contributions.

Competenze

• At least 2 years of production experience in Data Science or Software Engineering.
• Proven experience designing and implementing machine learning pipelines.
• Ability to lead and mentor junior team members.

Mansioni

• Lead and collaborate on multiple projects to create data pipelines.
• Identify business opportunities with Data Scientists and ML Engineers.
• Connect with stakeholders to drive data engineering solutions.

Conoscenze

Production experience in Data Science or Software Engineering

Deep knowledge of math, probability, statistics and algorithms

Fluency in mainstream programming languages (Python, Scala, Java, C++)

Knowledge of Spark and Databricks

Experience in building infrastructure for technical users

Strumenti

Spark

Databricks

Keras

PyTorch

Snowflake

Descrizione del lavoro

Overview

The ideal candidate as an AI Data Engineer in NTT DATA Gov & Tech will have a solid Generative AI hands-on capability (preferably on Azure/GCP and on-premise GenAI architecture and MLops), mathematical background, experience working on a range of classification, informational retrieval, clustering, and optimization problems, establishing scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation. The Senior AI Data Engineer will work alongside experienced Data Scientists, Data and ML Engineers to identify business opportunities, design and create new data pipelines from scratch, from experiments to deploying them in production. He/She will be responsible for multiple projects, leading the ML Engineers and connecting with the stakeholders.

Responsibilities

• Lead and collaborate on multiple projects, design and create new data pipelines from experiments to production deployment, and connect with stakeholders.
• Work alongside experienced Data Scientists, Data and ML Engineers to identify business opportunities and drive end-to-end data engineering solutions.

Required Skills

• At least 2 years of production experience working in Data Science or Software Engineering.
• Deep knowledge of math, probability, statistics and algorithms.
• Knowledge of Agentic Applications Design, Architecture and development.
• 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 Scientists, 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 of 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 on 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

Location: Milano, Bari, Cosenza, Napoli, Roma

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