AI Data Engineer

NTT DATA Europe & Latam; Bari; In loco; EUR 40.000 - 65.000; Tempo pieno

Descrizione del lavoro

A leading company in technology is seeking an AI Data Engineer with a robust background in Generative AI and strong programming skills. This role involves designing data pipelines and managing teams to leverage machine learning for business solutions. Ideal candidates should have substantial experience in data science and MLOps, ready to drive impactful projects across various sectors.

Competenze

• At least 2 years of production experience.
• Fluency in at least two programming languages (Python, Scala, Java, C++).
• Deep knowledge of math and algorithms.

Mansioni

• Build and deploy automated data pipelines.
• Lead ML Engineers and connect with stakeholders.
• Design and implement ML pipelines in a production environment.

Conoscenze

Data Science

Software Engineering

Machine Learning

Programming

MLOps

Mathematics

Statistics

Data Structures

Data Modeling

Spark

Strumenti

Keras

PyTorch

Spark

Databricks

Snowflake

Descrizione del lavoro

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.

Required Skills

• At least 2 year 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 a at least two mainstream programming language (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 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, Cosenza, Napoli, Roma

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