AI Data Engineer

Experteer Italy; Pisa; In loco; EUR 50.000 - 90.000; Tempo pieno

Descrizione del lavoro

Join a forward-thinking company as a Senior AI Data Engineer, where you'll leverage your expertise in Generative AI and machine learning to drive innovation. Collaborate with experienced Data Scientists and ML Engineers to design and implement scalable data pipelines, leading multiple projects while connecting with stakeholders. This role offers the chance to work with cutting-edge technologies and contribute to impactful solutions in a dynamic environment. If you're passionate about AI and eager to make a difference, this opportunity is perfect for you.

Competenze

• 3+ years of experience in Data Science or Software Engineering.
• Strong knowledge of math, statistics, and algorithms.
• Experience with ML frameworks and cloud platforms.

Mansioni

• Lead ML Engineers and connect with stakeholders on multiple projects.
• Identify business opportunities and design new data pipelines.
• Establish efficient processes for large-scale data analysis.

Conoscenze

Data Science

Software Engineering

Mathematics

Probability

Statistics

Algorithms

Python

Scala

Java

C++

Machine Learning

MLOps

Strumenti

Spark

Databricks

Keras

PyTorch

Snowflake

Descrizione del lavoro

The ideal candidate as Senior 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.

Requirements

Required Skills

• At least 3 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 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 basis, 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 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