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PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

Machine Learning & Artificial Intelligence Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeMilan, Metropolitan City of Milan, ItalyIn-person

About the Job

Requirements

  • A Master's degree in Computer and Information Science is required.
  • The compensation level distinguishes candidates without or with minimal experience from those with proven experience in the role.
  • English is listed as a desired language.

Responsibilities

  • Support clients in defining software design and performing application performance management activities.
  • Gather technical and functional integration requirements while coordinating with other PwC teams.
  • Build data pipelines using technologies such as Python, PySpark, Spark, Scala, and R, and data platforms such as GCP, Azure, AWS, and Palantir.
  • Oversee and ensure CI/CD/CT and software life cycle management processes.

Desired Qualifications

  • The posting lists optional skills including AI implementation, C++ programming, complex data analysis, data analysis, data infrastructure, data integration, data modeling, data pipelines, data quality, deep learning, GPU programming, Java programming, machine learning, machine learning libraries, named entity recognition, natural language processing, and Natural Language Toolkit (NLTK).

About the Company

PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

PwC provides assurance (audit), tax, legal services, consulting and deals advisory to organisations worldwide. It uses multidisciplinary teams across accounting, advisory, technology and industry, delivered through a global network of locally established firms that collaborate with technology partners to offer AI, cloud, managed services and digital trust. PwC differentiates itself with an integrated, global-local service model and technology-enabled offerings that address complex client needs across risk, transformation, reporting and sustainability. Its goal is to help clients improve governance, efficiency and value by supporting reporting accuracy, business transformation, risk management and sustainable practices.

Company size
10,001+
Company stage
Early VC
Total funding
$3.3M
Headquarters
London, United Kingdom
Founded
1989

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