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Senior AI Engineer

pwc · Athens

New
Hybrid Senior 🇬🇧 English
Python .NET Java SQL PolyBase Microsoft Azure Amazon Web Services Google Cloud Platform DevOps

Job description

About the role

PwC is looking for an ambitious, self-driven Senior AI Engineer to join its Analytics & AI team in Athens. You will work with business stakeholders to design AI-infused solutions, collaborate with data scientists and build end-to-end applications that integrate AI components.

Key responsibilities

  • Work with business stakeholders to understand their needs and design an AI solution that addresses their requirements
  • Brainstorm with data scientists on the best solution for each problem
  • Design the end-to-end application using either a cloud API or a custom solution trained for the project's needs
  • Integrate the solution with third-party applications and data sources
  • Ensure the team follows DevOps best practices and keeps a production-first mindset
  • Stay up to date with the latest AI tools, technologies and trends
  • Guide clients in adopting new AI technologies and transforming their business models
  • Support business development by identifying opportunities and contributing to proposals and presentations
  • Mentor junior team members and share knowledge with the wider PwC community

Required profile

  • Degree in Computer Science, Electrical & Computer Engineering or a related field (preferred); a PhD is an additional qualification
  • At least 2 years of professional experience; leading experience highly appreciated
  • Strong communication skills to work with stakeholders, data scientists and colleagues
  • Ability to explain complex technical concepts clearly to non-technical stakeholders
  • Curiosity, flexibility and adaptability to changing requirements

Required skills

  • Programming in at least one modern language (Python.Net, Java etc.) and familiarity with software development frameworks and tools
  • SQL for data querying and manipulation is desirable; PolyBase and experience with large datasets are an added advantage
  • Familiarity with cloud platforms such as Microsoft Azure, Amazon Web Services or Google Cloud Platform
  • DevOps best practices and designing scalable, resilient systems

What we offer

  • Hybrid working model supporting work-life balance
  • Career growth through local and global opportunities
  • Continuous learning and professional certifications
  • Extra leave days and wellness initiatives

Questions fréquentes

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Source : ats:workday

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Published 56 minutes ago

Expires 1 month from now

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pwc

Athens