Staff AI Engineer

Poznan, Wielkopolskie, Poland

Pearson

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Role:           Staff AI Engineer

Company:   Pearson 

Location:     Poland

 

About the AI Capabilities (AIC) team 

  • The AIC team at the Pearson Poznań office is an R&D unit that creates AI Capabilities (i.e. systems that use AI methods to facilitate the process of human learning). The team consists of AI Scientists, AI Engineers, and Technical Project Managers. 
  • Our role is to: 
    • Design, build, and continuously improve customer-facing Intelligent Learning Capabilities across Pearson. 
    • Provide technical leadership in the application of AI at Pearson. 
  • We specialise in a variety of intelligent capabilities: 
    • Cutting edge applications of LLMs to create new kinds of learning experience 
    • Adaptive modelling & diagnostic capabilities that fast-track learners through a course of learning and identify struggling learners. 
    • Natural language processing-based assessment capabilities that evaluate a learner's soft & hard skills through text or speech. 
  • In our work, we often innovate around implementing psychometric ideas using the latest machine learning methods and prototyping innovative natural language processing methods. 
  • We proudly support the Polish AI community by sponsoring conferences (ML in PL, Why R?, GHOST Day, Cloud & Datacentre Day), hosting meetups with communities like Women in Machine Learning & Data Science and Poznański Horyzont Danych, and hosting our own series of open talks & workshops

 

About you & skills you will need every day 

  •  Advanced proficiency in Python, with experience in additional languages (e.g., Go, Java, C#, Scala, Rust, C++) beneficial. 
  • Solid understanding of software engineering best practices, including code review, multi-stage testing, and CI/CD processes. 
  • Demonstrated experience in data management and AI/ML tools, including some of the following: PyTorch, ML Flow, or huggingface, Jupyter Notebook, DVC, Neptune.ai, Weights & Biases. 
  • Expertise in leveraging Large Language Models (LLMs) and generative AI technologies for system development. 
  • Knowledgeable in scalable architectures using Docker and Kubernetes, and cloud platforms, particularly Azure and AWS 
  • Proficient with Linux/Unix environments. 
  • Capable of working effectively in a diverse, remote, and asynchronous team environment. 
  • Working proficiency in both English and Polish 
  • Strong commitment to continuous learning and professional development.  

 

Your daily work: 

  • Research and develop systems for e-learning platforms and mobile apps within Pearson. 
  • Collaborate on occasional experimental projects and proof-of-concept work. 
  • Design and develop microservices architecture for backend services. 
  • Ensure high-quality code through peer reviews, CI/CD enhancements, and automated testing. 

 

We got for you a great range of benefits: 

  • Opportunity to work in a global environment and grow your professional network  
  • Personal growth - Unlimited access to rich sources of knowledge (Coursera, A Cloud Guru, Safari Books…) 
  • Attractive benefits including MultiSport Card, cinema and theatre tickets, touristic excursions, etc.)  
  • Private health care, accident insurance for you and your family  
  • Opportunity to master your English skills at daily work and/or by taking companywide English classes  
  • Work-life balance, Flexible working arrangement 
  • Remote work or hybrid (Poznan) work as option  
  • Paid leave for volunteer purposes  
  • PPK at 4% 
  • Annual bonus based on performance 
  • Annual Christmas funding 
  • Holiday funding (biennially) 
  • Invest and Earn money and/ or become a shareholder with Pearson Worldwide programme ‘Save for Shares’ 

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture AWS Azure CI/CD Data management Docker Engineering Generative AI HuggingFace Java Jupyter Kubernetes Linux LLMs Machine Learning Microservices NLP Prototyping Python PyTorch R R&D Research Rust Scala Testing Weights & Biases

Perks/benefits: Career development Conferences Flex hours Health care Salary bonus Startup environment

Region: Europe
Country: Poland
Job stats:  1  0  0

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