Junior AI Engineer (m/f/d)

Line of Service

Assurance

Industry/Sector

Not Applicable

Specialism

Assurance

Management Level

Associate

Job Description & Summary

PwC Luxembourg is hiring a Junior AI Engineer (m/f/d). What if it was you? 

Who we are: PwC Luxembourg (www.pwc.lu) is the largest professional services firm in Luxembourg with over 3,800 people employed from 90 different countries. PwC Luxembourg provides audit, tax and advisory services including management consulting, transaction, financing and regulatory advice. The firm provides advice to a wide variety of clients from local and middle market entrepreneurs to large multinational companies operating from Luxembourg and the Greater Region. The firm helps its clients create the value they are looking for by contributing to the smooth operation of the capital markets and providing advice through an industry-focused approach. 

At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 149 countries with more than 370,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by visiting us at www.pwc.com and www.pwc.lu. 

Your mission: As part of our Data Innovation team, we’re looking for a  Junior AI/ML Engineer  with skills in Natural Language Processing (NLP) and basic  knowledge of Retrieval-Augmented Generation (RAG). In this role you will assist in building and structuring our internal AI Services Catalog, working  closely with product and engineering teams to design and integrate practical  AI-powered solutions.  

Be part of our team where you will:  

• Assist in developing a structured catalog of AI services and defining roadmaps for adoption.  
• Work closely with AI product managers and business teams to align AI initiatives with organizational goals.
• Collaborate with data scientists, data engineers, developers and product managers to seamlessly integrate AI solutions into existing technologies.  
• Develop and test proof-of-concepts to validate AI use cases.  
• Package and expose AI capabilities through APIs or cloud-native services.  
• Build and fine-tune NLP pipelines and Gen-AI based services using LLMs and retrieval-based architectures (RAG).  
• Stay up to date with the latest advancements in AI, NLP, and LLM ecosystems (e.g., new RAG architectures, open-source models, vector  stores, and cloud-native AI tools).

​

Let's talk about you. If you have...  

• A bachelor's or master's degree in computer science, AI/ML or a related technical field.  
• Some experience or coursework in building NLP applications.  
• Knowledge about cloud services, more particularly Azure with Azure OpenAI and Azure Cognitive Search.  
• Hands-on experience with Python and ML frameworks like PyTorch, TensorFlow, Hugging Face Transformers, LangChain and LLamaIndex.  
• A willingness to learn and explore prompt engineering.  
• A basic understanding of Retrieval-Augmented Generation (RAG) pipelines and vector databases.  

...You are the candidate we are looking for!  

A final word about us:  

At PwC, we believe diversity is the representation of all the characteristics that  make us both alike and unique. Our backgrounds, cultures, nationalities,  lifestyles, identities, opinions and beliefs, approaches to solving problems,   

ways of working, and views of personal and professional success, all add value  to the services we deliver to our clients. Our objective is to nurture an inclusive environment where a diversity mindset is ingrained, and inclusion is the norm.  We constantly focus on respecting and valuing individual differences.

Ready to grow your potential, reaching excellence together? Apply now!  

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Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date