Experience:

• 4+ years hands-on with machine learning / deep learning in production environments

Qualification:

• Master Degree or equivalent (> 4 years)
• Bachelor’s/Master’s degree in Computer Science, Data Science, AI, Machine Learning, or related field

Role Focus:

• End-to-End Solution Ownership
• Advanced Model Development
• GenAI/Agentic Systems
• Prompt Engineering
• Data Engineering
• User Interface Development

Additional responsibilities:

• Collaborate with subject matter experts and business users to identify opportunities for GenAI/agentic solutions
• Stay updated with the latest research and developments in LLMs, SLMs, and AI for cybersecurity
• Contribute to AI upskilling and best practices for CDF teams
• Document solutions, design decisions, and deliver technical guidance/training to colleagues and stakeholders

Nice to have:

• Portfolio, GitHub, or case studies of relevant GenAI, LLM, agentic solution projects
• Experience with at least one interface tool: Streamlit, Gradio, Flask, etc.
• Familiarity with best practices for secure and robust AI deployment (preferably in regulated environments)
• Experience deploying and maintaining production-grade AI models

More skills:

Machine Learning, Deep Learning, Transformer-based models, Large Language Models (LLMs), NLP, Cloud ML platforms (GCP, Azure, AWS)

Other:

• BNP Paribas is committed to fostering an inclusive workplace where all employees are valued, respected and can bring their authentic selves to work
• The Group has key positions in its three main fields of activity: Commercial, Personal Banking & Services, Investment & Protection Services, and Corporate & Institutional Banking