- Design and develop effective prompts for GenAI models by applying different strategies and best practices
- Collaborate with the AI and delivery teams to identify areas for improvement and develop strategies to address these challenges
- Monitor and analyze the performance of existing prompts, making necessary changes to optimize their effectiveness
- Work closely with the AI and delivery teams to ensure that prompts are correctly integrated into our products and services
- Follow the full life cycle of an AI project
- Work with Agile and Dev/MLOps techniques and implementation approaches in the delivery
- 2+ years of production experience working in software development or machine learning engineering
- Knowledge of Generative AI and prompt engineering approaches
- Knowledge of test strategies to evaluate and measure system performances
- Proficiency in Python and Python data-science libraries
- Knowledge in data analysis and cleaning
- Understanding of data structures
- Knowledge of code repository, IDE and versioning system (preferably GitLab)
- Knowledge of Agile methodologies and tools
- Fluency in English (both verbal and written)
- Passion for AI, ML, data science, and ability to work flexibly within a team
Nice to have:
- Knowledge of RAG systems
- Knowledge of NLP and Computational Linguistics
- Knowledge of AWS or at least one other cloud provider (i.e. Azure, Google Cloud).
- Hybrid Smart Working
- A growth path aimed at improving your professionalism
- Ticket Restaurant and Corporate welfare
- Flexible working hours
- Access to our corporate convention
- Internal and external training programs with the possibility to achieve professional certifications according to the role (UX PM 1-2-3, Scrum Master...)