Description
A career as a Senior Artificial Intelligence scientist on the AI Factory team at National Bank means playing a key role in evaluating, optimising and monitoring the performance of AI models, including generative AI models. This position allows you to have a direct impact on the robustness and relevance of solutions thanks to your expertise in fine-tuning, prompt engineering and model monitoring.
Your job
- Assess the performance of AI models using advanced metrics and specialised tools.
- Fine-tune and optimise models to meet banking use cases.
- Design and improve prompts for generative AI models.
- Implement monitoring systems to ensure the quality and stability of models in production.
- Collaborate with teams of analysts and developers to effectively integrate models into technology solutions.
- Participate in technology monitoring and disseminate AI best practises within the organisation.
Your team
At AI Factory, you will be part of a team of more than 25 specialists who work agile, proactively and collaboratively to develop innovative artificial intelligence solutions. The team stands out for its passion, expertise and commitment to pushing technological boundaries. You will work in a stimulating environment that fosters continuous learning and professional growth. You will report to the Senior Manager and collaborate with colleagues with a wide range of expertise in a spirit of innovation and sharing.
The Bank values continuous development and internal mobility. Our personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, Language Training, Harvard Learning Centre and coaching and mentoring support are available to you at any time.
Prerequisites
- Bachelor's or master's degree in computer science, mathematics, artificial intelligence or a related field.
- Minimum of 5 years of experience in data science or AI model development.
- Proficiency in Python and artificial intelligence libraries.
- Experience with cloud environments and automation tools such as Terraform.
- Knowledge of the AWS stockpile platform and model assessment tools, an asset.