Description:
Exciting opportunity to join a leading digital financial institution! While this role will require a strong focus on machine learning knowledge and skills to enable Data Scientists and Decision Scientists to do work more efficiently; a strong emphasis will be on the application and integration of generative AI models into products and services . The intended candidate will be a strong driver of innovation in the space, ensuring the enhancement of the user experiences through AI . Lastly, the intended candidate will be expected to collaborate in creating and delivering the AI strategy to ensure the bank is able to compete in a fast-changing landscape. The effective use of AI technologies will be a key strategic differentiator in the future.
Requirements:
- Machine Learning Methods: 5 to 6 years
- Aws: 3 to 4 years
· Machine learning (MLOps) and software engineering experience
· Providing technical subject matter expertise, leading on complex data science / machine learning initiatives or projects in multiple technical areas
· Providing Technical subject matter expertise oversight of data scientists / teams to support delivery of solutions to business.
· Guiding and leading technical teams to maintain ML standards and practice
· Experience with deploying and fine-tuning generative AI models (e.g., GPT, DALL-E)
· Familiarity with AI frameworks like TensorFlow, PyTorch
· Experience in integrating AI models into applications and services
· Knowledge of prompt engineering and model optimization techniques