Description: Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale and complexity
- Develop novel machine learning (ML) algorithms and indicators for time-series forecasting prediction, with applications in actuarial reserving and the development of affordability programs
- Implement state-of-the-art machine learning models and evaluate their performance
- Communicate the performance of the machine learning algorithms across an interdisciplinary team
- Write both internal and external documentation of the novel algorithms, including publications in machine learning and other scientific conferences and journals
- Develop our research and innovation agenda
- Collaborate with the AI team and fellow scientists and engineers
Required Skills : AI
Basic Qualification
Additional Skills : NLP Engineer,ML Engineer,ML Developer,Generative AI Developer,AI Developer