Data Scientist
Summary
Build and deploy AI/ML models and RAG solutions to improve product security and workflows, collaborating with engineering and security teams.
- Advise on machine learning and AI best practices
- Build and validate Machine Learning and Generative AI models
- Collaborate with product engineering and security teams
- Create scalable APIs tools and workflows for AI adoption
- Design experiments and evaluation pipelines
- Develop Retrieval-augmented generation solutions
- Lead applied AI projects from concept to deployment
- Monitor model reliability accuracy and drift
Perks/Benefits:
- Diversity and inclusion working groups
- Flexible working practices
- Paid volunteer time off VTO
- Parental leave