AI Scientist
Tasks
- Build experimental systems and tools
- Collaborate with product designers researchers and stakeholders
- Communicate R and D results to non technical audiences
- Design and develop proof of concept prototypes
- Ensure scalability and experimentation practices
- Evaluate machine learning and generative AI models
- Lead AI research and technical exploration
- Lead R and D efforts and set code standards
- Mentor junior peers
- Prototype applications with front end and back end integration
- Translate business needs into technical PoCs
- Translate concepts into working demos
Perks/Benefits
- Access to cutting edge tools and platforms
- Collaborative & Inclusive Culture
- Hybrid work environment
- Learning and development support
Skills/Tech-stack
Agents | Cloud Computing | Computer Vision | Deep learning | Docker | Generative AI | Kubernetes | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Python | REST API | Reinforcement Learning | TypeScript
Education
Roles
AI | AI Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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