Requirements
- In-depth expert-level experience in Data Science domain (data mining, statistics, machine learning, etc.) and AI domain:
- Analytical and generative AI
- Evaluation of available data assets and their profile
- Current knowledge of LLM landscape, commercial and open course
- Model selection, training, fine-tuning
- Model efficacy metrics, bias management
- IP considerations
- ML Ops and related tooling
- Cloud hosting options and self-hosting, and related economics
- Multi-modal AI (text, NLP / voice, images, video)
- AI-enabled software engineering
Work Arrangement
Remote (Worldwide)
