• 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
• Advanced degree in computer science, statistics, advanced analytics, data science, machine learning, AI