Data engineer seeks roadmap for GenAI pivot

Data engineers are uniquely positioned to pivot into GenAI, as building production-grade AI systems relies heavily on data orchestration and pipeline skills.

• –The community advises starting with optimization and probabilistic thinking rather than just memorizing neural network blocks
• –Moving straight to transformers and attention mechanisms is the recommended path for modern NLP
• –Building an end-to-end RAG system or executing a small fine-tune is the best way to demonstrate practical data science skills
• –Existing data engineering expertise provides a massive moat for LLMOps, evaluation, and deploying models to production