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Data Science
Towards Data Science·7d ago·5 min read
AI Engineers, Applied Scientists, Forward Deployed Engineers: Let's Unpack.
TL;DR
The article discusses the emergence of new roles in data science, particularly AI Engineers, Applied Scientists, and Forward Deployed Engineers, following the rise of Large Language Models (LLMs). These roles are reshaping how organizations implement AI technologies and leverage data-driven insights.
✦ Why It Matters
Evaluate your team's structure to incorporate these emerging roles for better AI implementation.
Key Takeaways
- Assess your current team roles and identify gaps in AI expertise.
- Consider hiring or training for specialized roles like AI Engineers.
- Encourage collaboration between data scientists and engineers.
- Stay updated on the latest developments in AI and LLMs.
Full Summary
The explosion of Large Language Models (LLMs) has led to the creation of specialized roles in data science, including AI Engineers, Applied Scientists, and Forward Deployed Engineers. AI Engineers focus on building and deploying AI systems, while Applied Scientists bridge the gap between research and practical applications, often working on model optimization and experimentation.
Forward Deployed Engineers are tasked with integrating AI solutions into existing business processes, ensuring that models are effectively utilized in real-world scenarios. These roles require a blend of technical skills and domain knowledge, emphasizing the importance of collaboration between data scientists and engineers.
As organizations increasingly adopt AI technologies, understanding these roles can help teams better structure their workforce and enhance their AI initiatives.