Data scientist Gen IA

Habilidades and Competencies Key:

• Data Science:
  • Advanced Statistics and Data Analysis.
  • Python Programming.
  • SQL and NoSQL Database Management.
• Models Generatives (GenAI):
  • In-depth knowledge of generative models.
  • Experience in implementing practical GenAI projects.
  • Able to adjust and optimize generative models for specific applications.
• Servers MCP:
  • Configuration, maintenance, and optimization of servers MCP.
  • Implementation of scalable and efficient solutions in high-demand environments.
• Retrieval-Augmented Generation (RAG):
  • Integration of information retrieval techniques with generative models.
  • Improvement of precision and relevance of generated responses through RAG.
  • Development of hybrid systems combining information retrieval and text generation.
• AI Agents:
  • Design, implementation, and optimization of autonomous agents.
  • Development of agents that can efficiently perform specific tasks.
  • Use of frameworks and development tools for agents such as OpenAI, langgraph, etc.
• Agent Systems:
  • Design and management of complex systems with multiple interacting agents.
  • Coordination and optimization of interactions between agents to achieve common goals.
  • Implementation of agent systems in real-world and simulated environments.

- Ability to adjust and optimize generative models for specific applications.
- Configuration, maintenance, and optimization of servers MCP.
- Implementation of scalable and efficient solutions in high-demand environments.
- Development of hybrid systems combining information retrieval and text generation.

Soft Skills:

• Critical Thinking and Complex Problem-Solving
• Techinical and Non-Techincal Communication
• Collaborative Work in Multidisciplinary Teams
• Curiosity and Continuous Learning, Especially in Emerging Technologies