Description

We are seeking a Data Scientist with a strong background in natural language processing and a focus on Large Language Models (LLMs) and generative AI. In this role, you will collaborate with product, engineering, analytics, and business teams to translate complex business needs into intelligent, reliable, scalable, and production-ready AI solutions. The idóneo candidate will combine strong applied data science and machine learning expertise with hands-on experience developing LLM-powered applications, model evaluation frameworks, responsible AI controls, and cloud-based AI solutions using Google Cloud Platform (GCP). Experience with agentic AI—including tool-enabled agents, workflow orchestration, and multi-agent systems—is a plus.

Responsibilities
- Design, prototype, evaluate, and productionize LLM-powered applications for enterprise and customer-facing use cases.
- Develop prompt strategies, structured-output workflows, model routing, context-management approaches, and fine-tuning or adaptation methods when appropriate.




- Create rigorous LLM evaluation frameworks covering task quality, factuality, relevance, robustness, latency, cost, safety, and user experience.
- Explore and implement agentic AI patterns such as planning, tool and function calling, memory, reflection, human-in-the-loop approvals, and multi-step workflow execution.
- Develop and deploy scalable AI and machine learning solutions on GCP using services such as Vertex AI, BigQuery, Cloud Storage, Cloud Run, Cloud Functions, Pub/Sub, and related data and AI services.
- Build reusable Python components, APIs, experimentation pipelines, and data products that integrate with enterprise platforms and applications.
- Create and maintain data pipelines that prepare structured and unstructured data for modeling, experimentation, evaluation, and production use.
- Perform exploratory analysis, feature engineering, statistical modeling, and machine learning to support broader data science needs.
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📌 Data Scientist NLP (México)
🏢 Ford Motor
📍 México