Job ID
- 67563
- Category
- Enterprise Technology
- Location
- Mexico City, Mexico, Remote
- Work Type
- Remote
- 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.
- 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.




- Communicate technical findings, tradeoffs, risks, and recommendations clearly to both technical and non-technical stakeholders.
- Stay current with emerging generative AI methods and translate promising research into practical business value.

Education:
Minimum:
- Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field, or equivalent practical experience.
- Master’s degree or Ph.D. in a relevant quantitative or technical discipline

Preferred

Experience:
Minimum:
- 2+ years professional experience in data science, machine learning, applied AI, natural language processing, or a related technical role.
- 5+ years experience designing or deploying agentic AI systems, including tool-using agents, graph-based workflows, multi-agent collaboration, or human-in-the-loop controls.

Preferred:
Licenses and Certifications:
- Licenses

Work Requirements:
M

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