AI Transformation Engineer — Forward Deployed

Arkham Technologies; Ciudad de México; Presencial; MXN 420.000 - 660.000; Jornada completa

Descripción de la vacante

Arkham Technologies in Mexico City seeks a Forward Deployed Engineer to drive AI transformation for customers. You will work hands-on across data science, AI architecture, and implementation, partnering with client stakeholders to deliver high-impact solutions.

You will deploy production ML systems, develop GenAI workflows, and define data requirements with the team. You will balance technical delivery with client-facing collaboration across finance, operations, and BI to realize measurable

Formación

• Hands-on data science with ML system delivery experience.
• Strong Python and SQL skills with production track record.
• Experience with forecasting, time-series, and evaluation metrics.
• Familiarity with GenAI, AI agents and prompt engineering.
• Cliente-facing experience and cross-functional collaboration.

Responsabilidades

• Build and deploy ML models including forecasting, optimization, clustering and anomaly detection.
• Develop Generative AI workflows and AI agents for automated analysis.
• Define data requirements and modeling strategies with the team.
• Partner with client stakeholders to deliver production-ready solutions.
• Monitor, retrain, and govern models while ensuring adoption across the client org.

Conocimientos

Data Science

Python

SQL

Forecasting

Time Series

Machine Learning

Generative AI

AI Agents

Git

Model Evaluation

Communication

Production ML

Descripción del empleo

Arkham Technologies in Mexico City seeks a Forward Deployed Engineer to drive AI transformation for customers. You will work hands-on across data science, AI architecture, and implementation, partnering with client stakeholders to deliver high-impact solutions.

You will deploy production ML systems, develop GenAI workflows, and define data requirements with the team. You will balance technical delivery with client-facing collaboration across finance, operations, and BI to realize measurable