Forward-Deployed AI Engineer — Transformation & Impact

Arkham Technologies Inc.

Ciudad de México

Presencial

MXN 420.000 - 640.000

Jornada completa

14 días+
Generador de candidaturas

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Descripción de la vacante

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

You will identify high-leverage AI opportunities, build robust ML and GenAI solutions, deploy production-ready systems, and support adoption across the client organization, often juggling 1-4 implementations with senior team members.

Formación

  • 2-3 years of hands-on Data Science experience.
  • Experience delivering ML systems into production.
  • Some exposure to client-facing or stakeholder-intensive environments.
  • Solid proficiency in Python and SQL.
  • Experience with forecasting and time-series models.
  • Experience with supervised and unsupervised ML

Responsabilidades

  • Build and deploy ML models (like forecasting, optimization, clustering, and anomaly detection models)
  • Develop Generative AI workflows
  • Implement AI Agents that automate analysis and operational decisions
  • Follow best practices for model monitoring, retraining, and governance
  • Contribute to the first "Aha" moment: within 2-4 weeks, help deliver an operational AI solution that solves a core business pain point
  • Define data requirements and modeling strategies in collaboration with the team

Conocimientos

Data Science
Python
SQL
Forecasting
Time-series
ML (Supervised/Unsupervised)

Descripción del empleo

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

You will identify high-leverage AI opportunities, build robust ML and GenAI solutions, deploy production-ready systems, and support adoption across the client organization, often juggling 1-4 implementations with senior team members.

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