Forward Deployed Engineer
Arkham Technologies · Mexico City
Job description
About the role
Arkham is a Data & AI platform that helps large enterprises unify fragmented systems and data, build a single source of trusted operational metrics and solve complex challenges with AI tailored to their operations. As a Forward Deployed Engineer, you help drive the AI transformation journey for customers by working hands-on across data science, AI architecture and implementation, partnering with client stakeholders to deliver high-impact solutions. Once a customer's Data Platform is live in Arkham, you help deliver and expand AI use cases, typically contributing to 1-4 implementations at once alongside senior team members.
Key responsibilities
- Partner with BI, Finance, Operations and business stakeholders to identify high-leverage AI opportunities and build robust ML and GenAI solutions.
- Deploy production-ready systems and support adoption across the client organization.
- Build and deploy ML models such as forecasting, optimization, clustering and anomaly detection models.
- Develop Generative AI workflows and implement AI Agents that automate analysis and operational decisions.
- Follow best practices for model monitoring, retraining and governance.
- Within 2-4 weeks, help deliver an operational AI solution that solves a core business pain point.
- Define data requirements and modeling strategies with the team.
Required profile
- 2-3 years of hands-on Data Science experience.
- Experience delivering ML systems into production.
- Solid exposure to client-facing or stakeholder-intensive environments.
- Good understanding of statistical modeling and model evaluation.
- Strong communication and collaboration skills.
Required skills
- Python and SQL
- Forecasting and time-series models
- Supervised and unsupervised machine learning
- Familiarity with Generative AI, prompt engineering, AI agents and LLM-based workflows
- Git and collaborative development workflows
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Published 2 hours ago
Expires 1 month from now
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Arkham Technologies
Mexico City
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