Iron Mountain
AI Engineer, Global Operations
Vaga remota de AI Engineering com fit claro de localização do candidato.
Publicada19 de jun. de 2026
Países elegíveis2 países aceitos
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
CanadáEstados Unidos
Resumo da vaga
AI Engineer, Global Operations
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
In this role, you will:
- Develop End-to-End AI Solutions: Design, build, and monitor production-ready Machine Learning models and automated agents to streamline multi-step operational decision-making.
- Optimize Operational Workflows: Collaborate with Finance, Facilities, and Information Technology teams to build robust Extract, Transform, Load (ETL) pipelines and integrate predictive tools into existing warehouse and logistics software.
- Govern AI Safety and Compliance: Ensure the responsible deployment of all systems by performing rigorous model validation, maintaining strict data governance, and mitigating risk or bias in automated decisions.
The ideal candidate will have:
- 5+ years of applied experience in Artificial Intelligence/Machine Learning engineering or advanced analytics, preferably within logistics, supply chain, or transportation industries.
- Advanced technical expertise in Python and SQL, with proven experience scaling "agentic" workflows and Retrieval-Augmented Generation (RAG) solutions using platforms like LangChain or n8n.
- Proven ability in strategic problem-solving and rapid prototyping, with the communication skills necessary to explain complex model outputs to non-technical business leaders.
- A Bachelor’s degree in a quantitative field such as Computer Science, Data Science, Engineering, or Mathematics.
- United States Citizenship is required.
What We Offer
- Competitive compensation and benefits aligned with your experience level.
- Flexible work options to support a healthy work–life balance.
- Comprehensive health, wellness, and retirement plans to support your long-term well-being.
- Opportunities for continuous learning and professional growth in a cutting-edge technical environment.
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