Resumen del rol

AI Engineer, Global Operations

Requisitos y responsabilidades

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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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FocoAI EngineeringÁrea del rol
Señal de senioritySeniorNivel del candidato
StackPython, SQLSkills principales
Ubicación2 países aceptadosElegibilidad

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