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19 часов назад

Data Science Manager (AI)

Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Science Manager (AI): Leading a hands-on team building shared agents, evaluation frameworks, and core capabilities for an agentic content platform with an accent on RAG systems, multi-agent workflows, and production-grade evaluation. Focus on designing scalable AI architectures, building benchmarking and human-feedback pipelines, and balancing technical delivery with team leadership and operational planning.

Location: Starts fully remote in the US and later becomes hybrid in Raleigh, North Carolina; relocation is required, with relocation possible at the start of the contract or upon conversion to full-time.

Company

hirify.global is a technology and professional services firm specializing in innovative technologies and technology management.

What you will do

  • Set the AI vision and roadmap for an agentic content platform.
  • Lead development of shared agents, reusable platform capabilities, and agent-based workflows.
  • Build evaluation science capabilities, including offline evaluation frameworks, automated benchmarking pipelines, and human-in-the-loop feedback systems.
  • Design and oversee production-grade AI systems focused on accuracy, reliability, scalability, latency, and human oversight.
  • Partner with Product, Engineering, Architecture, Design, and business teams to integrate AI at scale.
  • Build, mentor, and manage a high-performing data science team while overseeing planning, forecasting, budgets, and resourcing.

Requirements

  • 8+ years of experience in data science, machine learning, or applied AI.
  • 4+ years of direct or indirect leadership experience.
  • Experience designing, architecting, and implementing an agentic RAG-based system.
  • Proficiency with Python and ML/LLM tooling such as LangChain, LangGraph, TensorFlow, PyTorch, and prompt-tuning techniques.
  • Experience building multi-agent or orchestrated LLM systems, data pipelines, event-driven architectures, and complex multi-stage processing systems.
  • Cloud infrastructure experience with AWS, Azure, or GCP, plus the ability to explain complex technical concepts clearly to business partners.

Nice to have

  • Advanced degree in Data Science, Computer Science, Statistics, or a related field.
  • Experience with vector databases, knowledge graphs, and hybrid retrieval architectures.
  • Knowledge of containerization, CI/CD, RESTful API design, model serving, LLM observability, and evaluation tooling.
  • Familiarity with AI coding assistants such as GitHub Copilot.

Culture & Benefits

  • Competitive salary.
  • Player-coach environment combining technical contribution with people leadership.
  • Focus on responsible innovation, curiosity, continuous learning, and cross-functional collaboration.
  • Remote work at the start, transitioning to a hybrid arrangement in Raleigh, North Carolina.

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