19 часов назад
Data Science Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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