数据/AI工程师
Data/AI Engineer
简介：
Sandpiper Brands 寻找一名兼职数据/AI 工程师，能够在协作角色中茁壮成长，开发数据管道、仪表板和AI驱动的自动化。该职位技术性强且注重实践，有成长潜力。需要在 EST 时区工作。
职责：
· 使用 Python 构建和优化数据管道。
- 利用 React、Django、FastAPI、GitHub 等工具增强和支持现有开发项目。
- 实施 AI/LLM 工具以自动化工作流程和分析。
- 直接与创始人合作处理实际技术项目。
要求
· 精通 Python、React 和 Django。
- 有 GitHub 工作流经验。
- 熟悉 AI/LLM 工具和数据科学流程。
- 具备优秀的英语沟通能力，用于视频协作。
- 能够与 EST 时区有重叠的工作时间。
关于 Sandpiper Productions：
Sandpiper Productions 是一家领先的品牌大使和活动营销公司，业务遍及全国。我们处理复杂的数据操作，并高度关注效率和自动化，尽可能利用 AI 确保客户获得最准确、有用和及时的数据。
为什么加入我们：
· 拥有灵活的兼职时间。
- 直接与公司创始人合作处理技术项目。
- 融入以远程为主的文化。
- 有晋升到更大角色的机会。
- 从零开始开发 AI 驱动的系统。
- 接触现代技术栈，包括 Python、React 和 AI/LLM 工具。
薪酬：
我们根据经验和工时提供具有竞争力的兼职薪酬，投资于有才华的工程师并提供市场水平的薪资。
准备好塑造数据驱动营销运营的未来吗？立即申请！
最初发布于喜马拉雅山
查看英文原文
Summary:
Sandpiper Brands is seeking a part-time Data/AI Engineer who will thrive in a collaborative role, developing data pipelines, dashboards, and AI-driven automations. This role is technical and hands-on, with potential for growth. The position requires working during EST time zone.
Responsibilities:
· Construct and enhance data pipelines using Python.
- Enhance and support existing development projects utilizing React, Django, FastAPI, GitHub, etc.
- Implement AI/LLM tools to automate workflows and analyses.
- Collaborate directly with the owner on live technical projects.
Requirements
· Proficiency in Python, React and Django.
- Experience with GitHub workflows.
- Familiarity with AI/LLM tools and data science processes.
- Excellent English communication skills for video collaboration.
- Ability to work overlapping hours with the EST time zone.
About Sandpiper Productions:
Sandpiper Productions is a leading brand ambassador and event marketing company with operations nationwide. We handle complex data operations and are hyper-focused on efficiency and automation, leveraging AI wherever possible to ensure our clients receive the most accurate, useful and timely data possible.
Why Join Us:
· Enjoy a flexible part-time schedule.
- Work directly with the company owner on technical projects.
- Embrace a remote-first culture.
- Opportunity to advance into a larger role.
- Develop AI-driven systems from the ground up.
- Engage with a modern tech stack, including Python, React, and AI/LLM tools.
Compensation:
We offer competitive part-time compensation based on experience and hours, investing in talented engineers and providing market-rate pay.
Ready to shape the future of data-driven marketing operations? Apply today!
Originally posted on Himalayas