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Open nowPosted 516 days ago

AI算法工程师

lvbsk03ee00/index16 open roles

Where
Wuxi, Jiangsu, Chinese Mainland
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  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 516 days ago

The posting

1. 负责基于AI算法+大模型(LLM)的 应用研究与开发,支持 文本、语音、图像等多模态输入输出,打造真正可用的 AI 解决方案。 2. 负责AI相关的预测算法、决策算法、调度算法等相关应用,并基于大模型进行充分融合的算法落地。 3. 具备 快速集成能力,能够站在巨人肩膀上,利用开源工具 & API 迅速构建 AI 应用,而不是从零造轮子。 4. 参与 AI 模型微调+训练,让大模型更贴合业务需求,并优化推理速度和成本。

任职资格: 我们正在寻找一位 对AI、对算法充满热爱、对落地充满执念 的算法工程师。你不需要是“完美的答卷人”,但你必须是那个 愿意不断挑战、不断打磨、对结果上瘾的人。 211大学硕士及以上学历,具有独立AI算法开发落地经验者优先,具有储能、电力系统行业从业经验者优先。 ✅ 技术能力 1. 精通 Python,并能高效解决 Java 与 Python 之间的工程化集成问题。 2. 熟练使用 LangChain、LlamaIndex、Hugging Face,具备 RAG / 微调 / 多模态 相关经验。 3. 熟悉向量数据库(如 FAISS、Weaviate、Pinecone、ChromaDB),能优化大模型的知识检索能力。 4. 具备 API 设计能力,能高效调用 OpenAI、Claude、DeepSeek 等大模型 API,并优化调用效率。 ✅ 思维方式 1. 产品驱动思维,不是单纯的开发,而是能思考 AI 应用的实际落地场景和用户价值。 2. 创新能力强,善于另辟蹊径,能够跳出传统思维框架,探索 AI 赋能的新模式。 3. 自驱力强,学习速度快,能够快速掌握新技术,并应用到实际项目中。

硬性要求:1. 必须硕士及以上。2. 必须有过电力系统、储能、新能源等相关行业经验。 软性要求:1. 最好直接做过调度策略、EMS、检测分析。2. 算法最好是预测类算法、运筹类、数据分析类,不要视频和图像类。 新增理由:AI算法团队急缺,公司整体核心AI作为重点方向。

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