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职位简介
负责开发、优化及部署AI模型,包括模型训练、微调、数据处理及性能优化。您将与跨部门团队合作,打造高效、可扩展的AI解决方案,并持续提升模型表现与业务价值。
岗位职责
- 开发、训练及优化AI / Machine Learning模型
- 处理、清洗及管理大型数据集
- 调试AI模型并优化模型性能
- 监控模型表现并持续改善准确率及效率
- 与产品、软件及数据团队合作开发AI解决方案
- 整理技术文件及开发流程
任职要求
- 3年以上AI / Machine Learning相关经验
- 熟练使用Python
- 熟悉TensorFlow、PyTorch、Scikit-learn、Hugging Face等AI框架
- 具备数据处理及模型训练经验
- 熟悉Machine Learning、Deep Learning及LLM相关技术
- 具备良好的分析能力、问题解决能力及团队合作精神
加分项
- 有RAG(Retrieval-Augmented Generation)开发经验
- 有AI模型部署及生产环境维护经验
- 熟悉Apache Spark或大型数据处理
- 硕士或以上学历(AI、Computer Science、Data Science等相关科系)
加入我们 | Why Join Us
- 参与AI产品研发及大型AI项目
- 接触最新AI技术(LLM、RAG、Machine Learning)
- 与经验丰富的AI及工程团队合作
- 提供良好的职业发展与学习机会
Job Summary
Develop, fine-tune, and optimize AI models with a focus on machine learning, dataset processing, and model performance. Work closely with cross-functional teams to build scalable AI solutions and deliver innovative products that create real business impact.
Key Responsibilities
- Develop, train, and optimize AI/Machine Learning models
- Process, clean, and manage large-scale datasets
- Debug AI models and improve model performance
- Monitor production models and optimize accuracy, scalability, and efficiency
- Collaborate with software engineers, data scientists, and product teams
- Document AI development processes and best practices
Requirements
- 3+ years of experience in AI/Machine Learning development
- Strong proficiency in Python
- Experience with TensorFlow, PyTorch, Scikit-learn, Hugging Face, or similar AI frameworks
- Strong understanding of Machine Learning, Deep Learning, and AI model training
- Experience with dataset processing and model optimization
- Excellent analytical, problem-solving, and communication skills
Nice to Have
- Experience with RAG (Retrieval-Augmented Generation) systems
- Experience deploying AI models to production environments
- Knowledge of Apache Spark or large-scale data processing
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field
Why Join Us
- Work on cutting-edge AI and Machine Learning projects
- Gain hands-on experience with LLMs, RAG, and modern AI technologies
- Collaborate with an experienced AI and engineering team
- Excellent opportunities for career growth and continuous learning