算法工程师-杭州

职位描述

Responsibilities工作职责

 数据处理与清洗：清洗和整理数据，确保数据质量。构建数据管道，确保数据的可用性和一致性。

Data processing and cleansing: cleansing and organizing data to ensure data quality. Build data pipelines to ensure data availability and consistency.

 算法开发：设计和实现高效的数据处理算法。开发机器学习模型，包括但不限于分类、聚类、回归等。优化算法性能，确保低延迟和高吞吐量。

Algorithm development: design and implement efficient data processing algorithms. Develop machine learning models including but not limited to classification, clustering, regression, etc. Optimize algorithm performance to ensure low latency and high throughput.

 数据分析：进行统计分析，发现数据中的模式和趋势。解释分析结果，为业务决策提供依据。

Data analysis: Perform statistical analysis to identify patterns and trends in data. Interpret the results of the analysis to inform business decisions.

 模型训练与部署：训练和验证机器学习模型。部署模型到生产环境，确保模型稳定运行。

Model training and deployment: train and validate machine learning models. Deploy models to production environments to ensure stable model operation.

 性能优化：优化算法的计算效率和内存使用。提升算法的准确性和鲁棒性。

Performance optimization: optimize the computational efficiency and memory usage of the algorithm. Improve the accuracy and robustness of the algorithm.

 系统集成：将算法集成到现有的数据平台和应用程序中。确保算法与系统的兼容性和稳定性。

System Integration: Integrate algorithms into existing data platforms and applications. Ensure compatibility and stability of the algorithm with the system.

 文档编写：编写技术文档，包括算法设计、实现细节和使用说明。为团队成员提供培训和技术支持。

Documentation writing: write technical documentation including algorithm design, implementation details and usage instructions. Provide training and technical support to team members.

 持续学习：跟踪最新的数据科学技术和趋势。不断学习新的算法和技术框架。

Continuous learning: keep track of the latest data science techniques and trends. Continuously learn new algorithms and technical frameworks.

任职要求

(a) Academic / Major 学历/专业

 计算机科学、数学、统计学或相关领域的本科及以上学历。

Bachelor's degree or higher in Computer Science, Mathematics, Statistics or related field.

(b) Professional Skills 专业技能要求

 熟练掌握Python、R、Java等其中一门编程语言。

Proficiency in one of the programming languages such as Python, R, or Java.

 精通机器学习框架，如TensorFlow、PyTorch、Scikit-Learn等。

Proficient in machine learning frameworks such as TensorFlow, PyTorch, Scikit-Learn, etc.

 了解SQL和NoSQL数据库。

Understanding of SQL and NoSQL databases.

 熟悉数据结构、算法设计和复杂性分析。

Familiarity with data structures, algorithm design and complexity analysis.

(c) Working Experience 工作经验要求

 2-5年的相关工作经验。2-5 years of relevant work experience.

 具有实际项目经验，特别是在数据处理和机器学习领域。

Hands-on project experience, especially in the area of data processing and machine learning.

(d) Language ability 语言能力

英文熟练Proficient in English

(e) Computer Literacy 电脑相关知识

精通 Proficiency

(f) Other abilities such as Communication skills\Information-gathering skills.

本岗位要求的其他能力：如沟通能力\信息收集能力等。