人工智能开发工程师
重庆鹏派机械设备有限公司ChengduUpdate time: August 28,2019
Job Description
主要任务:
- 研究和评估人工智能和机器学习的新概念和想法.
- 利用人工智能和机器学习算法，设计和构建原型，以证明基于当前技术的概念.
- 进行研究以确定有竞争力的人工智能方法与技术，以支持Carelytix 和客户的业务需要.
- 设计并实现可用并可靠的微服务架构.
技能要求
- 计算机科学，数学，统计学，或相关专业学士及以上学位.
- 基于现有人工智能技术及机器学习算法2年以上实际经验.
- 能独立建立原型及系统，包括构想, 计划, 启动并实现.
- 能定位并解决复杂问题，通过评审开发相关的信息， 提供可选择的方案与实现.
- 熟悉人工智能，机器学习算法. 详细内容请参考”优先资格”.
- 对微服务架构有深入的了解, 并有基于微服务的实际项目经验.
- 理解常用的关系型数据库及非关系型数据库并熟悉对应的查询语言比如SQL.
- 良好的沟通能力和技巧，能创建专业的演示文稿并演示，能根据受众的不同进行高效的书面及口头沟通.
- 有云技术相关经验(AWS更好) 并且能设计解决方案充分利用它的优点.
优先资格(至少满足以下的6项)
- 熟悉 Java (或 C#), 熟悉 Python
- 较强的定量推理能力
- 熟悉机器学习算法，包括:
- 支持向量机 (SVM)
- 随机森林 (RF)
- 遗传算法(GA)
- 人工神经网络 (ANN)
- 熟悉数据科学概念, 包括:
- 过度拟合
- 算法选择
- 超参数优化
- 有机器学习库经验, 包括:
- LibSVM
- Tensorflow
- Keras
- Scikit-Learn
- 有自然语言处理经验, 包括:
- 词干提取
- 词袋模型 / N元模型
- 词频 – 逆文档词频 (TFIDF)
- 语义解析/ 显示语义解析 (ESA)
- 文本分类/ 路由
- 非结构化文本处理
- 语音转文本算法
- 其他AI经验
-
Primary Responsibilities:
- Work on researching and evaluating new concepts and ideas of AI and Machine Learning.
- Design and build prototypes to prove concepts based on current technologies utilizing Artificial Intelligence and Machine Learning algorithms.
- Perform competitive research to identify AI methods and AI technologies that can support Carelytix and customers business needs.
- Design and implement a solid workable Microservices Architecture.
Skills Requirements
- BS in Computer Science, Mathematics, Statistics, or a related field.
- At least 2 years of hands on experience with current technologies of Artificial Intelligence and Machine Learning algorithms.
- Ability to build prototypes and systems with knowledge of all steps within the design process: conception, planning, initiation, and implementation.
- Ability to identify complex problems and review related information to develop and evaluate options and implement solutions.
- Experience with AI, NLP and ML algorithms. See detail below.
- Solid understanding of Microservices Architecture.
- Experience implementing software using Microservices.
- Understanding of both Relational and modern databases and corresponding query language such as SQL.
- Strong communication skills and ability to create professional presentations and present to peers and management. Effective written and verbal communication skills adapted to the intended audience.
- Experience with cloud technology (AWS preferred) and designing solutions that leverage its unique advantages.
Preferred Qualifications (at least 6 skills among the following)
Strong Java (or C#), and Python programming skills
- Strong quantitative reasoning skills
- Familiarity with machine learning algorithms, including:
- Support vector machine (SVM) classifiers
- Random Forests (RF)
- Genetic Algorithms (GA)
- Artificial Neural Networks (ANN)
- Familiarity with data science concepts, including:
- Overfitting
- Algorithm selection
- Hyperparameter optimization
- Experience with Machine Learning libraries, including:
- LibSVM
- Tensorflow
- Keras
- Scikit-Learn
- Experience with Natural Language Processing, including:
- Word Stemming
- Bag-of-Words / N-Gram Models
- Term-Frequency Inverse-Document-Frequency (TFIDF) Vectors
- Semantic Interpretation / Explicit Semantic Analysis (ESA)
- Text categorization / text routing
- Processing unstructured text
- Using speech-to-text algorithms
- Other artificial intelligence (AI) experience
职能类别： 算法工程师 机器学习工程师
关键字： AI 人工智能 机器学习
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联系方式
上班地址：在家上班
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