Engineer: Machine Learning III
资格和经验：· 4至 6年机器学习和软件工程经验 ·强大的分析和解决问题的技能 · Python 和 SQL 的专家 · 现代软件开发最佳实践的经验，例如 ·敏捷软件开发 · 代码评测 · 单元测试 · 版本控制，如 git · CI/CD · 微服务架构的经验 · 在敏捷团队工作的经验 • ML 框架和工具 （比如熊猫，NumPy, scikit-learn,TensorFlow,Pytorch,Spark ML）的经验 · 现代 ETL,计算和编排框架的经验；比如 Apache Spark,Apache Flink,Kafka 等 · 开发经验在 Windows 和 Linux 上。· 经验在容器技术，例如 Docker,Kubernetes · 在机器学习或人工智能系统的构建方面的经验 · R 语言的熟练性 · 在生产中部署模型的经验 · 在分布式系统的构造方面的经验 • 在 NoSQL 数据库中的经验 · 与 ML 平台的工作经验，如 MLflow,Kubeflow 等 · 在数据科学平台 （例如 Dataiku,Domino 等）的工作经验 · 基于云基础设施的经验，比如 Azure,AWS,GCP 等；（AWS 优先）· 信息技术学位 -计算机科学或其他工程学 ·相关的信息技术学位 · Python 中对象导向和功能编程 · 现代软件开发实践 · 使用 SQL 的数据库查询 · 数据科学生命周期 ·机器学习概念 ·机器学模型生命周期 · 微服务架构理想：· 数据科学的生命周期 · 分布系统设计 · 大数据存储和处理解决方案 ·机器学習模型架构技能：·分析技巧 ·决策能力 ·规划，组织和协调技能 · 问题解决技巧 · 研究技巧 原创发布在喜马拉雅山
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Qualifications and experience:
- 4 to 6 years Machine Learning and Software Engineering experience
- Strong analytical and problem-solving skills
- Expert in Python and SQL
- Experience with modern software development best practices, e.g.
- Agile software development
- Code reviews
- Unit testing
- Version control, e.g. git
- CI/CD
- Experience with microservice architectures
- Experience working in an agile team
- Experience with ML frameworks and tools (e.g. pandas, NumPy, scikit-learn, TensorFlow, Pytorch, Spark MLlib)
- Experience with modern ETL, compute and orchestration frameworks, e.g. Apache Spark, Apache Flink, Apache Kafka, etc.
- Development experience in both Windows and Linux
- Experience with container technologies, e.g. Docker, Kubernetes
- Experience in building machine learning or AI systems
- Proficiency in R language
- Experience deploying models to production
- Experience building distributed systems
- Experience with NoSQL databases
- Experience working with ML platforms, e.g. MLflow, Kubeflow, etc.
- Experience working with Data Science platforms, e.g. Dataiku, Domino, etc.
- Experience with cloud-based infrastructure, e.g. Azure, AWS, GCP; (AWS preferred)
- A relevant degree in Information Technology - Computer Science or Engineering Other
- A relevant degree in Information Technology - Computer Science or Engineering - Other
Knowledge of:
- Object oriented and functional programming in Python
- Modern software development practices
- Database querying using SQL
- Data science life cycle
- Machine learning concepts
- Machine learning model life cycle
- Microservice architectures
Ideal:
- Data Science lifecycle
- Distributed system design
- Big data storage and processing solutions
- Machine learning model architectures
Skills:
- Analytical Skills
- Decision making skills
- Planning, organising and coordination skills
- Problem solving skills
- Researching skills
Originally posted on Himalayas