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Machine Learning Engineer
岗位职责
- 负责生产优化模型（深度强化学习）的训练及上线部署；
- 负责基于历史数据的决策优化模型（深度强化学习）的研究和应用；
- 负责模型验证和测试，持续优化模型性能和计算效率；
- 参与大数据平台的建设与维护。
任职资格
- 计算机、数学、物理及工程相关专业本科及以上学历；
- 至少熟练掌握C++、Python和脚本语言中的一种；
- 熟悉Linux环境，熟悉Tensorflow、PyTorch等主流深度学习框架中的一种；
- 具备机器学习相关开发经验，有RL（强化学习）开发经验者优先；
- 熟悉SQL和掌握Hive、Presto等数据库/数据仓库者优先；
- 具备良好的逻辑思维能力、抽象思维能力、解决问题能力，以及系统设计能力；
- 具备良好的沟通能力、团队协作精神和学习能力；
- 具备大数据处理、机器学习基础者优先。
Is machine learning a good career?
Yes, machine learning is a rapidly growing field and can be a very promising career option for those interested in it
As businesses and industries increasingly rely on data to drive decision-making, there is a growing need for skilled professionals who can analyze and make sense of this data
Machine learning, which involves developing algorithms that can learn from and make predictions on large datasets, is a crucial part of this process
Machine learning careers can range from data analysts, machine learning engineers, data scientists, and more
These professionals work in a variety of industries, including finance, healthcare, e-commerce, and technology
The demand for machine learning experts is high, and the salaries in this field are also generally quite competitive
However, it's important to note that machine learning can be a complex field that requires a strong background in mathematics, statistics, and computer science
It also requires ongoing learning and staying up-to-date with the latest developments and tools in the field
If you enjoy working with data, have a strong interest in programming, and are willing to put in the effort to stay current with developments, a career in machine learning can be very rewarding.