Machine Learning

偏僻的

💥 工程學

Machine Learning Engineers are responsible for creating the systems that power chatbots, driverless vehicles, predictive text and algorithms that place ads on websites and recommend search results. For your company, an Engineer may create systems that can enhance the customer experience to boost sales, differentiate you from your competitors and increase customer loyalty and retention. Depending on your industry, a Machine Learning Engineer may play a key role in research and development. Systems they design might allow you to be the first to market a product or service that’s more advanced or user-friendly.

Machine Learning 做什麼？

The primary task of a Machine Learning Engineer is to create AI capable of mimicking human thought processes as closely as possible so that they can function reliably and effectively.

職責

A Machine Learning 應該能夠履行各種職責和責任。以下是 Machine Learning 應該能夠執行的一些職責和責任：

Working with project managers to establish objectives for AI systems
Creating AI algorithm prototypes based on project specifications
Running tests to assess AI performance
Analyzing data gathered during tests to identify strengths and weaknesses of AI
Implementing changes to algorithms to improve AI performance
Troubleshooting and addressing problems with deployed AI to improve user experience

所需技能

有競爭力的Machine Learning將擁有一定的技能和資格，包括：

Rigorous knowledge of R, Java and Python programming to develop software
In-depth knowledge of machine learning data structures and modeling, software architecture, libraries and frameworks to create AI that accomplishes outlined goals
Strong mathematics skills, especially in statistics, to create algorithms
Effective oral and written communication skills to collaborate with others and write detailed, easy-to-read reports
Advanced analytical skills to interpret test results and performance metrics
Creative thinking skills to come up with new solutions and approaches

類似優惠

如果您正在招募與Machine Learning相關的職位，請參閱我們類似職位的職位說明：

Petroleum Engineer