what is the role of a machine learning engineer and a data scientist? what technical skills do they need
Answers
Answer:
The interdisciplinary nature of the role means that machine learning engineers are well versed in foundational data science skills such as understanding data structures and data modeling, quantitative analysis methods, building out data pipelines, and statistics, while also knowing computer science fundamentals. A data scientist's role on the other hand, they combines computer science, statistics, and mathematics in everything they do. They analyze, process, and model data then interpret the results to create actionable plans for companies and other organizations.
The interdisciplinary nature of the role means that machine learning engineers are well versed in foundational data science skills such as understanding data structures and data modeling, quantitative analysis methods, building out data pipelines, and statistics, while also knowing computer science fundamentals. A data scientist's role on the other hand, they combines computer science, statistics, and mathematics in everything they do. They analyze, process, and model data then interpret the results to create actionable plans for companies and other organizations.Soft skills are what set apart effective engineers from those who flounder. While machine learning engineering is, at its core, a technical job, soft skills such as the ability to clearly communicate, problem solve, manage time, and collaborate with others are what lead to a project’s successful completion and delivery.
Explanation:
The role of a Machine Learning Engineer is the machine learning engineers design AI-based models that can work properly and give best performance. Technical skills do they need are as following:
· Strong programming skills in language, such as Python, java etc.
· Strong mathematical skills, especially in Probability and Statistics.
· In-depth understanding of a broad set of algorithms and Applied mathematics.
· Problem-solving and analytical skills.
And the role of a Data Scientist are how data can be used to achieve business goals. They develop algorithms that enable the collection and cleaning of data.