Explaining a STEM role (machine learning)

During this blog, I will explain what an ML developer does.

• What does “STEM” mean?

It stands for “science, technology, engineering, and math” and is an acronym that describes jobs or activities that need these fields.

• Why is machine learning an important role in STEM fields?

Machine learning is important because it gives enterprises a view of trends in customer behavior, and business operational patterns, and also supports the development of new products. Many of today's leading companies make machine learning a central part of their operations as it helps them to make better decisions.

• What is unique about machine learning?

In summary, the unique aspects of machine learning are that?it continually learns and adapts based on data.

• What makes this role similar to others?

This role is similar to other developer positions as it requires the usage of similar tools, methodologies, and work-flows

• What specific programming languages and tools could one expect to work within this position?

The fundamentals are a good understanding of Software eng, Data Science, and additional machine learning skills like deep learning. Moving forward to the actual languages used in this position, the main one would be Python, however, other languages are needed to work on a lower level. So you may need to use languages such as C++, R, and Java.

• Example of a problem or a challenge someone in this role could solve or be asked to work on?

Clear problems this tech solves are:

1. Recommending products
2. Data-driven marketing
3. Image and video recognition

• What are some positives and negatives about this position?

On one hand, the interesting side of learning ML is that in terms of salary, growth of postings, and general demand is one of the best roles in the IT industry. On the other hand, some people say it may be harder to learn, as it is a quite new field.

Thanks for reading, and I hope you understand and have more knowledge about this job.