Top Career Paths in Machine Learning
If you don’t know what machine learning is in simple terms it is when a machine or a system learns a pattern from experience and can make future predictions or decisions by itself without human intervention. This is a concept of the future and studying it should be a priority for anyone interested in the tech or IT industry. We would suggest, exploring the UniAthena online machine learning course for starters.
Once you have enough knowledge, skills, and even some experience you can choose one of these career options:
Machine Learning Engineer
This professional is responsible for building various machine-learning platforms. Depending on the project they will be working with various programming languages similar to computer engineers.
As a machine learning engineer, one must know the most common programming languages like Python and R.
Roles and responsibilities of a machine learning engineer:
- Study data science prototypes
- Develop machine learning systems
- Learn machine learning algorithms and implement them in systems
- Study datasets
- Experiment with various machine learning algorithms
Business Intelligence Developer
If you are interested in business development you can also benefit from doing a machine learning beginner course. As a business intelligence developer, you will be working with a lot of different tools and analyzing and sorting a lot of data. If you know how to use machine learning algorithms you can make a lot of your job easier and automated.
Along with machine learning, you will also need to learn data analytics and tools like Microsoft Power BI.
Roles and responsibilities of a business intelligence developer:
- Understand business requirements and translate them to the technical team
- Analyse business intelligence systems and make recommendations
- Report on various business activity
- Partaking in business intelligence software development
- Creating technical documentation and reports
Research Scientist
If you are interested in the research part of a job there is scope for you in the machine learning field. Being a relatively new technology there are still many advancements to be made. As a research scientist, you can conduct various research and contribute to developing new algorithms.
Of course, working in research you must be a good problem solver and be able to carry out complex mathematical equations.
Roles and responsibilities of a research scientist:
- Conduct research and experiments
- Write reports and papers based on the research
- Record and analyze data
- Collect samples for research
- Conduct quality checks
Data Engineer
Another important data-centered job that can become easier with machine learning knowledge is that of a data engineer. As a data engineer, you will be responsible for designing various data tools that help make the data analysis process easier. Various machine learning models can be used to make the entire thing effortless.
As a data engineer, you would be required to learn data analysis techniques, programming languages, as well as machine learning algorithms.
Roles and responsibilities of a data engineer:
- Organize data and prepare it for analysis
- Develop data systems
- Understand the requirements of a business and shape the data accordingly
- Study trends and patterns in data
- Build algorithms to make the process easier
Can A Machine Learning Online Course Help Make A Career Switch?
If you already have a technical background such as programming, data analysis, or engineering, then making the transition to machine learning will be smooth sailing. Most machine learning professionals start with a programming background.
But in case you come from a non-IT background, then you might find machine learning challenging. Learning a programming language will help you because most machine-learning professionals are required to know at least Python. So if you are planning on making a career switch keep that in mind.
Explore The UniAthena Online Machine Learning Course
If you are looking for a free learning option to study machine learning UniAthena has just the thing for you. The Basics Of Machine Learning Algorithms course is ideal for people who are aspiring to a career in the field. Especially if you are making a transition in your career this course can help you understand the nuances of machine learning.
Check out the program and enroll now.
