Science and technology are developing day after day, and so are career opportunities. Machine learning is a field of science that enables computers and machines to imitate the way that humans learn. Furthermore, the best part about it is its ability to automate complex tasks and extract insights from large datasets. Machine learning also contributes to the fields of healthcare, finance, e-commerce, and more. There are many machine learning jobs if you want to make your career in this field. Let’s cover the best ten most in-demand jobs along with their requirements and skills. 

8 Popular Machine Learning Jobs 

Machine learning plays an important role in helping humans to do repetitive tasks, such as data entry, and helps reduce fraud, spam, and other issues. Let’s learn more about the positions. 

1. Machine Learning Engineer

 An ML engineer is responsible for developing ML models. It is among the most popular positions in the field of machine learning. To make the models, they use popular frameworks like TensorFlow and PyTorch. However, to become a machine learning engineer, you should know programming languages, such as Python. The responsibilities of an ML engineer are designing models to solve complex problems, using software applications to integrate models, cooperating on end-to-end ML pipelines, and more. According to Glassdoor, the average package of ML engineers is $112K to $157K per year.

Skills Requirement

• Knowledge of machine learning operations (MLOps)
• Strong programming skills, such as Python
• Basic Mathematics (algebra, calculus, and statistics)
• Understanding of data science and software engineering

2. Data Scientists

Data scientists are professionals who analyze, process, and interpret data to create plans that are beneficial for the organization. Moreover, they are more focused on the analytical side. Basically, they provide collective online information or data. They also develop predictive models with the help of machine learning algorithms. Data scientists collaborate with business teams to check the conditions of the implemented strategies. It is among the most popular machine learning jobs. One should be highly proficient with R and Python languages, mainly for data manipulation and modeling. The average salary of a data scientist is approximately $119,000 per year. 

Skills Requirement

• Basic mathematics understanding (probability, hypothesis testing, and regression)
• Excellent in data manipulation and visualization
• Knowledge about big data, cloud computing, and data manipulation
• Soft skills, such as decision-making, problem-solving, and communication

3. AI/ML Research Scientists

AI/ML research scientists are different from other scientists and engineers as they are responsible for innovations. The scientists have to work with deep learning, NLP, and computer vision. They create new algorithms that improve the existing algorithms. Along with data scientists, data engineers, and computer programmers, they generate unique models. They also publish the research findings in academic journals. It is one of the most popular machine learning and artificial intelligence jobs. However, one should have at least a degree of bachelor’s in computer science to become an AI/ML research scientist. The estimated salary of the scientists is $147K – $246K per year. 

Skills Requirement

• PhD degree in Computer Science, Information Technology, Statistics, or a related field
• Proficient in machine learning and programming languages, such as Python and R
• Strong research and analytical skills
• Mathematical and statistical knowledge of calculus, probability, statistics, and more

4. Natural Language Processing (NLP) Engineers 

Natural Language Processing (NLP) engineers are popular machine learning engineer jobs. They are responsible for machines’ processes and the use of human language. The engineers have to use the algorithms to find the natural language rules and use the rules to let the machines understand and process the languages. Furthermore, they use platforms, such as the Python-based Natural Language Toolkit (NLTK) and statistical NLP. The interactions with conversational AI, chatbots, Siri, Alexa, and other voice assistants would have been possible only because of NLP engineers. The average salary of natural language processing engineers is approximately $89K – $145K per year. 

Skills Requirement

• Expertise in NLP models, techniques, and algorithms
• Proficient in programming languages, such as Python 
• Knowledge about frameworks used in NLP
• Understanding of linguistic concepts including syntax, semantics, and pragmatics

5. AI Product Manager

The AI product manager is responsible for the development of artificial intelligence and machine learning products. They work with engineers, data scientists, and designers to build AI-powered products. This machine learning engineer job is different from others as here the main focus is on higher-level views rather than technical details. Furthermore, they are responsible for analyzing the product performance metrics and taking the user’s feedback to find the areas where improvement is required. For this machine learning job, the US companies offer you approximately $117 to $158K per year. 

Skills Requirement

• Achievement of successful product management in AI/ML products
• Understanding of machine learning concepts and algorithms
• Knowledge of product development and data analysis
• Leadership skills with team motivation

6. AI Engineer

AI Engineer is the best position in the field of machine learning engineer jobs. The engineer should have a deep understanding of machine learning tools and applications. Moreover, AI engineers are responsible for the modification of machine learning models. They have to work on different projects related to software engineering, data mining, and more. They also optimize machine learning models and keep insight into productivity and scalability. However, you can only become an AI engineer if you have a proper knowledge of programming and its skillset. The salary of an AI engineer is about $96K – $166K per year. 

Skills Requirement

• Deep understanding of programming languages, such as Python, R, C++, Java, and Javascript
• Knowledge of machine learning models  
• Understanding of data modeling and engineering
• Deploying AI applications

7. Software engineer

Software engineering is the best machine learning job for beginners. The engineers write code and use it to solve problems.  They deal with designing, developing, and testing the software applications. Furthermore, they are responsible for analyzing users’ requirements, researching and writing codes for new software programs, developing existing programs, and more. The developers help different sectors, including small and large businesses, government agencies, and more. The engineers maintain and improve codebases to enhance productivity. The salary of software engineers is about $92K – $158K per year. 

Skills Requirement

• Knowledge of popular programming languages, such as Java, Python, and C++
• Understanding of TensorFlow or PyTorch
• Testing and Debugging
• Basic understanding of software engineering principles 

8. MLOps Engineer

An MLOps engineer is a position in machine learning jobs where the engineer is responsible for developing CI/CD pipelines that help in automating model deployment. The engineer acts as the bridge between machine learning and developing operations. They also keep monitoring the models for any troubleshooting and have to work with machine learning libraries, such as Tensorflow, Keras, and PyTorch. Furthermore, the salary of an expert MLOps engineer can be $114,500. 

Skills Requirement

• Technical skills in statistical modeling, SQL, and more
• Strong programming skills, such as Python and R
• Write effective and maintainable codes
• Experience with cloud platforms including AWS, Azure, and more

The Last Line

Machine learning is a field that is filled with jobs and career opportunities. However, for any job, you should have a bachelor’s degree in the field of computer science and basic programming skills, such as Python and R. Machine learning is a field that is helping different sectors, such as finance, healthcare, finance, and more. Furthermore, the most popular machine learning jobs are ML engineer, AI engineer, AI/ML research scientist, AI product manager, software engineer, and more. 

Frequently Asked Questions (FAQs)

Ques: What are entry-level machine learning jobs?

Ans: The entry-level machine learning jobs are data scientist, software developer, business analyst, AI/ML developer, and more. 

Ques: Why are ML engineers paid so much?

Ans: The salary of ML engineers depends on their experience and expertise. Furthermore, an experienced professor gets a good salary.

Ques: How hard is it to get into machine learning?

Ans: Machine learning is not just a field full of algorithms, but it also demands knowledge of math and computer science.

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