Machine Learning Jobs

Machine Learning Jobs is a dedicated space designed for enthusiasts looking to land a Machine Learning job. As part of the all-new Job Search feature of Tutorials Point, this space is designed to be the one-stop destination for job aspirants.

Machine Learning is a branch of Artificial Intelligence that is in high demand. According to Indeed, ML Engineer has ranked as the 8th best job to have in the US and has seen a 53% growth rate since 2020. In the Future of Jobs Report 2023 by the World Economic Forum, there is a projection of 40% growth or 1 million jobs for AI and Machine Learning Specialist roles between 2023 and 2027.

To help aspirants be prepared for this demand, Tutorials Point has designed several training programs. Recently, Tutorials Point has launched its latest Job Search feature to help learners land the job they desire.

Explore jobs in Machine Learning

Tutorials Point has several resources popular for their best quality content which learners can make the most of. Since its inception, the platform has been a prime advocate of self-paced learning that would serve working professionals and students alike. The complete online setup helps you learn any course from anywhere at your own pace.

Tutorials Point Job Search is a sophisticated search portal that brings all kinds of job requirements from around the world for users to explore in one place. Served by the ever-amplifying database, the Job Search portal helps both recruiters and job seekers come together and find the best resource or workplace.

If you are an aspirant looking for a better job, the Job Search portal is your go-to. If you are looking for high-paid Machine Learning jobs, the dedicated job page helps you explore all kinds of Machine Learning vacancies around the world. You can scout through the job openings such as machine learning engineer jobs and AI machine learning jobs, and apply for the ones you desire.

How to find jobs in Machine Learning?

As we have mentioned earlier, Machine Learning is a branch of Artificial Intelligence. It is also a part of computer science. It imitates the way of human learning by focusing on the use of algorithms and data, and gradually improves its accuracy.

The use of machine learning has grown tremendously along with the advancement of technology in storing and processing power. We have witnessed some remarkable innovations enabled by these advances such as the recommendation system on Netflix, and the adaptability of self-driving cars.

As the dependency of such technology or even the handling of the data increases, so will the demand for Machine Learning professionals. Here are a few tips that you can follow to find the right machine learning AI jobs.

Mathematics: Mathematics is a great skill to have when you are getting started with Machine learning. The field works using concepts such as linear algebra, statistics, probability, and multivariable calculus. It helps to great lengths if you have knowledge of these concepts. However, you can still get started without having in-depth knowledge of these concepts with basic training.

Computer Skills: Having computer skills is another prerequisite for getting into machine learning. You need to have basic coding skills to get started even if you are just a fresher as the field of machine learning deals with programming languages heavily. Make sure you are practicing the code you are learning simultaneously.

College Degree: A college degree increases your chances of landing a job. If you would like to get a foundation in a field such as Machine Learning, a degree in computer science will help you tremendously. Employers do value a computer degree, even if it is not the only thing they look for. If getting a degree is not something you can spare, you can pursue a certification to learn everything about Machine Learning. Tutorials Point has designed the best certification programs that you can enroll in, including AI and ML.

Programming Skills: As we have mentioned earlier, programming languages are crucial for a machine learning professional. You need to be proficient in programming languages such as Python or C++. These two programming languages and their associated libraries are commonly used by Data Scientists and Machine Learning Specialists. It also helps if you have knowledge of other languages such as R, Java, SQL, Scala, Julia, and MATLAB.

Machine Learning Concepts: To become a Machine Learning professional, you need expertise in widely used Machine Learning concepts such as algorithm libraries and deep learning frameworks. You would need the expertise of libraries such as Scikit-learn, NumPy, and SciPy as they are common in machine learning. It is also important to learn frameworks such as TensorFlow and PyTorch that create machine-learning algorithms and accelerate solution development.

Communication Skills: Although you will be working on machines, it does not mean you will be working just with the machines. You need to communicate with people like your team members, project managers, coordinators, etc. Machine learning professionals are expected to have sound communication skills as they must discuss solutions with others when any issue arises.

Network Building: Increase your network by building connections with people working in the same field. You can use social media platforms for this and have constructive conversations that will help your career. Ask questions offer assistance when required, and try to participate in professional meetups and conferences. Taking up a machine learning internship also helps.

Tutorials Point Machine Learning Jobs: Finally, it comes down to actually picking jobs to apply for. Make use of the Machine Learning Jobs page which brings all kinds of Machine Learning roles to one spot for you to explore. Use the sophisticated search bar available to look for the role that suits you right. Just type in the role and the city you wish to work in and let the database show you the personalized results.

Top Jobs in Machine Learning and Their Salaries

Machine Learning has become an integral part of various fields. Especially, you will find machine learning playing quite an important role in Data Science. It is used for drawing key insights in data mining projects. It is done by training algorithms using statistical methods to make classifications or predictions. The insights drawn will help make better business decisions and impact key growth metrics.

The demand for data scientist machine learning is on the rise as big data continues to grow and expand. According to the US Bureau of Labor Statistics, Data Science roles are expected to grow 35% from 2022 to 2032. Their median annual salary as of May 2022 in the US is $103,500. Data Scientists are expected to identify the solutions to the relevant business questions through available data and machine learning is becoming their most reliable solution.

Computer and Information Research Scientist is another prominent role in the US that uses machine learning profusely. These roles are projected to grow 23% from 2022 to 2032, with an average of 3,400 openings projected each year over the decade. The median annual salary of computer and information research scientists was $136,620 as of May 2022.

Let us look at some of the top high-paid Machine Learning Jobs from around the world and their pay, according to Glassdoor.

Data Scientist
Experience: 2-4 years
US: $100,000 - $200,000 per year
UK: £42,000 - £67,000 per year
Canada: CA$87,000 - CA$134,000 per year
India: ₹7,00,000 - ₹20,00,000 per year

Machine Learning Engineer
Experience: 2-4 years
US: $171,000 - $241,000 per year
UK: £46,000 - £84,000 per year
Canada: CA$85,000 - CA$100,000 per year
India: ₹6,00,000 - ₹16,00,000 per year

Machine Learning Research Scientist
Experience: 2-4 years
US: $157,000 - $227,000 per year
UK: £30,000 - £47,000 per year
Canada: $66,000 - $105,000 per year
India: ₹9,00,000 - ₹21,00,000 per year

MLOps Engineer
Experience: 2-4 years
US: $92,000 - $100,000 per year
UK: £32,000 - £51,000 per year
Canada: $75,000 - $110,000 per year
India: ₹10,00,000 - ₹20,00,000 per year

Data Science Consultant
Experience: 2-4 years
US: $118,000 - $174,000 per year
UK: £48,000 - £63,000 per year
Canada: $80,000 - $115,000 per year
India: ₹15,00,000 - ₹24,00,000 per year

Computer Vision Engineer
Experience: 2-4 years
US: $100,000 - $200,000 per year
UK: £47,0o0 - £71,000 per year
Canada: $74,000 - $116,000 per year
India: ₹6,00,000 - ₹12,00,000 per year

Entry-level machine learning jobs

You can land an entry-level machine learning job, provided, if you have tailored your resume to the job description of the role you are applying. You need to have notable projects that you can show as your expertise. Demonstrate your machine learning skills in the right way so that the recruiters will know that you are the right person.

• Junior Machine Learning Engineer
• Junior Data Scientist
• Junior Data Engineer
• Junior AI Engineer
• Junior Data Analyst
• Junior Business Intelligence Developer

Machine learning remote jobs

Remote ML jobs like consultant machine learning are becoming more of a norm than they previously were. The same top high-paid jobs are available for you to work in a complete remote setup. All you need is the right platform that would direct you to those roles. Tutorials Point Machine Learning Jobs page curates all remote opportunities from around the world for you to check and apply for. The following is the list of companies that are offering exclusive remote ML jobs.

• Domino Data Lab
• Augury
• The Kraft Heinz Company
• PaperDuty
• Warner Bros. Discovery
• Forge
• Vannevar Labs, and more!

Companies hiring for machine learning jobs

Here is the list of top companies that are hiring for Machine Learning Jobs:

• Amazon
• Facebook
• Apple
• Google
• Uber
• Quantiphi
• Accenture
• PHN Technology
• HighRadius, and more!

Tips to crack machine learning interviews

Follow the tips below to crack the machine learning interview in the right way.

Portfolio: Build a portfolio that would speak of your expertise. Build projects on your own or use datasets that are available on the internet for practicing machine learning. Get started with a small project that requires a simple AI algorithm. Try building that algorithm from scratch so that you get the practical knowledge that you can apply anywhere.

Resume: You need to build a compelling resume that catches the eye of a recruiter. One of the best practices that has proven successful is to customize the resume according to the job description of the role you are applying for. Make sure your work experience and field expertise match with their requirements. And, it is also important to highlight your achievements in your resume and avoid filling the space with activities that had your mere participation.

Interview: You need to prepare yourself for the interview which will test your communication, your technical skills, and your ability to solve a problem. You may be asked to demonstrate your skills through a computer or you might be asked to resolve a problem in a made-up scenario. Make sure you are prepared for both technical and critical questions.

If you are looking towards machine learning as a career, make the most of Tutorials Point where you can learn the technology, explore the job opportunities, apply for the suitable ones, and land your dream job, all in one place.