How To Get Machine Learning Jobs In 2021 – Skills, Courses & Tips

Machine learning is one of the fastest-growing sectors with limitless future scope in 2021. Although machine learning jobs are highly demanding, it is pretty difficult to crack a stable position in a reputed firm. Not only do you need to be swift in handling codes and programs, but also your understanding of advanced mathematics, statistics is mandatory.

It is not at all sufficient to prepare for the interview for machine learning jobs 1 or 2 weeks before. Rather, you require to start taking preparation at least six months prior to the probable interview date. All these might seem extraordinarily confusing and messy to you if you have no previous experience in this field.

Thus, we will share some essential information with you regarding machine learning jobs, including the skills, most demanding positions, courses required, etc. So stay tuned with us and keep reading!

What Are The Most Demanding Job Positions In Machine Learning?

Artificial intelligence is one area that has remained in high demand despite the pandemic. You will be surprised to know that as per the LinkedIn results, the recruiting growth for these professions grew by 32% since 2019. 

Here we have presented the ten most demanding machine learning jobs along with their average salary per annum. Employers will look for the key talents in these jobs: excellent communication skills, software development expertise, and analytical skills.

Moreover, to land a job in a brand like Amazon or Deloitte, you must possess demonstrated experience with various programming languages with a stable salary. Some of these are JavaScript, SQL, Microsoft Excel, R studio, and Python. Please note that these job positions are super competitive also. 

• Data Scientists

Median Salary per annum according to US Labour market: USD 110,000

• Senior Software Engineer: 

Median Salary per annum according to US Labour market: USD 120,000

• Data Engineer: 

Median Salary per annum according to US Labour market: USD 122,060

• Senior Software Engineer: 

Median Salary per annum according to US Labour market: USD 120,000

• Software Developer: 

Median Salary per annum according to US Labour market: USD 95,000

• Software Architect

Median Salary per annum according to US Labour market: USD 135,107

• Full-Stack Developer 

Median Salary per annum according to US Labour market: USD 108,730

• Senior Data Scientist

Median Salary per annum according to US Labour market: USD 127,500

• Principal Software Engineer

Median Salary per annum according to US Labour market: USD 108,730

• Machine Learning Engineer

Median Salary per annum according to US Labour market: USD 125,000

What Key Skills Do You Need To Get A Job In Machine Learning?

             I am sure that you are puzzled about the skills you need to please the interviewers and get into machine learning. Firstly, machine learning is a complicated area that combines Artificial Intelligence with other technologies such as Data Science. Therefore, the relevant skills, knowledge, or traits you require to have are:

1. Excellent Analytical Skills

Each job in the machine learning field revolves around research, problem-solving, forecasting, data mining, data interpretation, and reporting. Nevertheless, analytical ability links to everyone, and employees whose analytical skill is strong enough will possess these sub-attributes. 

2. Communication Skills

Be it any workplace; communication is key to organizational success. An employee can be incredibly expert in his field but may be a poor communicator. So there is no benefit in applying those skills because he will not reflect those across the organization. 

As the responsibilities of an ML employee involve forecasting, reporting, and interpreting, sharing ideas through consistent communication is crucial. 

3. Critical Decision-Making Ability

A machine learning engineer or a data scientist needs to solve highly complex business issues based on industry standards. You will be in a position to make crucial decisions for the company without the assistance of others. So recruiters ensure if you have an abundance of this skill. 

4. Knowledge Of Applied Mathematics

A solid grip on advanced mathematics is another crucial skill that an ML enthusiast must-have. Some focus areas in applied mathematics are linear algebra, multivariate calculus, statistics, probability, Poisson and binomial distributions, and multivariate calculus. 

5. Data Interpretation And Expertise On ML Algorithms

Being an ML specialist, data is your bread and butter, So clear your concepts about data modelling, data interpretation, and a range of ML algorithms. 

What Are Some Courses That Can Help You Get Machine Learning Jobs in 2021?

      Here are some authentic, online ML courses that will add significant value to your portfolio while applying for machine learning jobs. You can check out the details of each course on Coursera for free:

• Advanced Machine Learning Specialization – Coursera

Cost: $49 per month for certificate

• Machine Learning With Python – Coursera

Cost: $39 per month for certificate

• Machine Learning – Coursera

Cost: $79 per month for certificate

• Deep Learning Specialization – Coursera

Cost: $49 per month for certificate

Some Tips And Tricks To Secure A Job In The Field Of Machine Learning

      Here are some master tips collected from the reviews of leading machine learning specialists across the world. Follow these diligently to make a place in machine learning. 

• First of all, enhance your coding skills. Several companies have complex coding rounds in their hiring process. Moreover, gain expertise in dictionaries, trees, arrays, stacks/queues, graphs, and heaps.  
• Get accustomed to different machine learning job’s pivotal criteria. For example, while some jobs focus on machine learning, others encompass deep learning or big data. 
• Boost your visibility on Github and Kaggle to build a portfolio for machine learning job applications. Write multiple codes, solve different problems, work on different programming projects and take part in competitions. 
• Deep-dive into how the ML teams of large organizations create systems by considering scalability, latency, and maintainability 
• Before you start applying for ML jobs, research and shortlist your preferable firms, and try to get referrals but do not become dependent on them. Instead, invest time in sharpening your skills so that you can come out with flying colours even without a referral. 

Summing Up

Now that you know all the basic and primary details of machine learning jobs, what are you waiting for? Start finding companies that match your skills and eligibility; then start applying one by one. Most importantly, take preparation over a long time and gather in-depth knowledge from diverse domains under machine learning.

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