Machine learning engineers are the architects of the artificial intelligence revolution. They can help organizations leverage their data for informed decision-making. By developing predictive models and algorithms, they enable companies to understand customer behavior, market trends, and operational efficiencies, leading to smarter business strategies.

Growing companies are hiring Machine Learning Engineers to improve customer relationships, enhance productivity, and innovate business ideas. Are you looking for Machine Learning Engineers to join your team?

Then, you should know this too! From early-stage screening, interviewing, onboarding, training, and retaining, numerous challenges await at all the steps of recruiting. Here is a complete guide that will help you explore the benefits of hiring machine learning engineers, the strategies involved in the process, and how to hire machine learning engineers with ease. Read for more!

Why Hire Machine Learning Engineers for Your Business? 

To keep pace with the fast-growing technology, companies need to hire the right talent in the first place. According to a recent study, the global Machine Learning market is expected to grow at a compound annual growth rate (CAGR) of 43.8% from 2021 to 2028.

The spiking complexity of Machine Learning in the tech and the emergence of advanced Machine Learning tools in the market have laid the way for the increasing demand for Machine Learning Engineers in the Industry. So, it’s high time for businesses to hire Machine learning engineers to improve their AI, manage risks, analyze performances, improve customer experience, and more. 

This complete guide helps you navigate the challenges that come your way when you hire machine learning engineers. In this guide, you will learn the importance of machine learning for your organization, the benefits, the things to look for while recruiting, and how to hire machine learning engineers with ease. This guide also provides tips on where to find and attract top talent and how to overcome common hiring challenges. 

Make sure you understand machine learning fundamentals like Python, SQL, deep learning, data cleaning, and cloud services before we explore them in the next section. You should consider joining GUVI’s Machine Learning Career Program, which covers tools like Pyspark API, Natural Language Processing, and many more and helps you get hands-on experience by building real-time projects.

Instead, if you would like to explore Python through a Self-paced course, try GUVI’s Python Self-Paced course.

What Makes the Best Machine Learning Engineer?

Machine learning is the subset of the Artificial intelligence field. It enables computers to learn naturally without the requirement of any programming. The job description of a Machine Learning Engineer overlaps with the job description of a Data Scientist or analyst. 

However, a Machine Learning engineer is a role that requires you to have a strong foundation in computer science, statistics, and mathematics, combined with experience in software engineering and data analysis. The following skills make up the best machine learning engineer for your company.

• A machine learning engineer should have a strong foundation in programming languages like Python, R, Java, Git, Docker, and Kubernetes. 

• They should be able to write efficient and scalable code and be familiar with various data structures and algorithms.

• They should be able to work with SQL, and Pandas and be familiar with agile methodologies, test-driven development, and more. 

• They should have a good knowledge of frameworks like Pytorch or TensorFlow, algorithms like Scikit, and many others. 

• Excellent communication skills and ability to articulate complex technical ideas to non-technical audiences (stakeholders). 

• The hire should also be an out-of-the-box thinker with good problem-solving skills. Because these skills will help them curate manageable solutions to complex business problems.

Top Benefits of Hiring Machine Learning Engineers for Your Business

Machine learning engineers can bring numerous benefits to your business. The following are the compelling reasons why you should hire a machine learning engineer for your team.

Improved Customer Experience:

Global Organizations are investing in Machine Learning to understand client behavior patterns. Companies can hire Machine Learning engineers to study their customers, and their preferences through data and make meaningful and more impactful suggestions. This will improve your customer satisfaction rate and enhance customer loyalty.   

Make the Most of Unstructured Data:

With Machine learning Engineers, you can manage your unstructured and accumulated data. Machine learning Engineers can manage, remove, and retrieve any information that benefits the growth of the business.

Better Algorithms:

A machine learning engineer carries out data-based analysis and fine-tunes the existing machine learning algorithms to suit the changing needs of your business better.

Real-time Decision Making:

A skilled machine learning Engineer will help the company make real-time, data-driven decisions faster and better.

Leverage Automation:

Machine Learning engineers help companies automate model training and evaluation processes.

Assured Efficiency:

A machine learning engineer is responsible for designing, developing, and deploying machine learning systems. They also monitor and optimize them to ensure their accuracy and efficiency for the business. 

Qualities to Look for while Hiring a Machine Learning Engineer

Machine Learning Engineer has certain qualities and skills that might help your organization stand out from the crowd. So, look for these common traits in a machine learning engineer when you find an ideal fit for your business.

Cognitive Skills

A Machine Learning developer must be creative enough to understand your domain, business idea, and how to differentiate your product from others. They should have the ability to develop unique ideas and build a data model that reflects the company’s goals. 

Zeal to Learn and Develop

The field of Machine Learning is constantly evolving. To meet the dynamic tech scene and business advancements, the ML engineer should have a strong passion for learning, understanding, and implementing new technologies with Machine Learning and AI to bring desired outputs. They should have a strong will to stay up to date with the latest technologies used in the industry. 

Strong Portfolio

The expected candidate should have prior hands-on experience to understand your product operations and expectations better.

Strong foundational knowledge

Your hire should possess strong knowledge of programming languages like C++, Java, Python, HTML, and JavaScript. 

Analytical Skills

It is impossible to define Machine Learning without data analysis. A good Machine Learning Engineer needs to quickly filter large data sets, identify patterns, and know how to use that data to come to meaningful and actionable conclusions.

To visualize data and help companies act better, they should have expertise in data visualization tools like Excel, Tableau, Power BI, Plotly, and Dash.

How to Hire Machine Learning Engineers in India with Ease?

Modern-day Machine Learning Engineers are in high demand and less in number. But how to hire the ones that best suit your business needs? Growing businesses can simplify their complex efforts and increase productivity with an integrated and seamless recruiting partner, GUVI for Corporates.

How does GUVI for Corporates make your Hiring easy? 

GUVI, an HCL Group company is one of India’s leading integrated edtech platforms offering technical courses created by industry experts in vernacular languages. GUVI is trusted by 600+ Corporates across the country. 

With GUVI’s smart hiring services, businesses can eliminate external hiring expenses like advertising costs, third-party fees, consulting fees, technology fees, and some internal expenses like training & onboarding costs, and save up to 70% on cost-per-hire and fasten the pre-onboarding process like screening, coding tasks, and more. 

Growing businesses can hire trained fresher or mid-to-senior level Machine Learning Engineers with strong technical and non-technical skills at affordable costs.

Are you looking for a highly-skilled Machine Learning Engineer for your team?

GUVI offers growing companies with candidates who are highly trained by industry experts for up to 6 months. They work on real-life technical projects with expert guidance to build a strong portfolio and understand the industry better.  You can hire IIT-Madras and IIM-Ahmedabad certified Pool of Techies based on your customized hiring needs.

Technologies Our Learners are Trained On

Learners at GUVI are trained to meet the technological demands of the industry by our IIT experts. They are seasoned with the knowledge of in-demand industrial skills and tools such as:

• Python 

• SQL 

• Shell Script

• Cloud services

• Pyshark API

• Data Cleaning 

• Data Visualization

• Machine Learning

• Deep Learning 

• Natural Language Processing (NLP)

• Computer vision & many more

More Hiring solutions from GUVI for Corporates

With GUVI for Corporates’ Hiring services, companies can achieve stress-free and low-cost hiring.

End To End-campus hiring

Businesses can leverage GUVI for Corporates’ campus hiring to hire fresh talents across the country with specific hiring demands.

HYRE Assessment Tool

HYRE is a seamless end-to-end recruitment tool used for screening, assessment, and evaluation. It equips companies to create, customize, manage, schedule, and track role-based tests.   

It has a great library with customizable questionnaire templates with different difficulty levels for individual job roles.

Lateral Hiring

GUVI for Corporates’ Lateral Hiring Team enables you to save time yet find the best mid-level talents with ease.

Corporate Training Suite

Accelerate Productivity with Advanced Training for Your Team. GUVI for corporates’ technical corporate training and soft skills training enables businesses to leverage the maximum workforce potential. 

Kickstart your Machine Learning journey by enrolling in GUVI’s Machine Learning Career Program where you will master technologies like matplotlib, pandas, SQL, NLP, and deep learning,  and build interesting real-life UI/UX projects.

Alternatively, if you would like to explore Python through a Self-paced course, try GUVI’s Python Self-Paced certification course.

Wrapping Up

Bringing in a Machine Learning Engineer for your business is crucial as they stay on top of data and make your AI better. They also collaborate with and offer data insights to different teams like Marketing, sales, IT, Software development, and more. 

This guide summarizes everything you need to know when you hire machine learning engineers and will help you discover the journey of bringing in a skilled Machine Learning Engineer for your business. 

FAQs

1. How do I find and hire a Machine Learning Engineer?

GUVI for Corporates helps companies find the right talent for their business with its streamlined and efficient hiring services. You can find skilled machine learning engineers who are well-trained with the latest tools and technologies with GUVI. You can reduce cost-per-hire and close recruiting in a week with GUVI hiring.

2. Is the corporate training online or offline?

Our corporate training suite is 100% online and customizable according to business requirements. It promotes hands-on learning with bite-sized engaging video content. 

3. Can I get a demo for the Hyre tool?

Yes, You can opt for the demo of the HYRE tool by signing up.

4. Is the Hyre tool easy to use?

Hyre tool is easy to use and involves very little admin intervention after setup. You can send timely emails to candidates and track all your efforts with the all-in-one smart dashboard.

5. How do I hire a Machine Learning Engineer with GUVI hiring?

You can share your recruitment task and let us perform the initial screening for you. You can shortlist from the pool of 100+ trained and certified candidates based on your business requirements. Conduct hassle-free interviews with the shortlisted candidates. Release offer letters for deserving candidates and close the hiring in no time.