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Artifical Intelligence

Top 7 Career Options in Machine Learning & Cloud

Machine Learning isn’t any extra a buzzword – it’s a living reality of our time that has given birth to numerous unique professions in the Data Science area. From being a technology that was as soon as out of attain for small and medium-sized enterprises, ML is now a mainstream technology, because of the public cloud get best Career Options in Machine Learning. 

At this time, the highest cloud computing platforms like Amazon (AWS), Google (ML Engine), and Microsoft (Azure) have helped democratize AI and ML and made it each accessible and inexpensive. Each big and small cloud platforms are reinventing AI and ML to create innovate providers that may posit these disruptive technologies throughout the organizational structures.

Of all of the services offered by the cloud, ML platforms are one of many fastest-growing services. That is primarily due to the flexibility with which they are often rolled out. Opposite to other cloud-based services, cloud ML platforms will be delivered through a number of different delivery models, together with cognitive computing, GPU-based computing, automated machine learning, and ML model management and Career Options in Machine Learning.

As a rising variety of enterprises throughout all industrial sectors are leveraging ML, it’s boosting the employment prospects in this area. Based on Certainly’s 2019 report of “The Finest Jobs in the US,” Machine Learning Engineer is the top-ranking job with a staggering 344% progress and an average base salary of $146,085 per yr!

And with cloud evolving as a serious destination for ML-based projects and services, careers in the cloud are skyrocketing as nicely. Even in India, It is likely one of the highest-paid jobs for freshers. It’s estimated that by 2021, the overall income for cloud computing providers will exceed $300 billion. 

Career Options in Machine Learning in the cloud is the brand new trend in the industry as a result of when combined, the potential and capabilities of each ML and the cloud multiply. Since ML in the cloud doesn’t demand a particular set of advanced expertise (a basic data of ML concepts and the cloud platform will do), it presents a beautiful opportunity for career building. Additionally, the cloud makes ML models/services far more scalable, providing sufficient scope for meeting dynamic business requirements.

Now, with out further ado, let’s have a look at among the most in-demand ML in the cloud job profiles. 

Top 5 Machine Learning & Cloud Job Profiles

1. Machine Learning Engineer

The job profile of an ML Engineer is likely one of the most wanted roles in the Data Science area. ML Engineers are primarily responsible for designing and implementing ML algorithms using completely different programming languages and ML libraries. These ML algorithms are then used to process and analyze massive datasets to extract and uncover significant patterns from them.

2. Data Scientist (using the cloud) 

In gentle of the ever-increasing pile of Big Data, the cloud has become the ultimate destination for storing and accessing data. Hence, understanding the functioning of the cloud is pivotal for a Data Scientist. Usually, Data Scientists have to work with quite a lot of data (structured, semi-structured, unstructured), analytics tools, and programming languages by leveraging the cloud platform. 

3. Data Engineer

Data Engineers develop, construct, test, and keep important data architectures, together with databases and large-scale processing systems within an organization. Data engineers often deal with raw data that will or might not be validated, and therefore, it might contain human or machine errors. They use completely different tools and programming languages to boost data quality, efficiency, and reliability.

Also Read: Top 12 Highest Paying Jobs in Technology in India [2021]

4. DevOps Engineer

DevOps Engineers are IT experts who’re well-versed with the Software Development Life Cycle (SLDC). They work in close collaboration with Software Developers and Operations teams to deal with and oversee code releases. DevOps Engineers often have a superb understanding of automation tools required for constructing digital pipelines (CI/CD pipelines). They deploy product updates, identify issues (if any) in production, and implement the required integrations to fulfill customer wants.

5. Software Engineer/Developer (Machine Learning)

Software Engineers/Developers are primarily responsible for growing software that may solve business issues and challenges. Software Engineers/Developers make use of varied ML techniques and tools all through the SLDC to analyze buyer wants and design, test, and develop the software accordingly. They have to regularly work to enhance the system and product quality by figuring out issues, fixing them, and discovering new opportunities for improvement using completely different ML tools and algorithms.

6. Deep Learning Engineer

Deep Learning Engineers are ML experts who specialize in Deep Learning platforms. Their major task is to develop intelligent programming models/systems that may mimic the function of the human mind. To attain this end, Deep Learning Engineers use artificial neural networks for building machines that may function with out human intervention and study from experience.

Also read: Machine Learning vs Neural Networks: What is the Difference?(Opens in a new browser tab)

7. Technical Program Manager 

Technical Program Managers are responsible for overseeing and managing every kind of technical projects by means of each stage of development, from idea and design to completion. Technical Program Managers regularly work to determine new sources of income for the corporate and develop new products to extend firm income. They lead teams of Project Developers and Designers and report to upper-level management executives.


To conclude, the career prospects in ML and the cloud look highly promising. As these domains are ever-evolving, new breakthroughs are being made every day. The fast progress and adoption of ML and cloud technologies are further creating an enormous demand for professionals with ML and cloud computing expertise.

One other beauty of a career in ML and the cloud is that the shortage of talent in these spheres has pushed the salaries of most job profiles to six figures. So, rest assured, anyone wishing to build a profession in ML or the cloud can look forward to a promising future whereas making tons of money!

Editorial Team

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