Machine learning (ML) is an application of artificial intelligence (AI) that is used to improve machine learning processes without extensive programming. This process contributes to the usability of social media platforms, customer service interactions, voice and image recognition, data analysis, etc. in everyday life. Benefits that businesses can gain by leveraging ML include automating tasks, improving databases, working with data more efficiently, and complying with a wide range of applications across many sectors.
Machine learning teaches machines to learn on their own, reducing human interaction, making it a popular tool used in many industries with a variety of career options.
Qualifications needed for machine learning jobs
Most jobs require a bachelor’s degree in a field related to machine learning, such as computer science, statistics, or mathematics. Some potential employers may want you to earn an advanced degree in a subject related to the machine learning field you are pursuing. Many companies are looking for specific skills to fit the job, so it helps to have a clear idea of the career you want to pursue.
If you have the analytical skills needed to work in machine learning, you have a wide range of career options, including many remote work opportunities. Industries that are adopting machine learning include:
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finance
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work
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genetics
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health care
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retail
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education
7 machine learning jobs
There are many career options in machine learning where skilled professionals are in high demand and pay well. Read on for seven options to consider.
1. AI Ethicist
Average annual salary for IN (Glassdoor): ₹23,73,000 (AI expert) [1]
Ethics plays a fundamental role in AI and its future impact on society. AI ethicists ensure that systems are used in moral and autonomous ways by protecting privacy and preventing discrimination and other social injustices. By leveraging AI ethicists to instill transparency into their programs, companies can avoid potential legal issues around data collection. AI Ethicists reduce ethical risks and bias. AI ethicists are responsible for informing company leaders about non-technical issues with AI that may be inadvertent. Not only should company leaders be provided with this information, but they should also be made aware of the risks that these issues may pose.
Requirements: In addition to a bachelor’s degree in a related field such as philosophy, ethics, computer science, or a related field, advanced education specific to ethics may be advantageous. Although not required, real-life experience may be helpful, such as an internship, research project, previous work in a technology field, or a certification or training program that focuses on expertise in ethics, technology, or a related field.
2. Automation Engineer
Average annual salary for IN (Glassdoor): ₹7,40,000 [2]
If you have impeccable technical skills, becoming an automation engineer may be a great career choice. As technology continues to grow, so does the need for engineers who can automate more tasks. An automation engineer’s job is to improve computer processes and automate areas of system technology to reduce human interaction. Automation engineers often work in fields that use machines to perform specific functions.
Requirements: Most automation engineers have a bachelor’s degree in computer, electrical, or mechanical engineering. It may be helpful to attend an engineering college that focuses on areas such as statistics, databases, or robotics. General knowledge with emphasis on electronic and electrical systems is required. Taking the Joint Entrance Examination (JEE) increases your chances of getting admission into an engineering college. Narrow down your options by choosing a specialty and highlight the skills needed for the position on your resume.
3. Business Analyst
Average annual salary for IN (Glassdoor): ₹8,80,70 [3]
Business analysts play an important role in the operations of a company. Responsibilities of this role include driving revenue, increasing efficiency through process improvements, and identifying problems and needs that may arise. Business analysts act as intermediaries, connecting business and technology teams. They play a key role in collecting and analyzing business operations, discovering problems, and discovering ways to fix them. This requires the following necessary steps:
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interaction with others. Gather all information from clients, stakeholders, and employees to learn more about the issue.
Requirements: A bachelor’s degree in business administration, management, accounting, marketing, computer science, or related field is required, and a master’s degree is preferred. Most business analysts have an IT background and an MBA. Also, consider enrolling in a business analyst certification course, such as the Certified Analytics Professional (CAP) or Business Analysis Entry Certificate (ECBA), to expand your career and salary options.
4. Business Intelligence Developer
Average annual salary for IN (Glassdoor): ₹7,12,500 [4]
Business intelligence developers create enterprise intelligence tools and draft reports for use by business analysts and other data analysis managers. They develop interfaces that break down complex information into easy-to-understand data interaction tools. Their role is essential in converting analyzed data into understandable and functional insights for decision makers.
Requirements: Employees must have a bachelor’s degree in computer science, mathematics, or engineering. Most potential employers are looking for candidates with strong problem-solving skills and strong intellectual abilities for the role.
5. Data Analyst
Average annual salary for IN (Glassdoor): ₹7,50,000 [5]
Data analysts are in demand in a variety of industries. Analyze all the relevant information and data you need to make important business decisions, such as developing products, entering new markets, discovering investment opportunities, and acquiring new customers. Data analysts are responsible for conducting research to find information from all relevant sources, cleaning raw data, and reducing errors and duplication found in machine learning processes. This information is passed on to management and used as a framework for making business decisions. Analysts collect, examine, and analyze data to identify patterns that can help improve your business in the future.
requirements: Most employers seek candidates with a bachelor’s degree specializing in computer science, engineering, applied mathematics, or statistics. Many employers are looking for potential data analysts with graduate degrees in big data analytics, data science, data analytics, or business analytics.
6. Database administrator
Average annual salary for IN (Glassdoor): ₹7,70,000 [6]
Database administrators (DBAs) use database management systems to organize, maintain, and store corporate data. A DBA’s primary responsibility is to manage the company’s database and decide which employees can access what information. It also protects all your data from unauthorized use. This position plays a vital role in any IT department. The DBA is responsible for creating the data model, separating the business part of data management from the technology and creating a model that can translate terminology.
Database administrators are an integral part of the IT team. As technology rapidly evolves, DBAs are required to manage the large amount of information being generated. Their responsibilities include creating models that help organizations function more effectively and using those models to process data. The scope of other DBA tasks varies by job, but may include one or more of the following:
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Create storage and maintenance procedures
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Design and implement database security procedures
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Software server configuration
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Perform server maintenance
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Create a strategy for backing up and recovering your database
requirements: Database administrators typically have a bachelor’s degree in computer science or information technology. Before you can get your degree, you need to pass 10+2 board exams in subjects like Physics, Mathematics, Chemistry and Computer Science. Some universities require a university entrance exam.
7. Data Engineer
Average annual salary for IN (Glassdoor): ₹11,00,000 [7]
Although data engineers are not directly involved in building AI models, they play a critical role in developing the infrastructure for an organization’s machine learning processes. Data engineers also use data system coding by implementing various learning languages.
Requirements: Typically requires a bachelor’s degree in data engineering, big data analytics, computer engineering, or a related field. A master’s degree is also recommended. For a competitive edge, a secondary certificate can also prove that you have knowledge of data engineering. Database engineers also need in-depth knowledge of analytical software. Structured Query Language (SQL) is the tool that DBAs use to manipulate data, so proficiency in this programming language is essential.
Machine learning job outlook
The field of machine learning is becoming one of the most popular fields of employment. As the need for qualified professionals in this field increases, so does the demand for skilled candidates. Companies are looking for candidates with digital skills who work well in a data-driven culture. India’s AI market is estimated to reach $7.8 billion by 2025 [8].
What skills do machine learning jobs require?
ML is growing and changing rapidly, so it’s important to keep up with technology by constantly improving your job-specific technical and interpersonal skills. Machine learning jobs require a variety of both technical and interpersonal skills.
Technical skills:
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Machine learning algorithm: Have knowledge of supervised learning, unsupervised learning, reinforcement learning, or neural networks, and understand libraries for creating ML models such as TensorFlow and Kera.
Interpersonal skills:
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Effective communication: Having the ability to explain data models to non-technical members of your team helps your business run more efficiently by avoiding problems and keeping everyone on the same page.
Get started with machine learning with Coursera
As technology continues to grow in India, so do opportunities. To get a job in this industry, it is essential to have the necessary skills in machine learning. Develop practical machine learning skills with Machine Learning Specialization, created in collaboration with DeepLearning.AI and Stanford Online. This 3-course program from Coursera provides a broad understanding of the field and is a great place to start building a career in machine learning.
