Top 10 Artificial Intelligence Jobs in India: A Glimpse at the Opportunities Obtainable

Are you curious about how AI can help you reach your career goals? Do you want to be at the forefront of this emerging technology? If so, it’s time to explore India’s ten most demanding artificial intelligence jobs. We will discuss the salary and the requirements for the specific job profile.

But before we start with jobs, do you know the market estimate for 2028 in AI? Well, continue reading. There are more job options now than ever before as machine learning and artificial intelligence continue to grow. The estimated value of the worldwide AI market in 2021 was over $ 59.67 billion, and by 2028, it is expected to have grown at a CAGR of 39.4% to reach roughly $ 422.37 billion.

The 10 Most Artificial Intelligence Jobs Opportunities in India

Artificial Intelligence is a rapidly growing field in India, with many job opportunities opening up in the industry. With the advancements of AI technology and its increasing presence in every sector, numerous exciting roles are available for those looking to pursue a career in this field.

It includes various technologies, from machine learning and natural language processing to robotics and intelligent agents. Moreover, the world is now filled with AI-powered devices, from self-driving cars to virtual assistants. At the latest Chat GPT is one of the most buzzing AI inventions and in India in fact worldwide, this new invention has taken the AI industry to the next level. So let’s look at opportunities that are knocking on your doors. 

• AI Developer

They are responsible for building and deploying artificial intelligence systems. They need to have an in-depth understanding of algorithms, programming languages such as Python and R, machine learning models, deep learning frameworks like TensorFlow or PyTorch, and the ability to develop user interfaces. 

Salaries for AI developers vary based on experience but can range from 7-8 lakhs per year, according to AmbitionBox.

Requirements to become an AI developer

A degree in computer engineering or a related field emphasising AI. Knowledge of various programming languages (Python, R etc.), experience with software development and machine learning models.

• Data Scientist

Data scientists are responsible for extracting actionable insights from large datasets. They must analyse complex data sets, build models to forecast future trends and outcomes, and make predictions based on those models. Data scientists need strong analytical skills and a keen eye for detail to find meaningful patterns within the data.

The average salary for data scientists can range from 10-11 lakhs per year, according to AmbitionBox.

Requirements to become a Data Scientist

A degree in mathematics, computer science or a related field is required for this role. Strong skills in various programming languages (Python, R etc.) and experience with statistical software packages such as SAS or SPSS are also essential for this role.

• Research Scientist

Research Scientists are responsible for researching and developing new artificial intelligence technologies. They need to have a strong understanding of machine learning, natural language processing, computer vision and related fields. Research scientists must also be able to analyse data sets, develop algorithms, and evaluate the results of their work.

The average salary for research scientists can range from 7-9 lakhs per year, according to AmbitionBox.

Requirements to become a Research Scientist

A Master’s or PhD degree in computer science or artificial intelligence is usually required for this role. Also, knowledge of programming languages such as Python or R and expertise in machine learning algorithms are also essential for this position. Experience with large datasets and deep learning frameworks like TensorFlow is also beneficial for research scientist roles.

• Machine Learning Engineer

Machine learning engineers build machine learning models and deploy them in production. They need to have a strong understanding of algorithms and the ability to develop efficient solutions for complex problems.

The average salary for Machine Learning Engineers can range from 7-8 lakhs per year, according to AmbitionBox.

Requirements to become a Machine Learning Engineer

A degree in computer science or a related field with an emphasis on AI or machine learning is usually required for this role. Knowledge of programming languages such as Python, R etc., experience with software development and machine learning models and experience with deep learning frameworks such as TensorFlow and PyTorch is also beneficial.

• Natural Language Processing (NLP) Engineer

NLP engineers work on developing natural language processing systems and algorithms. They must understand the underlying principles of natural language and be able to apply them in various applications such as chatbots or text-to-speech services. NLP engineers need to understand machine learning algorithms, deep learning models, and natural language processing tools such as NLTK or spaCy.

The average salary for Natural Language Processing (NLP) Engineers can range from 7-8 lakhs per year, according to AmbitionBox.

Requirements to become an NLP Engineer

A degree in computer science or a related field with an emphasis on AI or machine learning is usually required for this role—additionally, knowledge of programming languages such as Python.

• Robotics Process Automation (RPA) Specialist

Robotics Process Automation (RPA) Specialists are responsible for developing and deploying robotic process automation (RPA) solutions. They need to understand RPA technology well, its best practices, and how to use it to streamline business processes. RPA specialists must also be able to write scripts, implement security protocols, and troubleshoot software issues.

The average salary for Robotics Process Automation (RPA) specialists can range from 5-7 lakhs per year, according to AmbitionBox.

Requirements to become an RPA Specialist

A degree in computer science or a related field is usually required for this role. Additionally, knowledge of programming languages such as JavaScript, as well as experience with RPA tools such as UiPath, Blue Prism, etc., is also essential for this position. Additionally, experience with workflow automation and data analysis is helpful for RPA specialists.

Also Read:  Make a Career in Artificial Intelligence (AI) 

• Solutions Architects

One of the lucrative artificial intelligence jobs is solution architects. They are responsible for designing and building AI-based solutions that meet the needs of their clients. They need to deeply understand machine learning algorithms and how they can be used in various applications. Solutions architects must also be able to develop prototypes, debug software issues, and manage complex projects.

The average salary for Solutions Architects can range from 17-19 lakhs per year, according to AmbitionBox.

Requirements to become a Solutions Architect

Computer science or artificial intelligence degree are usually required for this role. Additionally, knowledge of programming languages such as R or Python and expertise in machine learning algorithms are also essential.

• Computer Vision Engineer

Computer Vision Engineers are responsible for developing and deploying computer vision systems. They need to understand computer vision technology, its best practices, and how to use it in various applications such as object recognition or scanning images. Computer Vision Engineers must also be able to write scripts, debug software issues, and troubleshoot system errors.

The average salary for Computer Vision Engineers can range from 7-8 lakhs per year, according to AmbitionBox.

Requirements to become a Computer Vision Engineer

A degree in Computer Science or a related field with an emphasis on AI or machine learning is usually required for this role. Additionally, knowledge of programming languages such as C++ or Java, as well as experience with computer vision tools such as OpenCV and TensorFlow, is also essential for this role. Additionally, experience with image processing algorithms and deep learning models is helpful for computer vision engineers. 

• Business Intelligence Developer

BI Developers have the responsibility for designing and developing AI-driven data solutions. They need to understand business intelligence technology, its best practices, and how to use it to create meaningful insights from data. Business intelligence developers must also be able to write database queries, debug software issues, and troubleshoot system errors.

According to AmbitionBox average salary for Business, Intelligence Developers can range from 6-8 lakhs per year.

Requirements to become a Business Intelligence Developer

A degree in computer science or a related field with an emphasis on AI or machine learning is usually required for this role. Knowledge of programming languages such as Python or SQL and experience with business intelligence tools such as Tableau or Power BI are also essential for this role.

• AI Product Manager

One of the highest artificial intelligence jobs roles is AI product manager. AI Product Managers are responsible for overseeing the development of AI products. They need to understand product management, its best practices, and how to use AI technology in various applications. AI product managers must also be able to manage teams, debug software issues, and collaborate with stakeholders.

The average salary for AI product managers can range from 16-18 lakhs per year, according to AmbitionBox.

Requirements to become an AI Product Manager

A degree in Computer Science or a related field with an emphasis on artificial intelligence is usually required for this role. Plus, knowledge of programming languages such as Python or R and expertise in AI and machine learning algorithms is also essential for this position. Additionally, experience with product management, agile methodology, and customer relations is helpful for AI product managers.

Conclusion

Artificial intelligence is an intensively growing field with various job roles for those interested in pursuing it. According to a global survey by Mckinsey, ”The State of AI in 2021”, 57% of respondents from emerging economies reported adopting AI, and the adoption rate was highest at Indian companies.

The requirements to become an AI professional vary depending on the position. Generally, they include knowledge of programming languages, experience with artificial intelligence and machine learning algorithms, and expertise in various tools and applications. Well, if you are looking to change your career, or upskill your AI expertise, then you must take up AI and ML courses. You don’t have to look further as Emeritus offers such online courses to aspirants who want to take their career to the next level.

There are various online courses hosted by Emeritus in collaboration with world top universities and institutions like IIM, IIT, and more. With the right skill set enhancement and guidance from industry experts, you will manage to enter the world of AI confidently and end up earning lucrative artificial intelligence jobs.