In this friendly article, you will discover various job roles in the field of artificial intelligence (AI). The video that is discussed in the article highlights career opportunities in AI for the year 2023. It provides information on job roles such as Robotic Engineer, Product Manager, Data Scientist, AI Data Analyst, Business Intelligence Engineer, Machine Learning Engineer, Data Architect, and AI Engineer. The article also touches upon the prerequisites for each job role, job opportunities, and salaries. Some top companies in the industry that are hiring for these roles are Amazon, Tesla, IBM, Google, JP Morgan, and Deloitte. The article emphasizes the growing demand for AI professionals and the potential for high salaries, and it concludes by promoting Simplilearn’s Post Graduate Program in AI and Machine Learning.

Job Roles in AI

Robotic Engineer

A Robotic Engineer is responsible for designing, building, and testing machines and their accompanying software. They focus on creating prototypes and finding the most cost-effective and secure ways to develop robotic systems. To become a Robotic Engineer, you will need a bachelor’s degree in computer science and additional training or certification in automation. With over 9,000 job openings in India and 8,000 job openings in the US, there is a high demand for Robotic Engineers. Top companies such as Amazon, Bosch, and Flybase are actively hiring for this role, offering salaries as high as $160,000 in the US and ₹27 lakhs in India.

Product Manager

A Product Manager is responsible for understanding user requirements, conducting market research, and creating a product’s vision. They play a crucial role in the development and success of a product. To become a Product Manager, you will need basic experience of 2-3 years in the field of product and software development. Currently, there are over 2,000 job openings in India and 20,000 job vacancies in the US for Product Managers. Top companies like Tesla, Amazon, TCS, Sprinklr, and Cognizant are hiring for this role, offering salaries as high as $160,000 per year in the US and ₹20 lakhs per annum in India.

Data Scientist

Data Scientists are responsible for extracting knowledge and insights from large amounts of data. They use machine learning and statistical analysis to make sense of the collected data. To become a Data Scientist, you don’t necessarily need a special degree, but you should have knowledge of machine learning, programming languages like Python or Java, and mathematical modeling. With over 17,000 job vacancies in the US and 3,000 job vacancies in India, there is a high demand for Data Scientists. Top companies like Accenture, IBM, Google, JP Morgan, and Deloitte are actively recruiting Data Scientists, offering salaries as high as $200,000 per year in the US and ₹15 lakhs per annum in India.

AI Data Analyst

AI Data Analysts focus on data mining, data cleaning, and data interpretation. They use statistical tools and techniques to extract meaningful insights from data. To become an AI Data Analyst, you will need a bachelor’s degree in computer science or mathematics. There are currently over 700 job openings in the US and 16,000 job vacancies in India for AI Data Analysts. Companies like Accenture, IBM, Wipro, and TCS are actively recruiting for this role, offering salaries as high as $100,000 per year in the US and ₹8.5 lakhs per annum in India.

Business Intelligence Engineer

Business Intelligence Engineers evaluate complex data sets to identify business trends and boost a company’s earnings. They create and sustain business intelligence solutions by considering both business and AI aspects. To become a Business Intelligence Engineer, you need a bachelor’s degree in mathematics and computer science. There are over 8,000 job vacancies in India and 5,000 job vacancies in the US for Business Intelligence Engineers. Companies like Amazon Development Center, IBM, and AWS are hiring for this role, offering salaries as high as $100,000 per year in the US and ₹15 lakhs per annum in India.

Machine Learning Engineer

Machine Learning Engineers play a crucial role in developing and implementing machine learning models. They handle large amounts of data and use their expertise in data management and programming to build accurate models. A master’s degree in computer science or mathematics is highly preferred for this role. With over 13,000 job vacancies in the US and 27,000 job vacancies in India, there is a high demand for Machine Learning Engineers. Companies like Mathworks, Google, Amazon, Microsoft Azure, and IBM are actively hiring for this role, offering salaries as high as $150,000 per year in the US and ₹10 lakhs per annum in India.

Data Architect

Data Architects are IT specialists who utilize their knowledge of computer science and database architecture to analyze and optimize an organization’s data infrastructure. To become a Data Architect, you will need a bachelor’s degree in computer science or computer engineering. There are over 52,000 job vacancies in the US and 7,000 job vacancies in India for Data Architects. Companies like Amazon, IBM, Tesla, Intel, and Wipro are actively recruiting for this role, offering salaries as high as $200,000 per year in the US and ₹21 lakhs per annum in India.

AI Engineer

AI Engineers are problem solvers who create, test, and use various artificial intelligence models. They manage AI infrastructure and use their knowledge of neural networks and machine learning methods to develop practical AI models. To become an AI Engineer, you will need a UG or PG degree in the field of AI or computer science, along with certifications from reputed organizations. There are over 35,000 job vacancies in the US and 4,000 job vacancies in India for AI Engineers. Companies like Accenture, TCS, IBM, Google, JP Morgan, Deloitte, and Bank of America are actively hiring for this role, offering salaries as high as $200,000 per year in the US and ₹10 lakhs per annum in India.

Conclusion

As the demand for artificial intelligence professionals continues to grow, there are abundant career opportunities in various AI roles. Whether you are interested in robotics, product management, data science, AI data analysis, business intelligence, machine learning, data architecture, or AI engineering, there are numerous job vacancies available across the globe. Top companies like Amazon, Tesla, IBM, Google, JP Morgan, and Deloitte are actively hiring for these roles, offering high salaries and career growth opportunities. To embark on a successful career in AI, it is essential to acquire the necessary qualifications, skills, and certifications. Simplilearn’s Post Graduate Program in AI and Machine Learning is one such program that offers comprehensive training and various benefits to equip you with the skills needed to excel in the field of AI. With the increasing interest in foreign AI job opportunities and the projected growth of the AI market, now is the perfect time to explore a career in artificial intelligence.