Explore Courses
Top University
Elina
17 May, 2024
Table of Contents
Artificial Intelligence (AI) is one of the most fascinating disciplines in today’s world of fast-expanding technology. AI is about building intelligent computer systems capable of carrying out activities that usually require human intelligence. The possibilities for employment in AI are expanding along with the technology.
Artificial intelligence is having an impact on a wide range of businesses worldwide. In one of its studies, even Forbes forecasts that job positions will rise at a rate of more than 70%. Tech professionals are being forced to predict potential job roles to accelerate their career graph. Moreover, because it is now feasible to comprehend the needs of current users, this growth pace has enabled the AI industry to seize excellent global income streams. Subsequently, the companies would provide hardware or software services to the indicated specifications.
However, with the advent of AI in the market, how to upskill yourself?What are the prominent job roles in AI in 2024? Lets answer these questions through this informative blog.
Artificial Intelligence (AI) is a branch of computer science. It deals with expert systems, natural language processing, speech recognition, and machine vision. AI is the study of machines that are capable of thinking, seeing, learning, solving problems, and making decisions. Artificial intelligence is the ability of machines, particularly computer systems, to mimic human intellectual processes. Large volumes of labelled training data are processed by AI systems, which then look for correlations and patterns in the data that can be utilised to forecast future states. Artificial intelligence is crucial because it can bring previously undiscovered insights into businesses’ operations. Furthermore, AI can perform tasks more effectively than humans in specific situations.
Are you curious to know why a career in artificial intelligence is fruitful? Let’s discuss this now.
The critical part that AI technology plays in the digital transformation of many industries is significantly increasing the number of job opportunities in the field. Grandview Research projects that the size of the worldwide artificial intelligence industry will increase between 2023 and 2030 at a compound annual growth rate (CAGR) of 37.3%. By 2030, it is anticipated to reach $1.8 billion. AI competence is becoming a valued asset in the job market due to this rise, which is also changing old roles and opening up new career prospects. Therefore, building a career in AI by upskilling yourself is the need of the hour.
Now, if you have read what artificial intelligence is and how it positively impacts the future, do you want to know how to start a career in AI? It does not require any specialised degree. You just need to decide on a potential career path. Be sure to research the necessary certifications to apply for that specific position. The decision will ultimately be yours whether you advance after earning credentials or throughout your employment.
Check the points below to learn more about how to start a career in AI.
Learn the Basics: To begin, ensure you have a firm understanding of the basic ideas behind artificial intelligence, including machine learning, neural networks, and algorithms. A wide range of books, tutorials, and online courses are available to get you started.
Build Projects: Put your knowledge to use by working on AI projects like developing natural language processing software, picture recognition systems, or predictive models. Putting together a portfolio of your work helps show prospective employers how knowledgeable you are.
Stay Updated: Since the field of artificial intelligence is always changing, it’s critical to keep up with the newest developments in science, technology, and trends. To keep informed and connected, join online networks, go to conferences, and read blogs about AI.
Certifications: Look for online certifications. Nowadays, many online platforms provide online certifications in AI technology.
Get Experience: To obtain practical AI experience, look for research initiatives, internships, or freelancing options. Gaining practical experience will enable you to expand your professional network and enhance your skill set.
Network: Attend events, use LinkedIn, and join professional associations to make connections with experts in the AI field. Developing contacts with people in the business can open doors to opportunities and employment.
The demand for AI is rising and many job roles need specialisation. Let’s explore some of the relevant job roles in the market.
Data Scientist is one of the top-notch jobs in the AI sector. It analyses data to extract insights and make predictions. Some job descriptions include high demand across industries for data-driven decision-making and innovation. In addition to all of this, they are at ease with formal or informal SQL, Scala, or Python programming codes, which helps them to effectively simplify the complexity of the AI jobs that their team leaders or senior managers assign them. The average and highest salary of a Data Scientist is INR 10 LPA and 18 LPA respectively.
A data analyst is a person who examines data to identify trends and patterns. Further AI trends include increased demand for data analysis skills in diverse fields such as finance, marketing, and healthcare. It is one of the significant job roles in the AI sector. The AI data analyst uses statistical techniques and tools to work with the data and extrapolate conclusions. A bachelor’s degree in computer science or mathematics is required to work as an AI data analyst. They also need to be well conversant with Microsoft Excel. The average and highest salary of a Data Analyst is INR 8 LPA and 16 LPA respectively.
Artificial Intelligence (AI) Engineer is a tough job in AI. However, the job has rewarding prospects. AI engineers design and develop AI systems and applications. Prospects include advancing AI technology in areas like autonomous vehicles, healthcare, and smart cities. The coding needed to create scalable data sharing is the responsibility of AI engineers. Rather, data is sourced and extracted from several sources by artificial intelligence developers, who also design, develop, and evaluate machine learning models before using embedded code or application program interface (API) calls to construct and execute AI applications. The average and highest salary of an AI Engineer is INR 10 LPA and 16 LPA respectively.
A prominent data engineer is highly skilled at creating and managing big data architectures that produce results that align with business objectives. In the current market, these engineers are reported to be obtaining amazing pay and benefits. It is required of big data engineers to be proficient in C++, Java, Python, or Scala programming. Additionally, they must have prior experience with data migration, data mining, and data visualisation. With an average pay of INR 12 LPA, big data engineers are among the highest-paid positions in artificial intelligence. However, your average pay may differ depending on the industry. The highest salaries are 20 LPA.
An NLP engineer is an AI job specialising in natural language processing technology. The need for NLP scientists has increased as companies use technology to improve customer service and engagement. These specialists contribute to advancing systems that need machines to comprehend and speak human language. An NLP engineer would require expertise in modelling, data structures, sentiment analysis, n-grams, a bag of words, semantic extraction techniques, and general statistical analysis in addition to computational abilities. It could assist if you have any experience with Python, ElasticSearch, web development, etc. An NLP engineer typically makes 9 LPA, but with expertise, that compensation can rise to over 18 LPA.
The role of Product Managers is diverse in various industries. It is an industry-dependent role. A product manager oversees the creation and release of products driven by AI. Opportunities to influence the course of AI innovation in consumer electronics, healthcare, and education are among the future potential. To aid in interpretation, obtaining publicly available data is the first of their main tasks. After it is finished, the employee in this position will need to assess how the data is influencing the company and make adjustments as necessary. In addition to having a nice compensation, this is one of the AI careers with the highest pay. The average salary is INR 9 LPA and the highest is INR 16 LPA.
Scrum Master is a job role in AI and the lead job in the field of AI. It facilitates agile software development processes and includes agile methodologies and scrum principles. Some prospects include increased adoption of agile methods in AI projects for faster innovation and collaboration. A scrum is led by a scrum master. Agile, self-organising, cross-functional teams hold daily scrums to discuss the team’s work, discuss progress, and make plans for the next days. While some teams have a single Scrum master, others rotate the role such that different team members take it on different days. The average and highest salary of a Scrum Master is INR 10 LPA and 16 LPA respectively.
Software Architects are responsible for maintaining technical standards, platform design, and systems. They design and manage AI architectures, organise and implement solutions, select the appropriate toolkit, and guarantee efficient data flow. Software architects are expected to hold a bachelor’s degree in computer science, information systems, or software engineering from AI-driven businesses. Experience is just as vital in a practical function as education. You will be well-served by having practical expertise with cloud platforms, data processing, software development, statistical analysis, etc. The average and highest salary of a Software Architect is INR 9 LPA and 17 LPA respectively.
A Machine Learning Engineer is an AI job role responsible for developing machine learning algorithms and models. Its prospects include integrating AI and machine learning into everyday products and services for enhanced personalisation and automation. The ideal candidates for machine learning engineer positions are those with backgrounds in software engineering, data science, and applied research. Strong mathematical abilities, familiarity with machine learning, deep learning, neural networks, and cloud applications, as well as proficiency with Java, Python, and Scala programming are required for AI positions. The average pay for a Machine Learning Engineer is around INR 8 LPA in India and it can go high till 19 LPA.
Due to advancements in artificial intelligence, robotics engineers are in greater demand than ever to design and construct machines that can carry out jobs that traditionally require human intellect. This is especially true in sectors like manufacturing, where automation is being used widely. AI-powered robots are created and maintained by robotics engineers. Organisations usually require graduate degrees in computer science, engineering, or a related field for such employment. Robotics engineers may also be required to know CAD/CAM, 2D/3D vision systems, the Internet of Things (IoT), and machine learning and artificial intelligence. The typical pay for a robotics engineer is INR 9 LPA, but with specialisation and experience, this can rise to an average of INR 22 LPA.
Artificial Intelligence (AI) offers exciting job opportunities for those interested in technology, data, and problem-solving. Whether your interest is creating intelligent systems, data analysis, research, or policy formation, there is a place for you in the AI ecosystem. By acquiring the required skills, obtaining real-world experience, and being informed, you can start on a fulfilling professional path in AI and contribute to the advancement of technology and innovation.
To thrive in the fast-paced realm of artificial intelligence, it’s crucial to stay abreast of the latest advancements and trends. By honing your knowledge and skills in one or more of the high-demand career roles, you can position yourself for success. So, why wait? Take the first step towards an AI career today, and explore the dynamic and rapidly evolving industry where your passion and skills can take you.
