Top 7 Careers for AI Professionals

Categorical Data for Data Analytics

Are you exploring the dynamic world of artificial intelligence (AI) and wondering about the career paths it offers?

AI is a field that's reshaping what our future looks like. It is creating a need for a new kind of professional expertise. These emerging AI roles are different, combining creative thinking, problem-solving, and technical skills. It's an exciting time for both tech veterans and newcomers to delve into these opportunities. Understanding these roles is crucial for anyone aiming to become AI leader.

Let's explore the top seven career options for AI enthusiasts. Each role is integral to the growth and application of AI, from inventing new technologies to solving real-world problems. For those starting their career journey or looking to switch paths, these roles offer insights into the evolving landscape of AI careers.

Why Do You Need a Career in AI?

Before we dive into the multiple career options, let’s first understand the reason why you should even consider a job in this field. 

A career in Artificial Intelligence (AI) offers a dynamic and impactful path, with AI roles growing significantly. AI is set to create millions of new jobs by 2025 (4.5 million jobs only in India!). This field is integral across various industries, from healthcare to space exploration, creating a high demand for AI professionals. 

AI professionals are highly sought after in recent times where everything is dependent on AI. Their salaries are generally more than $100,000 annually. These AI leaders have gradually developed specialised skills and added immense value to any business they were a part of. The AI field is diverse, offering many career paths. As a professional, seasoned, or fresher, you have the opportunity to work and gain experience in various industries as a freelancer, consultant, or full-time employee. A career in AI means being part of an exciting, evolving field. You'll contribute to new technologies and make a big impact on society.

Top 7 Careers for AI Professionals

AI Research Scientist

AI Research Scientists are people who specialise in various sectors of AI. To become one, you should do well in machine learning, applied math, and computational statistics. If you want to be an AI research analyst, you also need expertise in deep learning, reinforcement learning, graphical models, computer perception, understanding natural language, and handling data. 

The average salary of an AI Research Scientist is INR 11,35,923 annually. 

Machine Learning Engineer

As a Machine Learning Engineer, you focus on developing AI models and systems that learn and improve on their own. Key skills include software development, using predictive models, and handling natural language processing with large data sets. A solid background in computer science or mathematics and proficiency in programming languages like Python, Java, and Scala are essential. AI ML training is also a must.

The average salary of a Machine Learning Engineer is INR 12,00,000 annually. 

Data Scientist

As a Data Scientist, your main task involves collecting, examining, and interpreting large datasets. Utilising machine learning and predictive analytics is key in this role. It's important to learn and master machine learning techniques. Additionally, you need to be proficient in Big Data platforms and programming languages like SQL, Python, Scala, and Perl. Most Data Scientists have advanced degrees and deep knowledge in SAS, R, and Python programming. Experience with cloud-based tools is also a key part of their expertise.

The average salary of a Data Scientist is INR 13,90,000 annually. 

Robotics Engineer

As a Robotics Engineer, you design and build robots and machines that respond to human commands. A strong background in robotics, mechanical, electromechanical, or electrical engineering is essential. Skills in advanced math, physics, CAD, fluid dynamics, and materials science are crucial for success in this role. Learn machine learning, too, for better experience and upscaling. 

The average salary of a Robotics Engineer is INR 6,17,111 annually. 

Business Intelligence Developer

Business Intelligence Developers analyse complex data to identify current business and market trends. You must design, model, build, and maintain data for cloud-based data platforms. A bachelor’s degree in computer science, engineering, or a related field is typically required, along with experience in data warehouse design, data mining, and knowledge of BI technologies.

The average salary of a Business Intelligence Developer is INR 7,97,257 annually. 

AI Product Managers

In the position of an AI Product Manager, you oversee the creation and rollout of products and services powered by AI. To ensure that AI solutions correspond with company objectives and consumer demands, you should interact with software engineers and data scientists. It is beneficial to have a background in data science or engineering, as well as knowledge of software development and project management.

The average salary of an AI Product Manager is INR 30,65,721 annually. 

AI Programmer

AI Programmers develop and write the code necessary to implement AI models and applications. You should typically have a strong background in computer science and programming languages such as Python, Java, and C++. Their role involves creating algorithms, developing AI software, and ensuring the integration of AI into various applications and systems.

The average salary of an AI Programmer is INR 30,39,042 annually. 

Key Takeaways

Artificial Intelligence (AI) is full of different and exciting job opportunities. From being an AI Research Scientist to an AI Programmer, these jobs are key in creating new technology and changing many industries. This is an amazing time to become a part of this field. If you're looking to upskill yourself, consider different courses. 

The Executive Programme in AI for Business by IIM Lucknow, offered through Imarticus Learning, is a great way to do this. This program teaches you important AI skills, including machine learning. It's a good step towards becoming an AI leader and professional.

Are you ready to embrace the AI-driven future?

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