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Prepare for the career of the future
Get all your questions answered about AI
Learn about career growth in AI
We all know that Artificial Intelligence or AI is the way forward for most technologies of the future. Most of the everyday technologies we use today have AI embedded in them like
This list is getting longer with each and every passing day. Artificial Intelligence is a top trending technology right now and it is making its presence felt across the globe. The demand for skilled professionals in this industry is huge. It is obvious that our lives are going to be touched by AI in numerous ways, so having a good knowledge of AI is not just smart-thinking but essential as well.
The scope of AI in India is pretty significant as the ultimate aim is to create computer programs that can tackle different problems and provide goal-oriented solutions efficiently. Thus, there is a scope for computer vision, game development, speech recognition, robThe Artificial Intelligence jobs scenario in India.
Globally, there is very little AI-based innovation for the social sector and India has a huge scope to be world-leaders here. That’s indeed the overarching vision in the first major blueprint on AI that was released this month—a discussion paper from government think-tank NITI Aayog, titled National Strategy for Artificial Intelligence.
The priorities are as evident as they can be. India’s agriculture is inefficient, as can be inferred from the fact that it employs just a little under 50% of the total population but contributes only around 18% to the GDP.
Artificial Intelligence is like the new age wheel or fire, which can revolutionize the entire landscape of Industries. It has the potential to transform every sector as and when needed. From something as basic to Agriculture to Healthcare and Defense, it has the potential to do it all.
Artificial Intelligence is reshaping the global economy in an enormous way. A PwC report says that Global GDP will be 14% higher in 2030 as a result of AI. The Government of India has just realized the importance of AI and has established a Task Force on Artificial Intelligence.
Since India currently has a large scope in improving its efficiency, AI will be the much needed tool to make that happen. AI will help augment and enhance human interactions.
At present, the average paycheck for AI and ML engineers in India start from Rs 10 lakh per annum and the maximum cap often crosses Rs 50 lakh per annum.
In recent years, career opportunities in artificial intelligence (AI) have grown exponentially to meet the rising demand of digitally transformed industries. But while there are ample jobs available in AI, there’s a huge shortage of top talent with the essential skills.
The Artificial Intelligence Industry in India is currently estimated to be US$ 230 million (annual) in terms of revenue, up from US$180 million a year ago. The number of companies setting up dedicated AI teams in India is growing by 30% annually.
AI is already an essential part of companies in sectors like IT, BFSI, healthcare, FinTech, and e-commerce; which makes this the right time to enter the field. IT and BFSI leaders like IBM, Infosys, Fidelity Investments, SAP Labs India & JP Morgan Chase are increasingly looking for people with the right AI skills. The AI job roles offered by these kinds of companies are Data Scientist, AI Researcher, Data Analyst, Data Engineer, and ML Engineer.
The median salary of AI professionals in India is INR 14.3 lakhs across all experience levels. Around 4% of AI professionals in India command a salary higher than Rs 50 lakhs, reflecting the massive demand for mid and senior-level AI talent in the country.
Candidates interested in pursuing jobs in the AI field require specific education based on foundations of math, technology, logic, and engineering perspectives. Written and verbal communication skills are also important to convey how AI tools and services are effectively employed within industry settings.
As a Fresher you will need a Bachelor’s degree in the following subjects:
Technical Skills
Non-Technical Skills
Positions entailing supervision, leadership or administrative roles frequently require master’s or doctoral degrees.
Some of the best ways to boost your career options in AI
● Personal Projects solving simple use cases
● Participate and Follow Hackathons
● Participate in Coding Challenges
● Open Source Projects via internships
As you jump right into learning Artificial Intelligence, make sure you have considered the question “what should I learn in Artificial Intelligence?” before “where shall I learn Artificial Intelligence?” You have two choices:
1) Online self-learning platforms: If you can spend a few focused hours per day for months and are ready to get hands-on with learning complex subjects, only then can you move on to on-line courses. A note of caution : Be careful about not feeding your mind with piles of information which could be irrelevant in the market.
2) Formal education: Nothing can beat quality education from a premium institute. AI education is becoming more structured and industry-oriented with the promise of placement as a very important component of the course. You have to make sure that you entrust your AI career path into safe and trusted hands.
This is where the Artificial Intelligence Program by IBM in association with Netalla Innovations Pvt. Ltd., plays a very important role in your learning curve.
As it is an offline and online program, you will get the flexibility of managing your other important routine tasks simultaneously. It does not matter if you are a student or a working professional, you can get started with your career in one of the booming sectors in technology, Artificial Intelligence.
Machine Learning Engineer
Machine learning engineers are advanced programmers who develop artificial intelligence systems that can learn from data sets and apply what they learn. These professionals work with vast data sets and perform advanced programming. The average salary for a machine learning engineer is $142,859 per year. Glassdoor puts the average salary for the same position at $121,833 per year.
Deep Learning Engineer
Deep learning engineers use deep learning platforms to develop programming systems that mimic brain functions. For this purpose, they develop neural networks, which are data structures that simulate the structure of the human brain. Deep learning engineers are key players in three rapidly growing fields: autonomous driving, facial recognition and robotics. Indeed states: “The average salary for “deep learning” ranges from approximately $75,676 per year.”
Senior Data Scientist
The senior data scientist plays a managerial role where he/she oversees the work of junior data analysts. The Senior Data Scientist also has an analytical role — researching, designing, implementing, and deploying full-stack scalable data analytics visions and machine learning solutions to challenging business issues. According to PayScale, the average pay for a Senior Data Scientist is $126,398 per year.
Computer Vision Engineer
Computer vision technology can be defined as an interdisciplinary field of science dealing with how computers can be programmed to achieve a higher level of understanding through the processing of digital images or videos. Computer vision engineers earn an average wage at $126,400 per year
Data Scientist
Data scientists are highly sought-after and well-paid. The average salary for a data scientist is $134,346 per year according to Indeed. Glassdoor puts data scientists at the top of their list of best tech jobs for 2019 at a base salary of $180,000 per year.
Algorithm Developer
Our technological world is run by algorithms. Algorithms are the computer programs that prioritize Google results, they suggest recommendations on Netflix and they select and execute trades in microseconds. PayScale puts the average salary for an algorithm developer at $121,500 per year while Indeed ranks an algorithm engineer as receiving the fifth highest tech salary at $109,313 per year.
Junior Data Scientist
A junior data scientists’ work is guided and critiqued by senior data scientists in the same company.The average junior data scientist’s salary in the United States is $81,527 per year.
Developer Consultant
Developer consultants provide expert technical advice and guidance to software engineers after consultation with clients. These projects are usually developed to solve business problems. The national average salary for a software development consultant is $80,018 per year in the United States, according to Glassdoor.
Director of Data Science
Being responsible for the entire data science team, including the junior and senior data scientists and data engineers, the director of data science commands a high salary. As per Indeed the average salary for a director of data science is stated as $173,478 per year.
Lead Data Scientist
Lead data scientists are in charge of a technical team of data scientists, helps to plan data projects and build analytic systems and predictive models. Lead data scientist salaries on Glassdoor can range from $156,247 to $193,384 per year. When factoring in bonuses and additional compensation, this position can command an average total pay of $177,837.
As the demand for AI and machine learning has increased, organizations require professionals with in-and-out knowledge of these growing technologies coupled with hands-on experience.
Keeping this very niche need in mind, Netalla Innovations Pvt. Ltd. has launched the AI Center of Excellence and AI Training Center in collaboration with IBM that will help you gain expertise in various industry skills and technologies starting from Python, NLP, speech recognition up to advanced deep learning.
This training program will help you stand out in the crowd and grow your career in thriving fields like AI, machine learning and deep learning.
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