Reshaping The Global Economy
Artificial Intelligence & Machine learning is a top trending technology right now which is making its presence across the globe. The demand for skilled professionals in this industry is huge.The number of companies setting up dedicated AI & ML teams in India is growing by 30% annually.
Netalla Innovation Highlights
Netalla's AI & ML Training
Netalla Innovations pvt. Ltd. has launched the AI Center of Excellence and AI Training in collaboration with IBM that will help you gain expertise in various industry skills and technologies from Python, NLP, speech recognition, to advanced deep learning. This training program will help you stand in the crowd and grow your career in thriving fields like AI, machine learning and deep learning.
As part of AI training we provide you the following courses too :
1. Python and Apache Spark
2. SQL for Big Data Analysis
3. Data Engineering Bootcamp
4. Big Data Lab
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 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 median salary of AI professionals in India is INR 14.3 lakhs across all experience levels. There are amply of jobs available in AI, there’s a momentous shortage of top talent with the essential skills.
As a Fresher you must have the specific education based on foundations of math, technology, logic, and engineering perspectives and also written and verbal communication skill.
Bachelor’s degree required :
1. Computer Science
2. Information Technology
3. Mathematics and Statistics
Technical Skills required :
1. Programming languages like R, Python, Java, and C++
2. Statistics, Linear Algebra and Calculus
3. Natural Language Processing
4. Neural Network Architectures
1. Industry knowledge
2. Communication Skills
3. Critical Thinking
4. Written and verbal communication skill
1. Understand the AI career landscape
2. Research, list popular job roles in AI and evaluate which suits you best
3. Understand the requisite skills to pursue your chosen job role
4. Set yourself on a comprehensive learning path that helps you learn through practice
5. Personal Projects
7. Coding Challenges
8. Open Source Projects
9. Start the job search to land your dream job
You have 2 choice:
1. Online self-learning platform: If you can spend a few focused hours per day for months and ready to get your hands-on with learning complex subjects – then only you go for on-line courses. Caution is that most people end up feeding their mind with piles of information which could be irrelevant in the market.
2. Formal education: Nothing can beat quality education from some premium institute.
That being said, 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, robotics, and language detection. India can lead here AI innovation for the social sector. 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 and the number of companies in India is growing by 30% annually. India’s agriculture is weirdly inefficient, as it employs just a little under 50% of the total population but contributes only around 18% to the GDP. AI 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.
1. 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.
2. 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. Under the topic “Deep learning salaries”, Indeed states: “The average salary for “deep learning” ranges from approximately $75,676 per year.”
3. 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.
4. Computer vision engineer:
Computer vision engineers earn the third highest AI salary with the average wage at $126,400 per year. 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.
5. 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.
6. Algorithm developer:
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. 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.
7. Junior data scientist:
The average junior data scientist’s salary in the United States is $81,527 per year. A junior data scientists’ work is guided and critiqued by senior data scientists in the same company.
8. 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.
9. 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. The average pay for a Data Science Director is $160,611 per year. On Indeed the average salary for a director of data science is stated as $173,478 per year.
10. 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.
Artificial Intelligence is reshaping the global economy. PwC report says that Global GDP will be 14% higher in 2030 as a result of AI. India just woke up to this AI and established a Task Force on Artificial Intelligence. India currently is in a highly inefficient state, and for the next decade or so, AI will help us get efficient. AI has not reached a level where it can replace the comfort of human presence, and Indians demand human touch in everything.
At present, the average paycheck sizes of AI and ML engineers in India start from Rs 10 lakh per annum and the maximum cap often crosses Rs 50 lakh per annum.