Human resource solution company team lease digital recently released a report stating that there are 45,000 open positions in this space. artificial intelligence (AI) in India. The report points out that AI is one of the key technologies that are gaining attention as part of India. Initiatives for Critical and Emerging Technologies (iCET) signed last year and is reviewing all the job opportunities this creates.
According to the report, the main job opportunities are retail, healthcare, manufacturing, banking and financial services. health care are looking for roles such as Clinical Data Analyst and Medical Imaging Specialist. Banks and finance are considering roles such as chatbot developers, fraud analysts and credit risk analysts. Manufacturing needs roles such as industrial data scientists, process automation specialists, and predictive maintenance engineers. Retail needs roles like the retail data analyst. IT process modeler.
According to the report, Data Engineers and Machine Learning Engineers can earn around INR 14 crore per year even for fresh graduates, while DevOps Engineers and Data Architects can earn around INR 12 crore per year. By the time the data engineer and machine learning engineer reaches his eighth year in the industry, he can earn up to Rs 40 lakh per year, the company said.
The report notes that India has a talent base of 4 million professionals who know AI, accounting for 16% of the global AI talent base. But he said 80% of Indian engineers do not have the skills to meet employers’ expectations when it comes to hiring AI. And India’s share of global AI investment was just 1.5% in 2022.
Large Talent Pool, Small Investment
AI Revenue in India in 2022 – $12.3 Billion
India’s AI investment is expected to grow at a CAGR of 30.8% to reach $881 million by 2023
India’s share in global AI investment in 2022 – 1.5%
Bangalore has the second largest AI talent pool in the world
Bangalore was ranked 5th in the world in Harvard Business Review’s 2021 Global AI Talent Locations study, based on the country’s evolution of talent pool, talent diversity, investment and digital infrastructure. In New Delhi he was 18th, in Hyderabad he was 19th and in Mumbai he was 27th.
Types of AI
Vision AI
* Generate information from documents, images or videos
* Uses sensors, cameras, neural networks and ML algorithms
*Applications include face recognition, object recognition, etc.
Conversational AI
* Voice-based and text-based conversations possible
* Instantly generate information
* Applications are chatbots, virtual assistants, etc.
Sense AI
* Extract information from human emotions – facial expressions, speech
* Collect and analyze data using sensors and hardware
* Applications include wearables, smart home devices, etc.
decision-making AI
* Accurate decision making using ML and optimization algorithms
* Human-like reasoning and prediction abilities
*Applications are supply chain management, healthcare, etc.
Basic AI skills in demand
DB query language
scripting
deep learning
Natural Language Processing (NLP)
reinforcement learning
Predictive analytics
robotics
neural network
cloud computing
Data visualization
computer vision
predictive modeling
statistics
New student role
software engineering
data analyst
application developer
business analyst
Statistical or Quantitative Analyst
Operations Research Analyst
Roles for Experienced
machine learning scientist
NLP engineer
machine learning engineer
Image processing engineer
data scientist
Source: Team Lease Digital
According to the report, the main job opportunities are retail, healthcare, manufacturing, banking and financial services. health care are looking for roles such as Clinical Data Analyst and Medical Imaging Specialist. Banks and finance are considering roles such as chatbot developers, fraud analysts and credit risk analysts. Manufacturing needs roles such as industrial data scientists, process automation specialists, and predictive maintenance engineers. Retail needs roles like the retail data analyst. IT process modeler.
According to the report, Data Engineers and Machine Learning Engineers can earn around INR 14 crore per year even for fresh graduates, while DevOps Engineers and Data Architects can earn around INR 12 crore per year. By the time the data engineer and machine learning engineer reaches his eighth year in the industry, he can earn up to Rs 40 lakh per year, the company said.
The report notes that India has a talent base of 4 million professionals who know AI, accounting for 16% of the global AI talent base. But he said 80% of Indian engineers do not have the skills to meet employers’ expectations when it comes to hiring AI. And India’s share of global AI investment was just 1.5% in 2022.
Large Talent Pool, Small Investment
AI Revenue in India in 2022 – $12.3 Billion
India’s AI investment is expected to grow at a CAGR of 30.8% to reach $881 million by 2023
India’s share in global AI investment in 2022 – 1.5%
Bangalore has the second largest AI talent pool in the world
Bangalore was ranked 5th in the world in Harvard Business Review’s 2021 Global AI Talent Locations study, based on the country’s evolution of talent pool, talent diversity, investment and digital infrastructure. In New Delhi he was 18th, in Hyderabad he was 19th and in Mumbai he was 27th.
Types of AI
Vision AI
* Generate information from documents, images or videos
* Uses sensors, cameras, neural networks and ML algorithms
*Applications include face recognition, object recognition, etc.
Conversational AI
* Voice-based and text-based conversations possible
* Instantly generate information
* Applications are chatbots, virtual assistants, etc.
Sense AI
* Extract information from human emotions – facial expressions, speech
* Collect and analyze data using sensors and hardware
* Applications include wearables, smart home devices, etc.
decision-making AI
* Accurate decision making using ML and optimization algorithms
* Human-like reasoning and prediction abilities
*Applications are supply chain management, healthcare, etc.
Basic AI skills in demand
DB query language
scripting
deep learning
Natural Language Processing (NLP)
reinforcement learning
Predictive analytics
robotics
neural network
cloud computing
Data visualization
computer vision
predictive modeling
statistics
New student role
software engineering
data analyst
application developer
business analyst
Statistical or Quantitative Analyst
Operations Research Analyst
Roles for Experienced
machine learning scientist
NLP engineer
machine learning engineer
Image processing engineer
data scientist
Source: Team Lease Digital
