Applications
AI career frontier: Mapping opportunities in the realm of artificial intelligence
Mumbai: Artificial intelligence knowingly or unknowingly is ingrained in every aspect of our lives, right from social media to healthcare to cybersecurity. Most businesses have understood its potential and are willing to invest in AI. Thus, they offer various job opportunities in this field to streamline and improve their business goals. Before we discuss the various job opportunities any further we must understand what is AI? AI is intelligence exhibited by machines that mimic the human thought process. This includes cognitive skills such as learning, problem-solving, communication, planning etc. The pervasive nature of AI has made it ubiquitous in our lives due to qualities such as:
● Efficiency – Businesses have started using AI to automate repetitive tasks to free up their human resource for more creative/innovative work generating higher returns.
● Data Analysis – AI can analyse massive data and uncover insights based on facts rather than intuition.
● 24/7 availability – AI is available round the clock and does not require frequent breaks or sleep.
● Personalisation – AI is capable of creating customised experiences based on the preferences of the user, leading to higher user satisfaction.
AI is a large umbrella term which encompasses fields such as:
● Deep Learning: A sub-field of AI that mimics the neurons in the brain and uses extremely large datasets to solve real-world problems.
● Computer Vision: It deals with making the computer understand the visual world around them. It is used in identifying objects, analysing videos/real-time camera feeds.,
● Machine Learning (ML): A sub-field of AI wherein the algorithms are trained on large datasets to do tasks such as make predictions and analyse patterns without explicitly programming them to do so.
● Natural Language Processing (NLP): A field of AI that deals with understanding human language. This is extensively used in chatbots, voice assistants and sentiment analysis.
● Robotics: It is a field integrating AI, mechanics and electronics. AI plays an important role in robotics by making them autonomous and improving efficiency.
These are just some of the fields within AI. The actual number of fields could be infinite depending on how AI evolves in the future. There are too many unforeseen applications of AI. However, currently, certain fields have a high requirement for AI professionals. These fields are as follows:
● Machine Learning Engineer: They usually work closely with data scientists to understand the problem, and then use their programming and ML algorithms to solve the problem. For that they usually collect the data, clean it, then choose the best-suited model to train it and finally deploy it to solve real-world problems.
● Deep Learning Engineer: They are involved in teaching machines to do tasks by mimicking the neurons of a brain. They have to work with massive amounts of data to solve problems.
● Computer Vision Engineer: These are AI engineers choosing to specialise in Computer vision. These engineers help machines understand the visual world around them by interpreting algorithms that understand digital images. They train computers to do tasks including object detection, image classification, and facial recognition. They work on specific tasks like object detection, image segmentation, and 3D reconstruction.
● Natural Language Processing Engineer: They specialise in natural language processing. They design. They design computer systems that enable computers to understand, interpret and generate language. They primarily work on chatbots and voice assistants. They work on a combined knowledge of computer science, artificial intelligence and linguistics that help humans and machines communicate.
● AI Researcher: They are at the forefront of AI, looking for new algorithms, models, use cases and even the ethical implications of AI on society. They love experimenting with their theoretical knowledge in mathematics and computer science and blending it with their practical programming skills to solve real-world problems.
● Data Scientist: Data scientists focus on creating algorithms and predictive models for data analysts, aiding organisations by developing tailored methods and tools for data extraction and task automation. Interns start by cleaning and preparing data and learning software like SQL, Excel, Python, and R. Those excelling may receive pre-placement offers and become junior data scientists, working closely with seniors and engineers. Progression from junior to senior data scientist involves managing teams and long-term project planning. Data scientists typically earn more than analysts, with analysts often advancing to data scientist roles.
● Robotics Engineer: For the robot to mimic human behaviour, robotics engineers tend to use AI algorithms for it to learn and adapt to the real world just like a human. They are also involved in the design, electronics and mechanical aspects of a robot.
AI projects tend to be multi-disciplinary and involve teamwork. People from varied fields work together to solve a common problem. Therefore, while technical skills in this field are paramount, skills such as good communication, and collaboration are essential. Although jobs in this field tend to be of a technical nature there are some non-technical jobs available. These jobs include those of an AI ethicist, AI soles consultant and AI product manager. Students interested in entering this field should pursue a multi-pronged approach to their study. Formal degrees such as computer science, data science, or related fields should be complemented by personal projects using open-source AI libraries and datasets. These projects will help them showcase their knowledge which they can present to professionals at various networking events such as conferences and hackathons. Such networking events will give them relevant exposure to the current status in the AI job market.
This article has been authored by Tagglabs founder Hariom Seth
Applications
Inshorts Group chief Deepit Purkayastha joins IAB video council for Southeast Asia and India
The co-founder and chief executive of the short-form content platform has been inducted into the IAB SEA+India Video Council, giving India a stronger voice in shaping digital video frameworks
NOIDA: India has long been the world’s most chaotic, multilingual and mobile-first digital market. Now, one of its most prominent short-video executives is getting a seat at the table where the rules are written.
Deepit Purkayastha, co-founder and chief executive of Inshorts Group, has been selected as a member of the IAB SEA+India Video Council for 2026. Run by the Interactive Advertising Bureau, the council brings together senior leaders from Southeast Asia and India to shape standards, best practices and measurement frameworks for the fast-evolving video and digital advertising ecosystem.
The timing is pointed. According to the IAMAI-Kantar Internet in India Report 2025, over 588 million Indians are now consuming short-video content, with growth increasingly driven by rural and non-metro audiences. India’s active internet user base has crossed 950 million, with 57 per cent of users now coming from rural markets. Yet the frameworks that govern how video consumption is measured and monetised were largely designed for single-language, Western markets and have struggled to keep pace with the scale, diversity and complexity of India’s digital landscape.
Purkayastha is no stranger to these debates. He already serves on the AI Council at Marketing and Media Alliance India and as co-chair of the Digital Entertainment Committee at the Internet and Mobile Association of India. His induction into the IAB SEA+India Video Council extends that influence into the global video standards arena.
Inshorts Group sits squarely at the intersection of these forces. Its flagship product, Inshorts, India’s highest-rated short news app, reaches 12 million active users with 60-word news summaries. Its sister platform, Public App, reaches 80 million monthly active users across more than 700 districts and 12 languages, serving communities that most global platforms barely register.
Purkayastha said the opportunity was about building something more representative. “India today sits at the centre of the global video ecosystem, but the frameworks that define how value is created and measured have not always kept pace with the realities of our market,” he said. “Being part of the IAB SEA+India Video Council is an opportunity to contribute to a more representative and future-ready approach, one that accounts for diversity in language, context, and user intent.”
As a council member, Purkayastha will contribute to shaping regional standards across video advertising, measurement and platform governance, with a focus on frameworks that are native to India’s multilingual, mobile-first ecosystem rather than imported from global benchmarks designed elsewhere.
For years, India has been content to play by rules written for other markets. Purkayastha’s induction is a signal that it is done waiting to be consulted and ready to start writing them.
