MUMBAI: Artificial intelligence is being integrated, consciously or unconsciously, into every aspect of our lives, from social media to healthcare to cybersecurity. Most companies understand the potential of AI and are willing to invest in it. Therefore, we offer various employment opportunities in this field to streamline and improve your business goals. Before we discuss the various job opportunities further, we need to understand what AI is. AI is intelligence exerted by machines that mimic human thought processes. This includes cognitive skills such as learning, problem solving, communication, and planning. With the proliferation of AI, it has become ubiquitous in our lives due to the following characteristics:
● efficiency – Companies are starting to use AI to automate repetitive tasks, freeing up human resources for more creative/innovative work and generating higher profits.
● data analysis – AI can analyze large amounts of data and reveal insights based on facts rather than intuition.
● Available 365 days a year – AI is available 24 hours a day and does not require frequent breaks or sleep.
● personalization – AI can create customized experiences based on user preferences, leading to increased user satisfaction.
AI is a large umbrella term that includes areas such as:
● Deep learning: A subfield of AI that mimics neurons in the brain and uses very large datasets to solve real-world problems.
● Computer vision: It deals with making computers understand the visual world around them. Used for object identification and analysis of video/real-time camera feeds.
● Machine learning (ML): A subfield of AI. Algorithms are trained on large datasets to perform tasks such as prediction and pattern analysis without being explicitly programmed.
● Natural language processing (NLP): The field of AI that deals with understanding human language. It is widely used in chatbots, voice assistants, and sentiment analysis.
● Robotics: This is a field that combines AI, machinery, and electronics. AI plays an important role in making robots more autonomous and efficient.
These are just some of the areas of AI. Depending on how AI evolves in the future, the number of actual fields could be infinite. There are many unanticipated applications of AI. However, AI experts are currently in high demand in certain fields. These fields are:
● Machine learning engineer: You typically work closely with data scientists to understand problems and use programming and ML algorithms to solve them. This typically involves collecting and cleaning data, selecting the best model to train it, and finally deploying it to solve real-world problems.
● Deep learning engineer: They are involved in teaching machines to perform tasks by imitating neurons in the brain. Solving problems requires processing large amounts of data.
● Computer vision engineer: These are AI engineers who choose to specialize in computer vision. These engineers help machines understand the visual world around them by interpreting algorithms that understand digital images. They train computers to perform tasks such as object detection, image classification, and facial recognition. They tackle specific tasks such as object detection, image segmentation, and 3D reconstruction.
● Natural language processing engineer: They specialize in natural language processing. they design. They design computer systems that allow computers to understand, interpret, and produce language. They mainly work on chatbots and voice assistants. They combine knowledge from computer science, artificial intelligence, and linguistics to support human-machine communication.
● AI researchers: They are at the forefront of AI, exploring new algorithms, models, use cases, and even the ethical implications of AI on society. They love experimenting with their theoretical knowledge of mathematics and computer science and combining it with practical programming skills to solve real-world problems.
● Data scientist: Data scientists assist organizations by developing customized techniques and tools for data extraction and task automation, with a focus on creating algorithms and predictive models for data analysts. Interns begin by cleaning and preparing data and learning software such as SQL, Excel, Python, and R. The best interns will receive a pre-offer and become a junior data scientist, working closely with senior colleagues and engineers. Promotion from junior to senior data scientist includes team management and long-term project planning. Data scientists typically earn more than analysts, and analysts are often promoted to data scientist roles.
● Robotics Engineer: For robots to imitate human behavior, robotics engineers tend to use AI algorithms to help robots learn and adapt to the real world just like humans. They are also involved in robot design, electronics, and mechanical aspects.
AI projects tend to be multidisciplinary and require teamwork. People from different disciplines work together to solve common problems. Therefore, while technical skills are most important in this field, skills such as good communication and collaboration are also essential. Jobs in this field tend to be technical in nature, but there are some non-technical jobs as well. These jobs include those of AI Ethicist, AI Sole Consultant, and AI Product Manager. Students interested in entering this field should take a multifaceted approach to their research. A formal degree, such as in computer science, data science, or a related field, should be complemented by personal projects using open source AI libraries and datasets. These projects will help you showcase your knowledge that you can present to professionals at various networking events such as conferences and hackathons. Networking events like this give you insight into the current state of the AI job market.
This article was written by Taglabs founder Hariom Seth
