Jobs AI: What skills do you need to pursue a career in AI?

Artificial intelligence (AI) is all around us, often working behind the scenes to make our lives more convenient and efficient. AI is a revolutionary force that has reshaped our world in ways never before imagined. AI is an interdisciplinary field that combines elements of computer science, mathematics, and domain-specific knowledge. “A career in AI requires a diverse skill set combined with technical acumen and flexibility. Young people exploring this field should keep in mind that the foundation of a career in AI is knowledge of programming languages such as Python and machine learning,” says Ruchika Godha, COO, Advaiya. However, more than technical skills, honing skills like critical thinking, problem solving, and the ability to ask the right questions is essential.

“Beyond technical skills, we require the ability to solve important problems and a relentless desire to lead the way in the ever-evolving field of AI,” said Lakshmipriya Ashokan, head of human resources at Workhall.

To succeed in the AI field, you need to have certain skills. To pursue a career in AI and its promising future, you need these key skills:

1. Programming and coding:
“One of the foundational skills required for a career in AI is proficiency in programming and coding. You should be comfortable with languages like Python, TensorFlow, PyTorch and scikit-learn. Python is particularly popular in the AI space due to its extensive libraries and easy-to-learn syntax. Additionally, depending on the particular area of AI you choose, knowledge of other languages like C++ and Java may also be useful,” said Dheeraj Malhotra, India head, Data and AI practice, Insight.

2. Mathematics and Statistics:
It's important to develop an intuition for mathematics and statistics. Beyond coding and mathematical maturity in linear algebra, probability, and calculus, these programming languages allow you to implement machine learning models and algorithms. These concepts come up again and again when developing AI systems. You need to understand these concepts to effectively design and implement AI models.

3. Machine Learning and Deep Learning:
Machine learning is at the core of AI. Understanding algorithms for machine learning (ML) techniques such as regression, clustering, and neural networks is essential.

In India, the IITs offer robust foundation courses, for example, IIT Madras offers an MTech programme in AI and Machine Learning, IIT Bengaluru offers a PG diploma in AI and ML, and ISI Kolkata offers an MTech programme in AI and Data Science.

“Familiarity with deep learning frameworks such as TensorFlow and PyTorch is essential to tackle complex AI projects. Neural networks have driven remarkable advances in AI, especially in areas such as image recognition, natural language processing, and robotics,” said Dheeraj Malhotra of Insight.

4. Natural Language Processing (NLP):
Proficiency in NLP which involves processing textual data including tasks like sentiment analysis, language translation, chatbot development etc. You should understand concepts like word embeddings, sequence-to-sequence models, sentiment analysis techniques etc.

5. Data Management and Data Science:
AI training and testing requires large amounts of data. You need to be proficient in collecting, storing, and manipulating data. Database management and data preprocessing skills are essential for managing the data that powers AI models. An understanding of data ethics and privacy is also essential in today's data-driven world, as AI professionals often need a deep understanding of data science, including statistical analysis, hypothesis testing, and experimentation.

A career in AI can be both challenging and rewarding. To succeed in this rapidly evolving field, you will need to continually update and expand your skill set. As AI continues to evolve, challenges and ethical considerations arise as well. These include concerns about data privacy, bias in AI algorithms, and the impact on the job market. Addressing these issues is essential for AI to continue to be a positive force in society.

By acquiring programming, mathematics, machine learning and domain-specific knowledge, along with strong problem-solving and communication skills, candidates will be well prepared to succeed in the exciting world of AI. The future of AI is promising, and those with the right skills and passion can play a key role in shaping it.

“As the demand for AI professionals increases, educational institutions across the world are adapting to the changing situation. Reputed institutions such as the Indian Institutes of Technology (IITs) are offering specialised programmes in AI and machine learning. These programmes provide students with the foundational knowledge and practical skills required to navigate the complex world of AI,” said Anil Somani, Chairman, FOSTIIMA Business School.

“Starting a career in artificial intelligence requires a broad skillset that combines technical expertise with analytical understanding. Success in the AI field requires continuous learning, the ability to adapt, and a commitment to the ethical considerations that come with technological advancements,” said Kunal Gupta, founder and CEO of the Henry Harbin AI & Machine Learning Academy.