Artificial intelligence is quickly changing the world we work in. In this changed work environment, the skills needed to thrive are also changing. According to a study by LinkedIn, AI’s influence is likely to change job skills required for employment by 64% in India by 2030. Since AI’s implementation has been most drastic and rapid in the field of technology, job skill requirements in the field are also quickly becoming more and more AI-centered.
AI has a broad range of applications in the world, from simply automating tasks to solving complex problems. Therefore, mastering AI requires the development of different skill sets depending on the professional role and objectives. For instance, a data scientist focusing on machine learning (ML) for predictive modelling requires knowledge of algorithms, statistical analysis, and programming languages. However, a content creator using AI for content generation and task automation simply needs familiarity with AI platforms. This article discusses the five key skills needed by those who aspire to build a career in an AI-based tech world.
Five key skills for building a thriving career in the AI-based tech sector
The expansion of AI adoption in the tech sector has made the following skills essential for anyone who wants to build a career in the field:
Programming and coding
Knowledge of programming languages and coding skills are critical when it comes to the development and training of AI systems. Practical knowledge of programming languages helps individuals write codes and develop AI models that can solve complicated problems. Python is the most important programming language for an AI-based tech sector, but familiarity with other languages like C++ and Java may also be needed depending on the domain of work within the sector. Knowledge of programming languages allows professionals to work with AI frameworks and libraries.
Job roles where these skills are needed: If you are aspiring for emerging AI-based tech roles like ML engineer or AI software developer, you must have a strong command over these programming languages.
Machine and deep learning
Machine learning enables the system to learn from data and make decisions. This makes knowledge of machine learning algorithms a key skill in an AI-dominated tech sector. AI systems use machine learning to perform various key functions like automating tasks, making predictions, and recognising patterns. Similarly, knowledge of deep learning is also needed to pursue AI-based tech careers. Deep learning is a type of ML algorithm that uses neural networks (layers of algorithms designed to process data like the human brain) to help AI systems understand images, recognise patterns, and undertake language translation.
Job roles where these skills are needed: Some of the key roles that require knowledge in machine learning include data scientist, deep learning engineer, and AI product manager. Machine learning engineers and software engineers need to have deep learning knowledge.
Data analytics
Artificial intelligence algorithms work by processing large amounts of data. Raw data is fed into the system to train it on how to extract meaningful insights and improve accuracy. Professionals with data analytics expertise can help detect patterns and insights from datasets to improve AI models. Knowledge of data processing, data visualisation, and statistical analysis is key for AI professionals who have to refine algorithms.
Job roles where these skills are needed: Data scientists, AI engineers, ML engineers, data analysts, and big data engineers must possess strong skills in data analytics.
Natural language processing
NLP, or natural language processing, is a key skill for employment in the AI-driven tech sector. Professionals with NLP knowledge can develop AI models that understand human language and generate responses. This skill can help design smarter and more intuitive AI chatbots, voice assistants, and automated content creation tools for businesses that require such automation. Developing an understanding of various NLP libraries like NLTK and spaCy can help professionals build AI applications that improve customer interactions.
Job roles where these skills are needed: Natural language processing skills are required by those pursuing careers as AI engineers, chatbot developers, data scientists, ML engineers, and sentiment analysis experts.
Knowledge of AI ethics
There are various ethical concerns around the development and use of AI tools. For instance, AI systems may perpetuate biases like gender bias through their responses and outcomes if they are trained on biased data. This can result in filtering out job applications of women if the system is adopted for screening resumes at a firm. To counter these challenges, governments around the world are introducing principles to guide AI use. AI workers in the tech sector must possess a thorough understanding of AI ethics frameworks and such principles to navigate such biases and adhere to data privacy laws. A basic understanding of bias mitigation techniques and transparency is essential for all AI-based tech workers.
Job roles where these skills are needed: While all AI professionals should be familiar with AI ethics, this skill is especially important for AI ethics consultants, data privacy officers, compliance analysts, ethical AI researchers, and AI risk managers.
Other skills needed to thrive in the AI-based tech sector
While technical skills are critical for finding employment in an AI-based tech sector, professionals also need the following soft skills to actually thrive:
- Critical thinking skills
- Problem-solving skills
- Commitment to continuous learning
- Adaptibility
- Communication
Summing it up
Thriving in an AI-influenced tech sector requires mastering certain technical skills. Possessing knowledge of programming languages and coding, data analytics, machine and deep learning, and natural language processing, along with AI ethics, can help you build a strong career in AI. The best way to develop these skills is through continuous education and practice. You can enrol on various courses listed on online marketplace to upskill and be prepared for an AI-driven career. Some education specialists also offer programmes with practical exercises to help students develop AI skills. If you wish to pursue an AI degree from some of the few global institutions that offer such courses, you can even consider taking a loan from a bank or NBFC to further your education and skills.
