Over the last few years, AI has become one of the buzzwords of not just the IT industry, but every sector imaginable. Given its huge potential, it’s not surprising that it is amongst the most sought-after skills by employers and employees alike. Artificial Intelligence exists as a broader concept, and an amalgamation of human intelligence with machines. The main aim behind deploying AI-based solutions is to enable machines or systems to act by itself without repeated programmer coding.
There are certain requirements in order to enjoy a successful career in AI and ML. For starters, one needs to have in-depth knowledge of data science & statistics, and basic knowledge of data processing and software engineering. Additionally, a strong combination of both technical as well as non-technical skills can greatly help in exploring a career in AI
Technical Skills:
Computer programming: One of the fundamental skills to have is the ability to program. Computer architecture, optimization algorithms, data structures, trees, and graphs are just some of the subjects that one would need to be well-versed with.
Statistics & probability: At the root of data science is statistics. This is a core part of AI and ML, and having a working knowledge of probability concepts including conditional probability, Markov models, Bayesian principles, etc. is very important.
Data modeling: A strong skill that can help in AI is data modelling. It is used extensively in AI to handle pattern recognition and datasets classification.
Strong understanding of Unix tools: AI professionals are required to have a strong understanding of Unix tools, their functions, and how to best utilize them since most AI processing will take place on Linux-based environments.
Efficiency in distributed computing: Majority of the AI jobs require programmers to deal with large volume of data, which can’t be processed effectively using a single machine. Hence, programmers need to have skills in distributed computing as this data will be equally distributed across systems.
Design & software: Although on record this may seem like the most irrelevant skill still they need to develop this skillset as the ultimate product will be developed in the form of a software only. Hence, its design will have a huge impact on customer experience.
Non-Technical Skills:
Communication skills: AI jobs require professionals to be good communicators. In addition to having technical know-how, AI aspirants need to communicate innovative ideas effectively to their teams.
Collaboration: For an AI professional, it is necessary to effectively collect data and convey the information in a comprehensible manner to the team. This requires teamwork. Hence, collaboration is essential.
Marketing skills: No matter how good your idea or project is, it will not sell itself. Being able to market your ideas is crucial to succeed in the AI space.
Systematic and analytical thinking: Is very important when building a career in AI. One needs to have a curious mindset, and a thirst for problem solving. AI aspirants need the ability to understand problems faced by users and then devise solutions accordingly.
The writer is Lakshmi Mittra, VP and Head, Clover Infotech