Artificial intelligence aims at imparting human cognitive abilities to machines and business processes. Just imagine how smart machines would get with AI giving them the skills of reasoning and human-like thoughts. AI has always looked at building systems with human intelligence for better task execution and efficiency. AI today is finding application in almost all domains like healthcare, supply chain and logistics, transport, banking and agriculture, to name a few. This comprehensive study from McKinsey depicts AI as the next frontier of a technological revolution in business. Although AI is often portrayed as a job killer for the current workforce, the reality is somewhat different. Experts predict that AI will create more and better opportunities like artificial intelligence engineer, machine learning engineer, research scientist and others for people who are willing to up-skill themselves. Businesses will strive towards inclusive technology giving shape to hybrid workforces. Pursuing AI as a career is an exciting thought for many nowadays, but how to get started is the first obstacle they face. A smart way to tackle this conundrum is to consider starting out as a Freelance Artificial Intelligence Engineer.
How to Become a Freelance Artificial Intelligence Engineer?
There are numerous freelancing platforms where you can kick start your career as a Freelance AI engineer. But you can only be successful as one once you have the required skillset and can market your skills effectively. Let’s take a look at the prerequisites you must have.
- Coding skills
For considering a career as an AI engineer, you must be proficient in coding languages like Python, C, C++. Since AI is multi-disciplinary technology, knowledge of machine learning frameworks like TensorFlow and expertise in data analytics languages like R is also needed to be successful.
- Knowledge of machine learning
Machine learning is an important sub-domain of AI as it gives the systems the ability to learn dynamically and have a better response to scenarios. AI engineers must be experts in developing machine learning algorithms to tackle real-world problems.
- Data analytics
AI Engineers must have the ability to utilize data analytics tools to effectively power AI-driven applications. Data plays an important role in today’s internet age and is of no use if not handled appropriately.
- Liaison between different teams
Although in the freelancing scenario you must always strive towards working as a full stack developer, at times you might want to act as a bridge between different teams depending on the scale of the project. AI engineers must have a bird’s eye view of proceedings in such scenarios.
How Freelancing Helps Businesses and Individuals Achieve More
As an Artificial Intelligence freelancer, the work will be flexible enough for you to experiment in relatively newer technologies like AI without taking the risk of actually quitting your full-time job. It provides you with an option to keep learning, and at the same, be on the lookout for industrial projects. You may think so, but freelancing is not just limited to part-time opportunities as many professionals prefer full-time freelance work culture over conventional jobs. It offers several benefits like
- Flexible working hours
- Better work-life balance
- High pay for both full time and part-time projects
- Flexibility to work as much you want
Freelance talent has become an instant hit among businesses too. They no longer have to expand their workforce for just one project, since with freelancers they can onboard them on a project basis. Some businesses have even adopted the concept of the complete remote workforce as that saves them the extra cost of setting up an office and building infrastructure. Here’s a study from Upwork giving insights on how fortune 500 companies like Dropbox, Airbnb and Samsung are on a lookout for freelance talent saving crucial time and money.
Why are AI Engineers Critical for Business Success?
Last few years have seen a major paradigm shift in AI implementation in businesses. AI-driven organizations are doing better as compared to their peers as AI is driving automation and analytics with better efficiency. Since the application of AI is not limited to a domain, a good AI workforce is the need of the hour for organizations. Having said that, in their early stages, AI-driven applications will need considerable support from a professional workforce since the success of a business will depend on the effective full-scale deployment of AI applications.
Organizations have realized the potential of AI-driven businesses and even in early stages have started working on boosting AI infrastructure and talent pool with extensive investment. Considering this, AI is set to create jobs at a significant rate, predicts KPMG’s report on ‘AI transforming the Enterprise’. The freelance talent will play a major role in occupying these jobs as most of the early adopters of AI think outside the box and have no issues considering freelance talent. Although freelancing is a demanding job at the early stages of developing a profile, you will reap benefits later if you focus on creating long term relationships with clients. Machine learning and data analytics freelancers are the highest paid ones among freelance skills, and thus the number is only bound to grow in future.
Wondering where to begin your freelance AI Engineer career? Try taking an online course to acquire the necessary skills. We recommend opting for a focused AI and ML learning program offered by Springboard. Having launched thousands of students across 100+ countries into professional success, Springboard is an avenue that can help you take your career to new heights.