Every industry is accelerating its investment in AI, DL (Deep Learning), and ML (Machine Learning). With so much attention, the demand for AI Developers is obvious. Whether it’s a tech giant or a start-up, the role not only pays you well but also enhances your career growth.
Most of the AI community works on an open-source landscape. That’s why many models built by AI Developers are game changers for many businesses.
From chatbots to self-driven cars and from medical surgeries to smart assistants like Alexa and Siri, organizations need skilled AI Developers to transform imaginations into reality.
Isn’t this why Yann LeCun, VP & Chief AI Scientist at Meta said,
“Our intelligence is what makes us human, and AI is an extension of that quality.”
The Enterprisers Project defines an AI Developer as one who designs and develops AI functionality into software applications. The role is generally focused on integrating and implementing AI algorithms and logic into the deliverables of an IT project.
According to a report by Forrester, AI in Software Development tremendously improves development, agile test automation, automation-testing software as well as RPA bots functions with the support of the software.
Angela Bassa, Sr Director of Data Science & Analytics at iRobot, and Data Advisor at Mirah says that the growth of the AI Development field is a testament to how much can be achieved.
Her advice to budding AI Developers is simple:
“Break a problem down to its atomic components, then build it back up towards a solution, and only ever add complexity if a simpler model doesn’t get the job done”.
As per a study by Fortune Business Insights, the global AI market value is set to touch $267 billion by 2027.
The U.S.Bureau of Labor Statistics predicts the growth of the Software Development (incl AI) job market at 22% between 2020 and 2030.
As Glassdoor estimates, the national average for an AI Developer salary in the USA is $1,16,481 per year.
Glider’s recruitment platform is built on the mission, of “competency over credentials”. This way, you can make the most of the hiring assessments through a structured and data-driven candidate-evaluation process.
Access 2,000 pre-built assessments covering over 500 skills with 250,000 questions, all validated by 2,000 SMEs including this for the AI Developer role.
Go ahead and spotlight your AI Developer with Glider AI today!
You can always write to us at info@glider.ai to help you access the hiring resources.
Make talent quality your leading analytic with skills-based hiring solution.
What is QA and Testing? Quality Assurance (QA) and testing are integral processes in software development aimed at ensuring the reliability, functionality, and usability of applications. QA involves establishing standards and procedures to monitor and improve the software development lifecycle, focusing on preventing defects and identifying areas for optimization. It encompasses various activities such as […]
Whether hiring for an entry-level web developer position or a web architect, asking the right JavaScript coding questions lets you assess the candidate’s depth of knowledge in core JavaScript concepts, problem-solving skills, and understanding of modern JavaScript practices. More than identifying which people in your pool of applicants can answer technical questions, these JavaScript interview questions also reveal who […]
What is Data Science and Analytics? Data science and analytics includes the systematic study of data to derive insights and make informed decisions across various domains and industries. It involves the application of statistical techniques, machine learning algorithms, and computational tools to analyze large and complex datasets, uncover patterns, trends, and correlations, and extract actionable […]
