AI Developers in High Demand: Essential Skills to Look For
AI developers are currently experiencing high demand. To identify genuinely talented professionals, it is vital to distinguish between skilled experts and less qualified candidates.
Fundamental Knowledge of AI
Every AI developer should have a solid understanding of generative AI and large language models (LLMs), according to Sunil Kalra of LatentView Analytics. Essential concepts include UX design principles, security, and risk management. Knowledge of vector databases and multiple generative AI service offerings is also valuable. Combining technical and business expertise ensures effective AI implementation.
Programming Skills
Kenny Brown from Deloitte Consulting emphasizes the importance of being proficient in programming languages such as Python and R. Candidates should also possess machine learning algorithm expertise, analytical capabilities, and strong problem-solving skills. Domain knowledge and awareness of unconscious biases are crucial to avoid submitting erroneous data.
Robust Systems Knowledge
Eric Velte from ASRC Federal points out that AI development requires specialized skills distinct from traditional software development. Having foundational knowledge of AI systems and their frameworks can lead to greater efficiencies and data security.
Data Stewardship
Andrew Fedorchek from Mastercard highlights the importance of data stewardship, which includes maintaining security and privacy, transparency, and control over data usage. Ethical AI practices should also promote diversity, integrity, and innovation for positive societal impacts.
Commitment to AI Ethics
Nick Elsberry from Xebia stresses that AI developers need to go beyond technical skills by adhering to AI ethics. This commitment ensures the technology’s responsible development and deployment.
With these attributes in mind, organizations can identify the right AI professionals to drive innovation and maintain ethical standards in AI development.
