Artificial Intelligence

Artificial Intelligence (AI) is one of the most transformative technology evolutions of our times. Most companies have started to explore how they can use AI to improve customer experience and to streamline their business operations. This will continue in the coming years, and while people will increasingly become used to working alongside AIs, designing and deploying your own AI-based systems will remain an expensive proposition for most businesses.

For this reason, much of the AI applications will continue to be done through providers of as-a-service platforms, which allows you to simply feed in your own data and pay for the algorithms or compute resources as you use them through contractors Navitas Partners deploys.

Currently, AI platforms out in the market tend to be somewhat broad in scope with expensive, custom-engineering required to apply them to the specific task’s organizations may need. In the near future, we will see wider adoption and a growing pool of providers that are likely to start offering more tailored applications and services for specialized tasks. This means companies will have more option of services and platforms and apply AI to their business.

Jobseekers are wise not to take AI job titles at face value. For example, some companies require data scientist candidates to hold a PhD or MS in Computer Science or Statistics, while other organizations may accept a BS or a mix of college degree and certain types of experience. Similarly, a “senior” title may require a graduate degree and more experience at some companies than others.

Some of today’s most popular AI job titles Navitas Partners deploys are:

  • AI Developer
  • AI Engineer
  • Algorithm Developer
  • AWS Machine learning Engineer
  • Azure Data Scientist
  • Data Scientist
  • Lead Data Engineer
  • Lead Data Scientist
  • Machine learning Scientist
  • ML Data Developer
  • Senior Data Scientist
  • Senior ML Engineer