How Dice Tools Help You Build an Automation Team

Today, the proper AI infrastructure is key to making productivity gains in organizations. Those tech professionals who know how to use AI will surpass those who lack these skills.

Implementing AI automation allows organizations to do more at a lower cost, but that requires hiring the right talent and implementing the appropriate tech tools.

“They have to have the tools in place and the infrastructure to support an AI or automation strategy within the organization for their employees,” says Joseph Thompson, senior manager at Dice.

When it comes to AI, organizations must understand their strategy and risk thresholds and know when more advanced security is necessary, according to Thompson.

“They can’t just have an open large language model (LLM) where their employees are working with sensitive information,” Thompson says. “They have to have a different type of strategy.”

Companies must establish a policy around use of robotic process automation and AI.

“Before we start the hiring process, we need to determine what our policies are going to be around the use of RPA and AI so that we know what it is we need to hire for and what it is we’re aiming to implement in our organization,” Thompson says.

Here are some strategies organizations can use to develop policies around RPA and AI that will help them hire the right professionals in automation.

Developing a Hiring Strategy in AI and Automation

When you’re looking for tech professionals to build AI models, you may want a consultant who can establish the LLM on a project basis. Then you can hire full-time staff to maintain the model going forward, according to Thompson.

In addition, hiring managers should look for consultants who could help a CIO determine the right strategy for their business based on how secure their risk threshold is, Thompson advises.

“You need to decide what your strategy is as an organization, and what you’ll allow and not allow in your implementation of AI for your employees,” he explains.

In addition, organizations will need to decide if they will have a closed or open LLM.

“That is one of the bigger decisions that a company will have to make, because it’s going to have implications on the cost of that project and the head count and skills that they need to implement,” Thompson says.

Companies need to hire tech professionals that could build a data strategy around a data lake and build a data model strategy. They need candidates that can train statistical models.

“A big part of an LLM and building an AI is understanding how the data lake works and how you’re tokenizing that text, as well as your strategy around obtaining that information,” Thompson explains.

In addition, recruiters should hire candidates that can guide statistical models on how to interpret words and train statistical models on how to give the best response to the words they’re given.

How Dice Helps a Company With Automation Hiring

Dice offers candidate search tools to help organizations identify potential candidates with the right skills related to AI and automation. The Dice search interface helps recruiters focus on what they’re looking for.

Boolean Search: For example, using Boolean search provides a way to research the depth of skills that candidates offer, Thompson notes.

If you do the search “AI” AND “Data Scientist” AND “LLM” AND “ML” on Dice, you get profiles of candidates with the number of years of experience in areas such as Python, data modeling and artificial intelligence. You can also look for candidates that show the training they’ve undertaken in AI.

Dice’s skills taxonomy has been refined over 10 years, Thompson notes.

“The richness of skills information related to a profile on Dice enables our Boolean searches at the highest level to identify exactly what you need,” Thompson says.

Recruiters can take unique skill sets of candidates and connect the dots when creating profiles, which can be searched using Boolean.

Dice allows recruiters to build a Boolean search from job descriptions or from LLM chats.

For example, if you’re looking to hire a machine learning scientist, you can enter that in the Keyword or Boolean Search and then click the “Enhance With AI” button below it. AI helps provide suggestions on the skills to include in the search. That expands the search to include terms such as TensorFlow, Python and algorithm development.

“We simplify some of the elements around if you don’t know what skills you need,” Thompson explained. “That can be a big benefit to a company, especially in HR.”

Here’s the Boolean search that Dice creates when you type “machine learning scientist” and then click the “Enhance With AI button”:

(“Machine Learning Scientist” OR “Machine Learning Engineer” OR “Data Scientist” OR “AI Scientist” OR “Research Scientist” OR “ML Researcher”) AND (“machine learning” OR “deep learning” OR “neural networks” OR “natural language processing” OR “computer vision” OR “reinforcement learning”) AND (“Python” OR “R” OR “TensorFlow” OR “PyTorch” OR “scikit-learn” OR “Keras”) AND (“data analysis” OR “statistical modeling” OR “algorithm development”) NOT (“intern” OR “entry-level”)

IntelliSearch: Dice’s IntelliSearch field allows you to enter unstructured text around what you are looking for, and then Dice’s AI capabilities help you build a Boolean search based on unstructured text to find candidates.

“IntelliSearch does a lot of the searching if you’re not a skilled operator of Boolean, or the tool can use AI to build out a Boolean search from unstructured text,” Thompson says.

“If you’re skilled at Boolean, you can really leverage that itself, just to really narrow your focus and what you want,” Thompson says. “If you’re not, Dice can either just take your unstructured text and do it ourselves, or we will help you build that Boolean out to give you a starting point.”

Dice has a rich set of data around a candidate’s profile. Boolean allows you to leverage that data in your search if you are a skilled operator. If companies already have an AI strategy defined, Dice has tools to help narrow down the candidates they are looking for.