Firms trusting AI to hire most suitable talent

DECCAN CHRONICLE. | NAVEENA GHANATE
Published Feb 10, 2018, 1:54 am IST
Updated Feb 10, 2018, 1:54 am IST
Software firms are able to function efficiently even when they receive a pile of resumes.
Recruiting candidates for jobs have become more impersonal and automated as companies are increasingly using automation, Artificial Intelligence and Machine Learning.
 Recruiting candidates for jobs have become more impersonal and automated as companies are increasingly using automation, Artificial Intelligence and Machine Learning.

HYDERABAD: As Artificial Intelligence (AI), Machine Learning (ML) and automation continue to replace our jobs, the same technologies help companies to hire the right candidates too. 

Hiring candidates is a tedious task as the recruiter first has to screen a pile of resumes, identify some candidates, conduct skill tests and finally check the references. 

 

With advanced technology making inroads into people’s life, it is only logical that AI/ML is being used to pass on some of our mundane tasks to the machines.
Recruitment is one area that takes a considerable chunk of HR department’s time. Most of the vacancies are now announced online through LinkedIn, Facebook, Twitter or other job portals. While this makes it easy to apply for a job, the challenge is for the recruiter to hunt out the relevant resumes.  

With AI and ML automation software, companies such as Amazon and Microsoft are able to function efficiently even when they receive numerous resumes. 

“Lots of HR staff try to find out matching skills manually which in turn get rejected finally by the technical manager. We use existing databases such as LinkedIn to find out more about a person. Using Machine Learning, we can easily cut down the number of resumes from 100 profiles to 10 relevant ones,” Hari Krishna, co-founder of Hyderabad based Param.ai, said.

Several big organisations are opting to shift from a traditional recruiter to a strategic one. Even after the profiles are shortlisted using such techniques, technical interviews are conducted using code challenges or hackathons.

Some companies give a problem statement based on the job profile. All the shortlisted candidates who solve the problem are selected for the next round. These are organised by start-ups. 

Following this, meetings are scheduled with the technical team. 
“We use Machine Learning for matching profiles with job requirements wherein the algorithm gives a score after matchmaking. We then conduct code challenges with the aid of AI assisted Bot (an automated programme) meetings. The Bot understands natural language and schedules an interview based on a time suitable time to all parties,” Nikunj Varma , co-founder of Cutshort, said.

Cutshort has been helping companies such as Google, Microsoft, Myntra, Uber, Snapdeal, Flipkart and Twitter with their automation tools in recruiting candidates. The conventional recruitment is time consuming and labour intensive. 

There has been an increase in number of start-ups providing automation tools to big companies. Even Google has a programme called Cloud Jobs that makes use of Machine Learning for recruitment.

Location: India, Telangana, Hyderabad




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