LaborX - ON-536

Project type: Research
Desired discipline(s): Engineering - computer / electrical, Engineering, Computer science, Mathematical Sciences
Company: Eminent-Tech Corporation
Project Length: 6 months to 1 year
Preferred start date: As soon as possible.
Language requirement: English
Location(s): Toronto, ON, Canada
No. of positions: 2
Desired education level: Master's
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About the company: 

Eminent Tech was established in 2004. We work with clients to help them deliver orgnization-wide digital transformations and developed customized training solutions to support their business grow. We are partnering with LMCC Group and LynxERP to bring our expertise in enterprise resource planning, data science, AI and project management to address the labor shortage and sourcing challenge for the manufacturing sector.  

Describe the project.: 

The goal of the project is to develop a proof-of-concept platform to recommend and match relevant labor to meet the needs of manufacturer using AI.

The scope of the project is to rely on meta data and leverage AI to reduce human interaction in the process of finding labor for the manufacturing sector. The manufacturing sector is only the starting point. The expectation is that the platform can also be scaled to other vertical such as personal support workers.

The platform will capture information about a potential employee in terms of their experience, education, certification, availability and locations. This data will be used to recommend, using AI/ML, relevant matches for the employer based on their skills and job requirements, as well as location of the employer.

 

Required expertise/skills: 

Knowledge and hands on experience in mobile app as well as web based application development. Willing to work occasionally in urgent nature of task and willing to prioritized key milestones. Good understanding of development life cycle and well verse in web based application developments. Specific skills will also include

  • Software development
  • AI/ML models and methods
  • Data science and database