Data engineering automation and enhancement for food and agriculture industry applications - ON-952

Project type: Research
Desired discipline(s): Engineering - computer / electrical, Engineering, Computer science, Mathematical Sciences
Company: Anonymous
Project Length: 4 to 6 months
Preferred start date: As soon as possible.
Language requirement: English
Location(s): Stoney Creek, ON, Canada; Halifax, NS, Canada; Toronto, ON, Canada
No. of positions: 1
Desired education level: Postdoctoral fellowRecent graduate
Open to applicants registered at an institution outside of Canada: Yes

About the company: 

A multinational food technology company with headquarters in Stoney Creek, Ontraio. The company provides AI powered technology for companies across the food and agriculture supply chain.

Describe the project.: 

This project is focused on automation of data engineering processes from end-to-end, creating a seamless pipeline that facilitates advanced analytics and decision-making in the Food and Agriculture sector.

Key objectives include:

1. Full-Spectrum Automation: Design and implement a fully automated data engineering pipeline that ensures efficient, error-free data handling, from ingestion to processing and analysis.
2. Cutting-Edge Solutions: Stay at the forefront of technological innovation by adopting and customizing the latest commercializable data solutions to meet the specific needs of the food and agriculture industry.
3. Scalable Systems: Build robust and scalable systems that can handle the increasing volume as more Food & Agriculture customers are onboarded.

The project will enable the company to continuously cater to the Food & Agriculture industry’s evolving data-backed decision making needs.

Required expertise/skills: 

Data Engineering, Data Science, Machine Learning, Computer Vision