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

Genre de projet: Recherche
Discipline(s) souhaitée(s): Génie - informatique / électrique, Génie, Informatique, Sciences mathématiques
Entreprise: Anonymous
Durée du projet: 4 à 6 mois
Date souhaitée de début: Dès que possible
Langue exigée: Anglais
Emplacement(s): Stoney Creek, ON, Canada; Halifax, NS, Canada; Toronto, ON, Canada
Nombre de postes: 1
Niveau de scolarité désiré: Recherche postdoctoraleNouvelle diplômée/nouveau diplômé
Ouvert aux candidatures de personnes inscrites à un établissement à l’extérieur du Canada: Yes

Au sujet de l’entreprise: 

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.

Veuillez décrire le projet.: 

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.

Expertise ou compétences exigées: 

Data Engineering, Data Science, Machine Learning, Computer Vision