ODAIA Intelligence Inc.

HQ
Toronto, Ontario, CAN
79 Total Employees
Year Founded: 2018

Similar Companies Hiring

Information Technology • Software • Financial Services • Big Data Analytics
19 Offices
4000 Employees
Cloud • Mobile • Software
3 Offices
300 Employees
Artificial Intelligence • Cloud • Information Technology • Legal Tech • Productivity • Software
8 Offices
1100 Employees
Jobs at ODAIA Intelligence Inc.
Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.

3 Days AgoSaved
In-Office
Toronto, ON, CAN
Artificial Intelligence • Software • Analytics
The Senior Machine Learning Engineer will develop and enhance machine learning models and advanced analytics, collaborating with teams to deliver impactful, scalable AI solutions.
3 Days AgoSaved
In-Office
Toronto, ON, CAN
Artificial Intelligence • Software • Analytics
The Machine Learning Engineer will develop and optimize ML models, build scalable pipelines, and enhance model performance while collaborating with teams to deliver impactful AI solutions.
9 Days AgoSaved
In-Office
Toronto, ON, CAN
Artificial Intelligence • Software • Analytics
As a Technical Implementation Specialist, you will configure and implement ODAIA's AI-driven platform, collaborating with customers to integrate data assets and build automated ETL workflows.
14 Days AgoSaved
In-Office
Toronto, ON, CAN
Artificial Intelligence • Software • Analytics
As a Full-Stack Developer, you will enhance the ODAIA platform, collaborate with product and engineering teams, and manage custom implementations and workflows.
16 Days AgoSaved
In-Office
Toronto, ON, CAN
Artificial Intelligence • Software • Analytics
As a Product Designer, you will lead user research, define problems, and design user-centered solutions for a pharma sales platform, collaborating with teams to create intuitive workflows and consistent design patterns.
24 Days AgoSaved
In-Office
Toronto, ON, CAN
Artificial Intelligence • Software • Analytics
The Senior Data Engineer will design and implement scalable data solutions, manage data onboarding, develop automation tools, and serve as a data integration expert while collaborating with internal teams.