machine learning engineer
Super GeoAI Technology Inc.
Medicine Hat
Job Description
You have successfully applied for this job through Job Bank!
Job details
- Work location Hybrid
- Salary 80,000 to 150,000 annually (To be negotiated) / 40 hours per week
- Terms of employment Permanent employment Full time
Experience
5 years or more
Hybrid
Work must be completed both in person and remotely.
Work setting
- Startup company
- Relocation costs not covered by employer
- Willing to relocate
- Consulting firm
- Software company
Responsibilities
Tasks
- Data Science
- Upgrade and maintain software
- Design and develop database
Supervision
- 3-4 people
Work conditions and physical capabilities
- Ability to work independently
- Fast-paced environment
- Work under pressure
Who can apply for this job?
The employer accepts applications from:
- Canadian citizens and permanent or temporary residents of Canada
- other candidates, with or without a valid Canadian work permit
Important notice: This job posting was posted directly by the employer on Job Bank. The Government of Canada has taken steps to make sure it is accurate and reliable but cannot guarantee its authenticity.
Super GeoAI Technology Inc.
- Professional, scientific and technical services
- 2job postings advertised
- Medium-sized business(between 5 and 100 employees)
#J-18808-Ljbffr
How to Apply
Ready to start your career as a machine learning engineer at Super GeoAI Technology Inc.?
- Click the "Apply Now" button below.
- Review the safety warning in the modal.
- You will be redirected to the employer's official portal to complete your application.
- Ensure your resume and cover letter are tailored to the job description using our AI tools.
Frequently Asked Questions
Who is hiring?▼
This role is with Super GeoAI Technology Inc. in Medicine Hat.
Is this a remote position?▼
This appears to be an on-site role in Medicine Hat.
What is the hiring process?▼
After you click "Apply Now", you will be redirected to the employer's official site to submit your resume. You can typically expect to hear back within 1-2 weeks if shortlisted.
Sponsored