Job description
Job details
- Location: North Vancouver, Greater Vancouver
- Work mode: Onsite
- Employment type: Full-time (Not an internship)
- Salary: Salary details are available in the employer description.
Role overview
Equest seeks a hands-on Engineering Manager to lead their ML Platform and Infrastructure team. You'll oversee strategic planning, architecture, and reliability of compute and data systems powering advanced acoustic imaging technology.
Job details
Based in North Vancouver, Greater Vancouver, this Full-time Onsite role involves managing petabyte-scale ultrasound datasets to detect millimeter-sized defects across large asset networks. Salary details available in employer description.
Responsibilities
- Lead ML Platform and Infrastructure team strategic planning
- Design and maintain reliable compute/data systems for acoustic imaging
- Ensure scalability of petabyte-scale data processing pipelines
Requirements
- Proven leadership in ML infrastructure development
- Expertise in distributed systems and data architecture
- Strong understanding of cloud engineering principles
Benefits
- Competitive compensation package
- Professional growth in cutting-edge imaging tech
Keywords
machine learninginfrastructuredata systemscompute architecturePythonDevOpscloud engineering