Job description
Job details
- Location: Canada
- Work mode: Remote
- Employment type: Full-time (Not an internship)
- Salary: CAD 175,000 - 200,000 per year
Role overview
Jobgether is seeking a Lead Machine Learning Engineer to join a partner company in Canada. In this senior leadership position, you will drive the design and delivery of advanced machine learning solutions for enterprise clients across various industries. You will be responsible for shaping end-to-end AI architectures on cloud platforms, translating complex business requirements into scalable, production-ready ML systems.
Job details
This is a Full-time position based in Canada. The role is offered as a Remote opportunity. This is a professional leadership role and is not an Internship. The annual salary range for this position is 175,000 CAD to 200,000 CAD.
Responsibilities
- Lead the technical design and implementation of advanced machine learning solutions for enterprise clients.
- Architect end-to-end AI pipelines on cloud platforms to ensure scalability and production readiness.
- Translate complex business problems into technical ML specifications and actionable development roadmaps.
- Mentor junior and mid-level engineers to improve overall team technical capabilities.
- Collaborate with stakeholders to align AI strategies with overarching business objectives.
Requirements
- Proven experience as a Lead ML Engineer or in a similar senior technical leadership role.
- Deep expertise in designing and deploying production-grade machine learning models.
- Strong proficiency in Python and common ML frameworks such as PyTorch or TensorFlow.
- Extensive experience with cloud infrastructure (AWS, Azure, or GCP) for AI workloads.
- Ability to manage the full ML lifecycle from data ingestion to model monitoring.
Benefits
- Competitive annual salary range of 175,000 CAD to 200,000 CAD
- Remote work flexibility across Canada
- Opportunity to lead high-impact enterprise AI projects
- Professional growth in a technical leadership capacity
Keywords
Machine LearningAI ArchitecturePythonCloud ComputingMLOpsEnterprise AIDeep LearningScalable Systems