Lead Machine Learning Engineer

Role Overview

Lead the technical strategy across pre-sales and delivery phases, designing ML solutions aligned with client business needs. This is a high-ownership leadership role at the forefront of applied AI and cloud innovation.

What You Will Do

Architect and implement end-to-end machine learning systems on cloud platforms, develop, deploy, and optimize machine learning models, and define and evolve engineering best practices.

Why It Might Be a Fit

7+ years of experience in machine learning engineering, data science, or software engineering roles, with at least 2 years of leadership experience in a tech lead, project lead, or mentoring capacity.

Requirements

• 7+ years of experience in machine learning engineering, data science, or software engineering roles
• At least 2 years of leadership experience in a tech lead, project lead, or mentoring capacity
• Strong experience designing and deploying production-grade ML systems on cloud platforms (GCP strongly preferred)
• Proficiency in Python for backend ML development, including clean architecture and software engineering best practices
• Strong experience with Infrastructure-as-Code tools such as Terraform and MLOps frameworks
• Solid understanding of REST APIs development using frameworks like Flask or FastAPI
• Strong SQL skills for complex data manipulation and analysis
• Excellent communication skills with ability to engage both technical and executive stakeholders
• Proven ability to mentor engineers and lead technical discussions in consulting or client-facing environments

Benefits

• Competitive salary ranging from CAD $175,000 to $200,000
• Fully remote work across Canada with home office support
• 20 days of annual paid vacation plus public holidays
• Additional wellness, lifestyle, and personal days for flexibility and balance
• Comprehensive employer-paid health, dental, and virtual medical benefits
• Retirement savings plan with employer matching after 3 months
• Paid certifications and access to professional learning platforms (e.g., Udemy Business)
• Annual budget for internet, phone, books, and learning resources
• Company-provided MacBook and equipment
• Regular off-sites, team events, and collaboration opportunities