Lead Machine Learning Engineer in Canada Creek, Nova Scotia at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Machine Learning Engineer in Canada.

In this role, you will act as a technical leader driving the design and delivery of advanced machine learning solutions for enterprise clients across multiple industries. You will shape end-to-end AI architectures on cloud platforms, translating complex business problems into scalable, production-ready ML systems. The position combines hands-on engineering with client-facing consulting, requiring both deep technical expertise and strong communication skills. You will guide project teams through the full lifecycle of delivery, from solution design and pre-sales engagement to deployment and optimization. A key part of your impact will be defining technical standards, mentoring engineers, and building reusable frameworks that elevate delivery quality. This is a high-ownership leadership role at the forefront of applied AI and cloud innovation.

• Lead the technical strategy across pre-sales and delivery phases, designing ML solutions aligned with client business needs
• Architect and implement end-to-end machine learning systems on cloud platforms, particularly GCP, ensuring scalability and performance
• Build and maintain production-grade MLOps pipelines using tools such as Terraform and Infrastructure-as-Code practices
• Develop, deploy, and optimize machine learning models, including GenAI, recommendation systems, and predictive analytics solutions
• Define and evolve engineering best practices, architectural standards, and delivery frameworks across the ML practice
• Lead client-facing technical discussions, translating complex AI concepts into clear, business-oriented solutions
• Mentor and coach junior and mid-level engineers through code reviews, technical guidance, and career development support
• Drive internal initiatives such as reusable accelerators, frameworks, and tooling to improve delivery efficiency
• Ensure high standards of software engineering quality, including testing, CI/CD, and system reliability
• Collaborate with cross-functional teams to ensure successful deployment and adoption of ML solutions

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
• Experience with MLOps tools (e.g., Kubeflow, Vertex AI Pipelines, MLflow) is a strong plus
• Exposure to GenAI systems, distributed computing, or cloud certifications is a bonus

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