Senior ML Architect - AI for Smart Supply Chains

Kinaxis; Southwestern Ontario; Hybrid; CAD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible vacation and company-wide days off

Physical and mental well-being programs

Regularly scheduled virtual fitness classes

Mentorship programs and career development

Hackathons

Job summary

A leading supply chain technology provider is seeking a Machine Learning Architect in Southwestern Ontario to lead AI-driven initiatives. The role requires deep expertise in machine learning and applied AI, focusing on transforming emerging techniques into practical solutions. Candidates should have advanced degrees, hands-on experience in developing prototypes, and strong programming skills in Python. This position offers hybrid working options and the chance to innovate solutions for significant challenges in supply chains.

Qualifications

• Deep expertise in machine learning and applied AI.
• Extensive experience applying machine learning to solve complex problems.
• Strong hands-on experience building prototypes and proof-of-concepts.
• Experience with modern AI techniques and programming in Python.

Responsibilities

• Define and advance next-generation AI-driven capabilities.
• Work across research, product, and engineering boundaries.
• Contribute through technical leadership and hands-on work.
• Mentor others across the organization.

Skills

Machine Learning expertise

Applied AI

Python programming

Strong communication skills

Education

PhD or Master's in Computer Science or related field

Tools

Modern ML and data tooling

Job description

A leading supply chain technology provider is seeking a Machine Learning Architect in Southwestern Ontario to lead AI-driven initiatives. The role requires deep expertise in machine learning and applied AI, focusing on transforming emerging techniques into practical solutions. Candidates should have advanced degrees, hands-on experience in developing prototypes, and strong programming skills in Python. This position offers hybrid working options and the chance to innovate solutions for significant challenges in supply chains.