Senior Machine Learning Engineer at q2ebanking

Language

Setup: Hybrid
Location: Canada
Type: Full-time
Level: senior
Posted: Sep 25, 2026

Description

Q2 is hiring a Machine Learning Engineer to design and deliver production-ready AI solutions for its financial-services technology platform. The role focuses on building LLM agents, evaluation pipelines, agentic workflows, fine-tuned models, cloud and backend services, security guardrails, observability, and continuous model improvement. Candidates need a relevant bachelor’s degree with 5+ years of related experience or an advanced degree with 3+ years, plus 5+ years of professional software, machine learning, or AI engineering experience, Python proficiency, and experience with production AI systems, APIs, microservices, and cloud infrastructure.

Required Skills

Python
LLM applications
RAG
Agentic workflows
Docker
Kubernetes
MLOps

Additional Information

Minimum Education: Bachelor’s degree in a relevant field, or an advanced degree with 3+ years of experience, or equivalent practical work experience
Required Previous Experiences: 5+ years of professional software, machine learning, or AI engineering experience with production-system ownership
Hands-on experience developing LLM applications, RAG, agentic workflows, multi-step reasoning, and model/tool integration
Experience building and operating production AI/ML systems, including evaluation, monitoring, safety guardrails, retuning, and observability
Experience deploying and scaling cloud-native infrastructure, containers, and automated pipelines
Preferred Qualifications: Familiarity with Docker, Kubernetes, and MLOps practices
Translation Company Name: Q2 Canada