Lead ML Ops Engineer: GenAI & LLM Deployments

RBC; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading financial institution in Toronto is seeking a Lead ML Ops Engineer to build and manage CI/CD for ML on OpenShift using cutting-edge technologies. You will collaborate with teams to deploy and manage LLMs while ensuring the integration of models into data pipelines. A strong background in MLOps and Python is essential, along with a Bachelor's degree in a related field. This role offers compelling opportunities within a high-performing team, alongside competitive salary and comprehensive rewards program.

Benefits

Comprehensive Total Rewards Program

Competitive compensation

Career development opportunities

Qualifications

• 3+ years of hands-on experience in MLOps/LLMOps.
• Production experience with LLMs and agentic AI.
• Excellent communication and cross-team leadership skills.

Responsibilities

• Build and operate CI/CD for ML and GenAI on OpenShift using GitHub Actions.
• Deploy and manage LLMs and agentic services on cloud.
• Collaborate with data scientists and engineers to integrate models into microservices.

Skills

MLOps

Python

SQL

GitHub Actions

Airflow

Education

Bachelor's degree in Computer Science or Engineering

Tools

Kubernetes

OpenShift

AWS

Azure

Job description

A leading financial institution in Toronto is seeking a Lead ML Ops Engineer to build and manage CI/CD for ML on OpenShift using cutting-edge technologies. You will collaborate with teams to deploy and manage LLMs while ensuring the integration of models into data pipelines. A strong background in MLOps and Python is essential, along with a Bachelor's degree in a related field. This role offers compelling opportunities within a high-performing team, alongside competitive salary and comprehensive rewards program.