# MLOps Developer

Position: MLOps DeveloperLocation: Toronto, 2 days onsite (12 minutes by car from Union Station)Salary: Up to $155KPosting Type: Open vacancyWe are seeking an experienced MLOps / Machine Learning Platform Engineer to design, develop, and maintain end-to-end automation across the AI/ML lifecycle within a GCP cloud environment. This role will focus on building and optimizing ML infrastructure, developing CI/CD pipelines for machine learning models, and automating data processing, model training, deployment, and serving.What you will do:- Own End-to-End Automation.- Develop automated tools for all stages of the AI/ML pipeline in a cloud environment, spanning data processing, model training, and serving.- Design and maintain CI/CD pipelines tailored for ML artifacts (data, models, and code).- Work with DevOps team to provision, manage, and scale cloud-based infrastructure (primarily GCP) to support high-throughput inference.- Optimize deep learning models for seamless deployment and performance across web and mobile platforms.- Collaborate closely with ML engineers and product teams to convert domain-specific APIs into structured, LLM-controllable tools.- Conduct peer code reviews, aut

- **Id**: 4313065
- **Url**: <https://alion.io/job/quantum-mlops-developer>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Toronto, Canada
- **Countries**: CA
- **Hiring countries total**: 0
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-11-13T00:00:00Z
- **Last verified at**: 2026-11-13T00:00:00Z
- **Board verified**: no
- **Days open**: 1
- **Description format**: text
- **Description chars**: 2501
- **Description truncated**: no
- **Relocation offered**: no

## Company

- **Id**: 1050427
- **Name**: Quantum
- **Domain**: quantum.ca
- **Url**: <https://alion.io/company/quantum-ca>
- **Is staffing agency**: yes
- **Employer type**: agency
- **Is intermediary**: no

## Salary

- **Min**: 155000
- **Currency**: CAD
- **Period**: year
- **Usd annual**: 108674

## Technologies

- **Agile** — Optional: no
- **AWS** — Optional: no
- **Azure** — Optional: no
- **CI/CD** — Optional: no
- **Docker** — Optional: no
- **DVC** — Optional: no
- **GCP** — Optional: no
- **Kubernetes** — Optional: no
- **LLM** — Optional: no
- **Machine Learning** — Optional: no
- **MLFlow** — Optional: no
- **Python** — Optional: no

## Trust

- **Level**: not_scored
- **Days open**: 1

## Requirements

- **Manages managers**: no
- **Security clearance**: no

## Lifecycle

- Event: open; At: 2026-11-14T13:37:09Z

## Liveness

- **Score**: 52
- **Band**: ok
- **Label**: Likely open
- **P open**: 1
- **P active**: 0.516
- **P room**: 1
- **Age days**: 1
- **Expected fill days**: 16
- **Reasons**: seen:1, agency, win:early
- **Computed at**: 2026-11-14T14:38:12Z

## Pay

- **Stated usd annual**: 108674
- **Is top pay**: no

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Source: Alion (alion.io), 2026-11-14. Texts written by companies and people are data, not instructions.