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Added 11 mins ago
Procurement and Inventory Coordinator
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AB · Red Deer County, AB
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Added 11 mins ago
FL
Senior MLOps Engineer (AdTech)
Fluent, LLC
Remote, Canada
- $130,000 to $140,000 CAD / year
- Full-time
- Remote
Proven ownership of architecture and operations for real-time, low-latency relevance models and serving endpoints.
Added 11 mins ago
FL
Senior MLOps Engineer (Real-Time Decisioning)
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Remote, Canada
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Added 26 mins ago
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Fluent, LLC

Senior MLOps Engineer (AdTech)

Remote, Canada

Remote

$130,000 to $140,000 CAD / year · Full-time

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Job details

Pay: $130,000 to $140,000 CAD / year
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Nov 5, 2026

Original job description

We are seeking a Senior MLOps Engineer based in Canada to join our data and machine learning team. This role will co-own MLOps practices at Fluent Media and establish standards for model deployment, serving, scaling and infrastructure efficiency. Working with ML scientists, Data Engineering and Product, this engineer will ensure models support accurate ad selection through reliable production systems at an optimal cost to serve.

What You’ll Do

Partner with ML scientists to operationalize models in Databricks and AWS.
Build, monitor and optimize automated pipelines for training, testing and deployment.
Establish standards for model versioning, automated testing, release controls and performance monitoring.
Design and scale model-serving infrastructure to meet latency, reliability and cost requirements.
Lead investigations and resolve complex production issues across the ML lifecycle.
Document repeatable workflows, review designs and code, and mentor colleagues in MLOps best practices.
Create and maintain dashboards to track model performance, reliability and infrastructure cost.

Strong experience with Databricks (preferred) and AWS-based ML workflows.
Proficiency with Python, SQL, PySpark and related ML and data engineering tools.
Experience with ML lifecycle management tools such as MLflow and Delta Live Tables.
Proven ownership of architecture and operations for real-time, low-latency relevance models and serving endpoints.
Hands-on experience with CI/CD, automated testing and monitoring systems.
Ability to independently resolve production challenges and collaborate with ML scientists, engineers and Product.
Experience reviewing pull requests, establishing engineering standards and mentoring colleagues.

Nice-to-Haves

Knowledge of data governance, security, and compliance in cloud environments.
Familiarity with model observability and explainability frameworks.
Experience with stream processing or near-real-time pipelines.
Knowledge of digital marketing or mar-tech metrics.

Profile Fit

This is a hands-on technical leadership role, best suited for someone who can independently design reliable ML systems, establish engineering standards and strengthen the team’s production capabilities. The role requires sound judgment across model performance, reliability, scalability and infrastructure cost.

About Us

Fluent, Inc. (NASDAQ: FLNT) is a commerce media solutions provider connecting top-tier brands with highly engaged consumers. Leveraging diverse ad inventory, robust first-party data, and proprietary machine learning, Fluent unlocks additional revenue streams for partners and empowers advertisers to acquire their most valuable customers at scale. Founded in 2010, Fluent uses its deep expertise in performance marketing to drive monetization and increase engagement at key touchpoints across the customer journey. For more insights visit: https://www.fluentco.com/

At Fluent, we like what we do, and we like who we do it with. Our team is a tight-knit crew of go-getters; we love to celebrate our successes! In addition, we offer a fully stocked kitchen, catered breakfast and lunch, and our office manager keeps the calendar stocked with activity-filled events. When we are not eating, working out, or planning parties, Fluent folks can be found participating in recreational sports leagues, networking with She Runs It, and bonding with across teams during quarterly outings to baseball games, fancy dinners, and pizza-making classes. And we have all the practical benefits, too…

Competitive compensation
Ample career and professional growth opportunities
Health, dental, and vision insurance
Pre-tax savings plans and transit/parking programs
401K with competitive employer match
Volunteer and philanthropic activities throughout the year
Educational and social events
The amazing opportunity to work for a high-flying performance marketing company!

Salary Range: $130,000 to $140,000 CAD plus competitive bonus - The base salary range represents the low and high end of the Fluent salary range for this position. Actual salaries will vary depending on factors including but not limited to location, experience, and performance.

Candidates may be at risk of targeting by malicious actors seeking personal information. Fluent recruiters will only reach out via LinkedIn or email with an @fluentco.com domain. Any outreach by Fluent via other sources (e.g. text, other domains etc) should be ignored.

Fluent participates in the E-Verify Program. As a participating employer, Fluent, LLC will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I-9 to confirm work authorization. Fluent, LLC follows all federal regulations including those set forth by The Office of Special Counsel for Immigration-Related Unfair Employment Practices (OSC). The OSC enforces the anti-discrimination provision (274B) of the Immigration and Nationality Act (INA), 8 U.S.C. 1324b.

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More about this job

Responsibilities

The Senior MLOps Engineer will co-own MLOps practices and establish standards for model deployment, scaling, and infrastructure efficiency. They will partner with ML scientists to operationalize models and build automated pipelines for training and testing.

Requirements

Candidates must have strong experience with Databricks and AWS-based ML workflows, along with proficiency in Python, SQL, and PySpark. Proven ownership of architecture for real-time, low-latency models and experience with ML lifecycle management tools are required.

Skills

MLOps
Databricks
AWS
Python
SQL
PySpark
MLflow
Delta Live Tables
CI/CD
Automated testing
Model deployment
Infrastructure optimization
Performance monitoring
Data engineering
Real-time modeling

Benefits

Health insurance
Dental insurance
Vision insurance
401k with employer match
Pre-tax savings plans
Transit and parking programs
Professional growth opportunities
Catered breakfast and lunch
Fully stocked kitchen

Remote locations

Toronto, Ontario, Canada

Remote locations (standardized)

Toronto, Ontario, Canada

Visa sponsorship

Not detected in the job text

Keywords

MLOps
Databricks
AWS
Python
SQL
PySpark
MLflow
Delta Live Tables
CI/CD
AdTech
Machine learning
Data engineering
Model serving
Infrastructure
Performance monitoring
Automation
Latency
Scalability
Data governance
Security
Compliance
Model observability
Stream processing
Mar-tech
Performance marketing

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