Senior MLOps Engineer – Real-Time Decisioning

Fluent, Inc

. Partner with ML scientists to operationalize models in Databricks and AWS .

Posted 11/6/2026full-timeRemote • CanadaSenior💰 CA$130,000 - CA$140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in operationalizing machine learning models using Databricks and AWS, with a strong focus on building and optimizing automated pipelines, model versioning, and performance monitoring. Proven ability to lead MLOps practices, mentor colleagues, and ensure efficient model deployment and infrastructure management.

Highest-signal resume keywords

DatabricksAWS-Based ML WorkflowsPythonCI/CDMLflow

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLPySparkAutomated TestingMonitoring SystemsModel Lifecycle ManagementModel VersioningPerformance MonitoringReal-Time Model ServingInfrastructure Efficiency

Soft Skills

CollaborationMentoringProblem Solving

Tools & Technologies

DatabricksAWSMLflowDelta Live Tables

Industry Keywords

MLOpsModel DeploymentModel ServingInfrastructure Cost ManagementAd Selection

Tech Stack

Tools & technologies

AWSPySparkPythonSQL

About the role

Key responsibilities & impact

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
Co-own MLOps practices at Fluent Media
Establish standards for model deployment, serving, scaling and infrastructure efficiency
Ensure models support accurate ad selection through reliable production systems at an optimal cost to serve
Collaborate with Data Engineering and Product

Requirements

What you’ll need

Based in Canada
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
Fluent recruiters will only reach out via LinkedIn or email with an @fluentco.com domain

Benefits

Comp & perks

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
Fully stocked kitchen
Catered breakfast and lunch
Activity-filled events
Recreational sports leagues
Networking with She Runs It
Quarterly outings to baseball games, fancy dinners, and pizza-making classes
Bonus compensation