Senior MLOps Engineer — Remote (Canada)

Fluent, LLC; United States; Remote; USD 92,000 - 99,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

Pre-tax savings plans

Transit/parking programs

401K with employer match

Educational and social events

Volunteer opportunities

Job summary

Fluent, Inc. is seeking a Senior MLOps Engineer (remote) based in Canada to co-own MLOps practices, deploy reliable production ML systems, and mentor the data/ML team. You will partner with ML scientists, data engineering, and product to optimize model deployment and cost-to-serve while upholding engineering standards.

You will lead pipelines for training and deployment, design scalable serving infra, and monitor performance and cost, enabling accurate ad selection and scalable ML operations.

Qualifications

• Strong experience with Databricks and AWS-based ML workflows.
• Proficiency with Python, SQL, PySpark, and ML/data engineering tools.
• Experience with ML lifecycle tools such as MLflow and Delta Live Tables.
• Ownership of architecture and operations for real-time, low-latency model serving.
• Hands-on CI/CD, automated testing, and monitoring systems.
• Ability to independently resolve production challenges and collaborate cross-functionally.
• Experience reviewing PRs, setting engineering standards, and mentoring teammates.

Responsibilities

• Collaborate 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, testing, release controls, and monitoring.
• Design and scale model-serving infrastructure for latency, reliability, and cost.
• Lead investigations and resolve complex production issues across the ML lifecycle.
• Document repeatable workflows, review designs, and mentor colleagues in MLOps best practices.
• Create dashboards to track model performance, reliability, and infra costs.

Skills

Databricks

AWS workflows

Python

SQL

PySpark

MLflow

Delta Live Tables

CI/CD

Monitoring systems

Productions issues

Tools

Databricks

AWS

Python

MLflow

Delta Live Tables

CI/CD pipelines

Job description

Fluent, Inc. is seeking a Senior MLOps Engineer (remote) based in Canada to co-own MLOps practices, deploy reliable production ML systems, and mentor the data/ML team. You will partner with ML scientists, data engineering, and product to optimize model deployment and cost-to-serve while upholding engineering standards.

You will lead pipelines for training and deployment, design scalable serving infra, and monitor performance and cost, enabling accurate ad selection and scalable ML operations.