Senior MLOps Engineer - Real-Time Serving (Databricks/AWS)

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

Benefits offered by this job

Health insurance

401K with employer match

Paid time off

Educational and social events

Job summary

Fluent, Inc. is seeking a Senior MLOps Engineer to own real-time ML serving infrastructure and CI/CD pipelines, primarily on Databricks and AWS, with a focus on scalable, cost-efficient production systems.

Based remotely in Canada, you will collaborate with ML scientists, data engineers and product teams to establish standards, mentor colleagues, and drive platform-wide best practices. The role offers CAD 130k–140k base with a competitive bonus, and a clear path toward senior technical

Qualifications

• Experience with Databricks and AWS-based ML workflows.
• Proficiency in Python, SQL and PySpark.
• Experience with ML lifecycle tools (MLflow, Delta Live Tables).
• Ownership of architecture and operations for real-time, low-latency model serving.

Responsibilities

• Operate models in Databricks and AWS.
• Build, monitor, and optimize ML pipelines for training, testing, deployment.
• Establish standards for versioning, testing, release controls, and monitoring.

Skills

Databricks

AWS

Python

SQL

PySpark

MLflow

Delta Live Tables

CI/CD

Monitoring

Tools

MLflow

Delta Live Tables

CI/CD tooling

Job description

Fluent, Inc. is seeking a Senior MLOps Engineer to own real-time ML serving infrastructure and CI/CD pipelines, primarily on Databricks and AWS, with a focus on scalable, cost-efficient production systems.

Based remotely in Canada, you will collaborate with ML scientists, data engineers and product teams to establish standards, mentor colleagues, and drive platform-wide best practices. The role offers CAD 130k–140k base with a competitive bonus, and a clear path toward senior technical