ML Ops Engineer (Databricks)

Fluent; Canada; Remote; CAD 90,000 - 100,000; Full time

Job summary

A commerce media solutions provider is seeking an ML Ops Engineer to operationalize machine learning workflows. The role includes partnering with ML scientists, optimizing pipelines, and maintaining ML infrastructure. Candidates should have strong skills in Databricks, AWS, Python, and CI/CD practices. Competitive compensation and ample growth opportunities offered.

Benefits

Competitive compensation

Health, dental, and vision insurance

Retirement Savings Plan with employer match

Qualifications

• Strong experience with Databricks and AWS-based ML workflows.
• Proficiency with Python, SQL, PySpark and related ML/data engineering toolsets.
• Experience with CI/CD and monitoring systems.

Responsibilities

• Partner with ML scientists to operationalize models in Databricks and AWS.
• Build, monitor, and optimize pipelines for training, testing, and deployment.
• Troubleshoot and resolve issues across the ML lifecycle.

Skills

Databricks

AWS

Python

SQL

PySpark

CI/CD

Problem-solving

Tools

MLflow

Delta Live Tables

Job description

Overview

We are seeking an ML Ops Engineer to join our data and machine learning team. This role will focus on enabling, operationalizing, and maintaining our machine learning workflows. While senior ML scientists and data scientists lead model development, this role ensures those models are successfully deployed, tested, and maintained in production environments.

Responsibilities

• Partner with ML scientists to operationalize models in Databricks and AWS.
• Build, monitor, and optimize pipelines for training, testing, and deployment.
• Establish systems for model versioning, automated testing, and performance monitoring.
• Manage infrastructure for scaling workloads and maintaining reliability.
• Troubleshoot and resolve issues across the ML lifecycle.
• Document processes and create repeatable, automated workflows.
• Creating and maintaining complex data dashboards with sophisticated datasets and calculations

Qualifications

• Strong experience with Databricks (preferred) and AWS-based ML workflows.
• Proficiency with Python, SQL, PySpark and related ML/data engineering toolsets.
• Familiarity with ML lifecycle management tools (MLflow, Delta Live Tables, etc.).
• Experience with real-time, live low latency, mission critical relevancy models and serving endpoints.
• Hands-on experience with CI/CD and monitoring systems.
• Strong problem-solving and collaboration skills to work closely with ML scientists and engineers.
• Experience reviewing code in pull requests, offering and receiving constructive feedback for optimization and best practices

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 supporting, enablement-focused role — best suited for someone who thrives at building reliable systems, operational excellence, and ensuring that data science innovations can be delivered consistently into production.

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 lunch, and our office manager keeps the calendar stocked with activity-filled events. When we’re not eating, working out, or planning parties, Fluent folks can be found participating in networking events, and bonding across teams during quarterly outings to baseball games, fancy dinners, and a variety of activities. And we have all the practical benefits, too…

• Competitive compensation
• Ample career and professional growth opportunities
• New Headquarters with an open floor plan to drive collaboration
• Health, dental, and vision insurance
• Pre-tax savings plans and transit/parking programs
• Retirement Savings Plan 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: $90,000 to $100,000 CAD + 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.