Fluent

Senior MLOps Engineer (Real-Time Decisioning)

Canada full-time Senior CAD130,000 - CAD140,000
full-time Senior level Technology & IT Salary listed Curated
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About the role

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.

Requirements

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:
Benefits
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.
Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Senior
Technology & IT Administration Digital Marketing MySQL Operations Python Senior level

Likely questions

  1. Tell us about work you have done that is close to the Senior MLOps Engineer (Real-Time Decisioning) role.
  2. How would you approach your first 30 days at Fluent?
  3. Which of Administration, Digital Marketing and MySQL have you used recently, and what did it help you achieve?
  4. How have you led people, improved a process, or made a hard decision in a previous role?
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Administration, Digital Marketing and MySQL.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior MLOps Engineer (Real-Time Decisioning) role because I can bring practical experience in Administration, Digital Marketing and MySQL, learn the team quickly, and contribute to the outcomes Fluent needs from this hire.

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