Senior MLOps Engineer (AdTech)

Fluent, LLC

Toronto

Sur place

CAD 130 000 - 140 000

Plein temps

Il y a 3 jours
Soyez parmi les premiers à postuler

Une candidature complète en une minute

Un CV et une lettre de motivation personnalisés, prêts à envoyer.

Passez les filtres ATS

Avantages offerts par ce poste

Competitive compensation
Career growth opportunities
Health, dental, and vision insurance
Pre-tax savings plans and transit/park
401K with employer match
Volunteer activities

Résumé du poste

Fluent, Inc. in Canada is seeking a Senior MLOps Engineer to co-own MLOps practices, establish deployment standards, and optimize model serving and infrastructure costs. You will partner with ML scientists, data engineering and product teams to ensure reliable production systems for accurate ad selection.

The role emphasizes hands-on design, scalable pipelines, and mentoring colleagues in MLOps best practices, with a focus on latency, reliability, and cost efficiency.

Qualifications

  • Experience operationalizing models in Databricks and AWS.
  • Strong Python, SQL and PySpark proficiency.
  • Experience with ML lifecycle tools such as MLflow and Delta Live Tables.
  • Ownership of architecture and operations for real-time, low-latency serving.
  • Hands-on CI/CD, automated testing and monitoring experience.
  • Able to mentor colleagues and collaborate across teams.

Responsabilités

  • 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.

Connaissances

Databricks
AWS
Python
SQL
PySpark
CI/CD
Monitoring
MLOps
Model serving
Team leadership

Outils

Delta Live Tables
MLflow

Description du poste

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.
  • 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: 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 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.

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.

Obtenez votre examen gratuit et confidentiel de votre CV.

ou faites glisser et déposez votre fichier ici.

Similar jobs

Postes similaires à comparer

Senior MLOps Engineer (AdTech)
Senior MLOps Engineer (AdTech)

Fluent • Toronto

Sur place
CAD 130 000 - 140 000
Health insurance
Dental insurance
Vision insurance
+4
Senior MLOps Engineer (Real-Time Decisioning)
Senior MLOps Engineer (Real-Time Decisioning)

Fluent • Toronto

Sur place
CAD 130 000 - 140 000
Competitive compensation
Career growth opportunities
Health, dental, and vision insurance
+3
Senior MLOps Engineer (Real-Time Decisioning)
Senior MLOps Engineer (Real-Time Decisioning)

Fluent, LLC • Toronto

Sur place
CAD 130 000 - 140 000
Competitive compensation
Career growth opportunities
Health, dental, and vision insurance
+5
Software Engineer (AI Agents)
Software Engineer (AI Agents)

Fluent • Toronto

À distance
CAD 130 000 - 155 000
Health, dental, vision insurance
401K with employer match
Paid time off and vacation policy
+1
Software Engineer (AI Agents)
Software Engineer (AI Agents)

Fluent, LLC • Toronto

À distance
CAD 130 000 - 155 000
Health, dental, and vision insurance
401K with employer match
Pre-tax savings plans and transit/park
MLOps / Data Engineer
MLOps / Data Engineer

Jobgether • Quebec

Hybride
CAD 100 000 - 125 000
Remote work from Canada
4 weeks vacation + 5 personal days
Health insurance
+4
Senior MLOps Engineer — Databricks & AWS
Senior MLOps Engineer — Databricks & AWS

Fluent, LLC • Toronto

Sur place
CAD 130 000 - 140 000
Competitive compensation
Career growth opportunities
Health, dental, and vision insurance
+5
MLOps / Data Engineer
MLOps / Data Engineer

Triton Digital Canada Inc. • Quebec

Hybride
CAD 100 000 - 125 000
Fully remote (Ontario or Quebec)
4 weeks vacation + 5 personal days
Group insurance from day one
+2
Data Scientist & Machine Learning Engineer
Data Scientist & Machine Learning Engineer

Identity Digital Inc. • Toronto

Sur place
CAD 87 000 - 114 000
Senior MLOps & Cloud Engineer (AWS / SageMaker)
Senior MLOps & Cloud Engineer (AWS / SageMaker)

Randstad Digital • Toronto

Hybride
CAD 117 000 - 143 000
Hybrid work model