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Fluent

Performance-based commerce media advertising platform

Senior MLOps Engineer - AdTech

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRemote in CanadaRemote

About the Job

Requirements

  • Strong experience with Databricks and AWS-based machine-learning workflows.
  • Proficiency with Python, SQL, PySpark, and related machine-learning and data-engineering tools.
  • Experience with machine-learning lifecycle management tools such as MLflow and Delta Live Tables.
  • 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.

Responsibilities

  • 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 machine-learning 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.

Desired Qualifications

  • 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.

About the Company

Fluent

Performance-based commerce media advertising platform

Fluent is a commerce media solutions provider delivering performance-based digital marketing to help brands acquire customers. It uses first-party data from opted-in users and a 200-million-strong identity graph to target high-intent audiences and offer real-time, personalized deals, including its adflow product that places ads on retailers’ post-purchase pages. The company differentiates itself with exclusive ad inventory, strategic retail and media partnerships, and a pay-for-performance model that goes beyond traditional digital ads. Its goal is to help brands monetize the customer journey and achieve measurable outcomes across industries such as retail, media, finance, and health sciences.

Company size
201-500
Company stage
IPO
Headquarters
New York City, New York
Founded
2010

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