FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Senior MLOps Engineer – AdTech
Fluent, Inc. Partner with ML scientists to operationalize models in Databricks and AWS .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in operationalizing machine learning models using Databricks and AWS, with a strong focus on building and optimizing automated pipelines, ensuring model performance, and adhering to MLOps best practices. Proven ability to lead investigations, mentor colleagues, and establish engineering standards in a collaborative environment.
Highest-signal resume keywords
DatabricksAWS-Based ML WorkflowsPythonCI/CDMLflow
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPySparkAutomated TestingMonitoring SystemsModel Lifecycle ManagementReal-Time Model ServingStream ProcessingModel ObservabilityModel ExplainabilityData Governance
Soft Skills
CollaborationMentoringProblem SolvingOwnershipCommunication
Tools & Technologies
Delta Live TablesDashboardsProduction SystemsMLOps PracticesInfrastructure Efficiency
Industry Keywords
Digital MarketingMar-Tech MetricsCloud EnvironmentsSecurityCompliance
Tech Stack
Tools & technologiesAWSCloudPySparkPythonSQL
About the role
Key responsibilities & impact- 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
- Co-own MLOps practices at Fluent Media
- Establish standards for model deployment, serving, scaling and infrastructure efficiency
- Work with ML scientists, Data Engineering and Product to support accurate ad selection through reliable production systems at an optimal cost to serve
Requirements
What you’ll need- Based in Canada
- Strong experience with Databricks 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
- 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
Benefits
Comp & perks- 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
- Fully stocked kitchen
- Catered breakfast and lunch
- Activity-filled events
- Recreational sports leagues
- Networking with She Runs It
- Quarterly outings to baseball games, fancy dinners, and pizza-making classes