Senior MLOps Engineer (AdTech)
Core
Co-own MLOps practices to establish standards for model deployment, serving, scaling, and infrastructure efficiency, ensuring models support accurate ad selection through reliable production systems.
Role type
Senior hands-on IC MLOps Engineer
Builds
Automated pipelines for training, testing, and deployment; model-serving infrastructure; dashboards for performance and cost tracking
Domain
AdTech / Performance Marketing / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, SQL, PySpark, Databricks, AWS, MLflow, Delta Live Tables, CI/CD, automated testing, performance monitoring, architecture design, production troubleshooting, code review, mentoring
Preferred skills
Data governance, security, compliance, model observability, explainability, stream processing, near-real-time pipelines, digital marketing metrics
Responsibilities
Partner with ML scientists to operationalize models; Build and optimize automated pipelines; Establish standards for versioning, testing, and release controls; Design and scale model-serving infrastructure; Lead investigations and resolve complex production issues; Create and maintain dashboards for model performance and cost
Seniority
Senior, hands-on IC
