Senior Machine Learning Engineer – AI & MLOps Specialist
Core
Build, deploy, and maintain production-grade machine learning services and specialized tools for the advertising industry.
Role type
Senior Machine Learning Engineer (MLOps)
Builds
Scalable ML services, model packaging, deployment strategies, and operational stability tools for advertising use cases.
Domain
Advertising / AdTech
Deliverable
production ML models
Required skills
Python, SQL, MLOps, CI/CD pipelines, SRE principles, cloud platform management, containerized operations, model monitoring, microservice architecture
Preferred skills
AdTech/ranking/recommendation systems, distributed data pipelines, cross-language model integration
Technologies
BigQuery, Cloud Storage, GCP, Vertex AI, Linux, Windows
Responsibilities
Build and maintain scalable ML services; orchestrate ML engineering workflows; collaborate with Data Science teams to productionize models; implement automated monitoring and incident troubleshooting; leverage cloud platforms for high-scale workloads; apply MLOps practices for model lifecycle automation; enhance engineering productivity with AI-assisted tools; follow DevOps/SRE principles for system reliability.
Seniority
Senior, hands-on IC
