MLOps Engineer
Core
Building and maintaining scalable, low-latency machine learning systems for programmatic advertising, handling billions of requests daily.
Role type
MLOps Engineer
Builds
In-house machine learning platform covering data pipelines, model training, serving, and monitoring for real-time advertising.
Domain
Programmatic advertising, real-time bidding (RTB), large-scale distributed systems.
Deliverable
production ML models
Required skills
Java, Python, algorithms and data structures, system design, pipeline optimization, metrics definition, technology evaluation
Preferred skills
online advertising technology, RTB, LLMs, AI coding assistants
Technologies
Java, Python
Responsibilities
Design and develop data pipeline components for ML models, collaborate with Data Scientists to translate research to production, optimize throughput and latency of ML components, evaluate new technologies, define metrics for solution impact.
Seniority
Mid-level, hands-on IC
