Machine Learning Engineer, Infra (MLOps) - CN
Core
Design, build, and operate scalable model training and deployment infrastructure for a Demand-Side Platform (DSP) handling billions of records across bidding, ranking, pacing, and fraud use cases.
Role type
Senior Machine Learning Engineer (MLOps/Infra)
Builds
Automated model training and orchestration pipelines, observability systems, and high-performance ML platforms for advertising recommendation systems.
Domain
Advertising technology, programmatic media, real-time bidding
Deliverable
production ML models
Required skills
Python, Spark, DevOps (CI/CD, IaC), workflow orchestration (Airflow/Prefect), ML experimentation and versioning, large-scale data pipelines, recommendation/ad-tech systems, PyTorch/TensorFlow, distributed training, online inference, model serving
Preferred skills
C++/Rust, probability/statistics, gRPC/REST, Kafka/Flink, Kubernetes/Ray, LLMs in advertising, on-prem open-source tools (Spark/ClickHouse/Redash)
Technologies
Python, Spark, Airflow, Prefect, PyTorch, TensorFlow, Kubernetes, Ray, Flink, Kafka, gRPC, MLflow, ClickHouse, Redash
Responsibilities
Design and maintain automated model training pipelines; develop standardized workflows for reproducibility and versioning; build observability systems for data quality and model anomalies; optimize distributed training and resource scheduling; collaborate with algorithm engineers on model implementation; stay current with ML infrastructure and LLM applications.
Seniority
Senior, hands-on IC
