Machine Learning Engineer, Infra (MLOps)
Beijing, China [Hybrid]
R
CNY 435K-540K (estimate) Mid-level Full Time
Tasks
- Build model training infrastructure
- Collaborate on recommendation ranking and ad serving models
- Deploy and serve online inference models
- Design ML infrastructure for recommendation systems
- Develop standardized training workflows
- Ensure model experimentation reproducibility and versioning
- Implement CI CD and automated testing for ML pipelines
- Operate observability and monitoring systems
- Optimize distributed training and resource scheduling
- Orchestrate automated model training pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Apache Spark | Automated testing | CI/CD | Dataset Management | Distributed Computing | Distributed Training | Feature Engineering | Flink | GPU Optimization | GRPC | High Performance | High-Performance Computing | Infrastructure as Code | Kafka | Kubernetes | LLM | MLflow | Model Serving | Model versioning | Online Inference | Performance Computing | Prefect | Probability | PyTorch | Python | REST | Ray | Recommendation Systems | Statistics | TensorFlow | Workflow Orchestration | “as-code”
Education
N/A
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