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职位预算: CNY 25,000-45,000
发布时间:
We seek an experienced AI Big Data Engineer to design, optimize, and maintain large-scale data platforms and ML pipelines for AI applications. Ideal candidates possess strong distributed systems knowledge and full-stack data engineering skills, enabling independent architecture of high-throughput, low-latency infrastructure supporting model training, feature engineering, and real-time inference. Key responsibilities: - Build batch-stream unified pipelines (Spark/Flink/Beam); - Implement Lakehouse architectures (Delta Lake/Iceberg/Hudi) for structured/unstructured data; - Develop production-grade feature platforms with offline/near-real-time computation, versioning, and A/B testing; - Partner with ML teams to optimize end-to-end training data supply chains (ingestion → cleaning → labeling → versioning → serving); - Orchestrate ML workflows via Airflow/Dagster/Kubeflow; - Establish observability (metrics, logging, tracing) for data quality and pipeline reliability;