模型运维负责人-CQC
Core
Lead the strategic planning and technical execution for a large-scale live-streaming content safety business, evolving from single-point recognition to an end-to-end risk judgment system using LLMs, VLMs, and Agents.
Role type
Senior IC/Lead Machine Learning Engineer (Large Model Application & Operations)
Builds
End-to-end risk judgment systems for content understanding, risk identification, governance decision-making, and automated disposal.
Domain
Live streaming content safety, Large Language Models (LLM), Risk Management
Deliverable
production ML models
Required skills
LLM/VLM/Embedding/RAG/Agent architecture, Prompt Engineering, SFT, LoRA/PEFT, GRPO/RLHF, Model Distillation, Model Fusion, vLLM/SGLang, Python, Transformer principles, Data Analysis, Feature Engineering
Preferred skills
Harness Self-Evolving, Agentic RL, MCP, Guardrail体系建设, Automated Evaluation/Benchmarking
Technologies
Python, PyTorch, TensorFlow, vLLM, SGLang, SQL, Hadoop, Spark
Responsibilities
Define technical roadmaps and goals for large model applications; Build and manage the team (algorithms, strategy, evaluation engineers); Establish evaluation systems and quality assurance mechanisms; Lead model safety and data closed-loop construction; Coordinate cross-team collaboration for production deployment.
