Machine Learning Engineer III, Metadata Extraction
Tasks
- Contribute to scalable services and pipelines for real time and batch workloads
- Create technical designs documentation tests and operational runbooks
- Design deploy and maintain production LLM agents
- Develop data preparation pipelines prompt and tool design and agentic workflows
- Evaluate improve agent quality using offline and online metrics
- Investigate and resolve production ML issues
- Monitor production ML systems quality reliability latency cost and drift
- Participate in on call rotation and triage production issues
- Write production Python code with tests and documentation
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | BigQuery | CI/CD | Cloud Computing | Cost Optimization | Data Drift | Distributed Systems | Kubernetes | LLM Agents | Langchain | Langgraph | Language Models | Large Language Models | Latency optimization | MLOps | Machine Learning | Model Drift | NumPy | Observability | Pandas | Prompt engineering | PyTorch | Pydantic | Python | RAG | Retrieval-Augmented Generation | SQL | Terraform | Testing
Education
N/A
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