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Position Details
- Build and improve scalable MLOps and AI production pipelines
- Create annotation and model evaluation workflows
- Work with tools like Label Studio and Scale AI
- Develop ground truth datasets and golden sets
- Improve model quality, performance, latency, and cost-efficiency
- Implement model monitoring, versioning, and evaluation frameworks
- Build model-as-a-judge and PII scrubbing solutions
- Develop Python scripts, APIs, and integrations
- Collaborate closely with Data Science, Engineering, and DevOps teams
- Integrate ML solutions within AWS and GCP environments
- Support scalable vector embeddings and Generative AI ecosystems
Technologies:
- Python
- AWS
- SageMaker
- S3
- GCP
- Vertex AI
- Label Studio
- Scale AI
- APIs
- MLOps
- Gene...