Senior Machine Learning Engineer
Tasks
- Build intelligent document processing pipelines
- Communicate technical tradeoffs to stakeholders
- Create evaluation harnesses for LLM and retrieval
- Deploy and monitor AI services
- Design RAG applications
- Develop serverless ingestion pipelines
- Implement AI security and responsible AI controls
- Integrate amazon bedrock models
- Mentor engineers and establish evaluation standards
- Troubleshoot end to end system performance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS IAM | AWS Lambda | AWS Step Functions | Amazon Aurora | Amazon Aurora PostgreSQL | Amazon Bedrock | Amazon CloudWatch | Amazon S3 | Amazon Textract | Artificial Intelligence | Aurora PostgreSQL | CI/CD | Computer Vision | Docker | Document processing | ECS | Embeddings | Evaluation | Git | Guardrails | Intelligent Document Processing | LLMOps | Language Models | Language Processing | Large Language Models | Machine Learning | Model versioning | Natural Language | Natural Language Processing | OCR | Observability | PGVector | PostgreSQL | Prompt injection | Prompt injection mitigation | Python | Retrieval-Augmented Generation | Step Functions | Structured Logging | Tracing | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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