Senior/Lead Machine Learning Engineer
Tasks
- Build scalable data processing systems for PDFs
- Collaborate with subject matter experts to refine extraction requirements
- Define quality metrics for extraction accuracy
- Design and implement document intelligence pipelines on AWS
- Develop and optimize machine learning models for document classification
- Develop and optimize machine learning models for field extraction
- Develop and optimize machine learning models for segmentation
- Establish evaluation frameworks for extraction accuracy
- Monitor model performance in production
- Own features from research through production deployment
Perks/Benefits
- Medical healthcare
- Ongoing learning reimbursement
- Recognition program
- Remote work flexibility
- Team events and local benefits
- Top tier equipment provision
- Well-being program
Skills/Tech-stack
AWS Bedrock | AWS CDK | AWS CloudFormation | AWS Lambda | AWS SageMaker | AWS Step Functions | Amazon S3 | Azure OpenAI | Azure OpenAI API | Data Modeling | Document Classification | Experiment design | Field extraction | GenAI | Hypothesis Testing | Machine Learning | Multimodal Models | OpenAI API | Pandas | Power analysis | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | SciKitLearn | Segmentation | Step Functions | TensorFlow
Education
N/A
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