Senior/Lead Machine Learning Engineer
Tasks
- Build scalable data processing systems for PDFs
- Collaborate with subject matter experts on extraction requirements
- Create evaluation frameworks for extraction accuracy
- Define quality metrics for extraction accuracy
- Deploy machine learning features to production
- Design document intelligence pipelines
- Develop machine learning models for document classification
- Develop machine learning models for field extraction
- Develop machine learning models for segmentation
- Monitor model and pipeline performance
Perks/Benefits
- Hybrid work
- Medical healthcare
- Ongoing learning reimbursement
- Recognition program
- Remote flexibility
- Team events
- Top tier equipment provision
- Well-being program
Skills/Tech-stack
AWS Bedrock | AWS CDK | AWS CloudFormation | AWS Glue | AWS Lambda | AWS Redshift | AWS SageMaker | AWS Step Functions | AWS Textract | Amazon S3 | Azure Document Intelligence | Azure OpenAI | Data Modeling | Document Intelligence | EMR | Experiment design | Feature Engineering | Hyperparameter Tuning | Hypothesis Testing | Machine Learning | Multimodal Models | OCR | OpenCV | PDF Processing | Pandas | Pillow | Power analysis | Prompt engineering | PyMuPDF | PyTorch | Pydantic | Python | RAG | Retrieval-Augmented Generation | SQL | SciKitLearn | Step Functions | Supervised Learning | TensorFlow | Unsupervised Learning | Vision
Education
N/A
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