Senior/Lead Machine Learning Engineer
Tasks
- Collaborate with subject matter experts on extraction requirements
- Design end to end document intelligence pipelines
- Develop machine learning models for document classification segmentation and field extraction
- Establish evaluation frameworks and quality metrics
- Optimize PDF data processing systems
- Own features from research through production deployment and monitoring
Perks/Benefits
- Hybrid work option
- International projects
- Medical healthcare
- Ongoing learning reimbursement
- Recognition program
- Referral bonuses
- Remote work flexibility
- Sports compensation
- Team events
- Top tier equipment provision
- Well-being program
Skills/Tech-stack
AWS CDK | AWS CloudFormation | AWS Glue | AWS Lambda | AWS Step Functions | AWS Textract | Amazon Bedrock | Amazon EMR | Amazon Redshift | Amazon S3 | Amazon SageMaker | Azure Document Intelligence | Azure OpenAI | Data Modeling | Document Intelligence | Experiment design | Feature Engineering | Hyperparameter Tuning | Hypothesis Testing | Machine Learning | Multi-Modal | Multi-modal Models | OCR | OpenCV | Pandas | Pillow | Power analysis | Prompt engineering | PyMuPDF | PyTorch | Pydantic | Python | Retrieval-Augmented Generation | SQL | SciKitLearn | Step Functions | Supervised Learning | TensorFlow | Unsupervised Learning
Education
N/A
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