Senior/Lead Machine Learning Engineer
Tasks
- Build scalable PDF processing systems
- Collaborate with subject matter experts on requirements
- Create evaluation frameworks and quality metrics
- Deploy and monitor ML features in production
- Design document intelligence pipelines
- Develop ML models for classification and field extraction
Perks/Benefits
- Hybrid flexibility
- International projects
- Medical healthcare
- Ongoing learning reimbursement
- Recognition program
- Referral bonuses
- Remote flexibility
- Team events
- Top tier equipment provision
- Well-being program
Skills/Tech-stack
AWS Bedrock | AWS CDK | AWS CloudFormation | AWS EMR | AWS Glue | AWS Lambda | AWS Redshift | AWS S3 | AWS SageMaker | AWS Step Functions | Amazon Textract | Azure Document Intelligence | Azure OpenAI | Azure OpenAI API | Computer Vision | Document Intelligence | Experiment design | Feature Engineering | Hyperparameter Tuning | Hypothesis Testing | Machine Learning | Model Training | Multi-Modal | Multi-modal Models | OpenAI API | OpenCV | Pandas | Pillow | Power analysis | Prompt engineering | PyMuPDF | PyTorch | Pydantic | Python | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | Step Functions | Supervised Learning | TensorFlow | Unsupervised Learning
Education
N/A
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