Senior Machine Learning Engineer
Core
Designing and implementing complex document intelligence pipelines on AWS to classify, segment, and extract fields from documents up to 2000 pages.
Role type
Senior Machine Learning Engineer (Document Intelligence)
Builds
Scalable data processing systems and production ML models for document understanding
Domain
Fintech, Medtech, Edutech, Industrial Automation
Deliverable
production ML models
Required skills
Python (Native, Pandas, ScikitLearn, TensorFlow/PyTorch), AWS ML tools (SageMaker, Lambda, CloudFormation/CDK, Step Functions), SQL, GenAI (prompt engineering, RAG, multimodal models), AWS Bedrock/Azure OpenAI API, experimental design
Preferred skills
Document processing tools (AWS Textract, Azure Document Intelligence), PDF/image libraries (PyMuPDF, OpenCV, Pillow), Data Science (feature engineering, hyperparameter tuning)
Technologies
AWS, SageMaker, Lambda, CloudFormation, CDK, Step Functions, TensorFlow, PyTorch, Python, SQL, AWS Bedrock, Azure OpenAI API
Responsibilities
Design and implement document intelligence pipelines; Develop and optimize ML models for classification, segmentation, and field extraction; Build scalable data processing systems; Collaborate with subject matter experts to define extraction requirements; Lead feature functions from research to production and monitoring; Establish evaluation frameworks and quality metrics
Seniority
Senior, hands-on IC
