Задачи
•Design and implement end-to-end document intelligence pipelines on AWS
•Develop and optimize ML models for document classification, segmentation, and field extraction
•Build scalable data processing systems handling PDFs up to 2000 pages
•Collaborate with subject matter experts to create and refine requirements for extraction
•Own features from research through production deployment and monitoring
•Establish evaluation frameworks and quality metrics for extraction accuracy
Требования
•Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
•Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)
•Advanced knowledge of SQL and Data Modeling
•Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
•Experience in experiment design (power analysis and hypothesis testing)
•Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
•Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
•Experience owning a feature from concept to production, including proposal, discussion, and execution
•Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems)
•Experience with PDF and Image processing libraries (e.g. PyMuPDF, opencv, pillow)
•Experience in Machine Learning/Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building model pipelines, using Machine Learning tools/libraries/frameworks)
•Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
•English Level: Upper-intermediate
Условия
We're an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what's next.
This project is with the leading provider of vehicle lifecycle solutions, headquartered in Chicago, enabling companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies, connecting a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers.
Exadel benefits vary by location and contract type; your recruiter will fill you in on the details:
•International projects
•In-office, hybrid, or remote flexibility
•Medical healthcare
•Recognition program
•Ongoing learning & reimbursement
•Well-being program
•Team events & local benefits
•Sports compensation
•Referral bonuses
•Top-tier equipment provision
