🛠 Tech Stack

💼 About This Role

You'll design and implement end-to-end document intelligence pipelines on AWS, building production systems for processing multi-document PDFs at scale. Collaborate with data scientists and engineers to automate document type detection and field extraction. This role offers the chance to work on high-impact projects for Fortune 500 clients.

🎯 What You'll Do

• 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
• Own features from research through production deployment and monitoring

📋 Requirements

• 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, multi-modal models, and production deployment using AWS Bedrock or Azure OpenAI APIs

✨ Nice to Have

• 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 working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)

🎁 Benefits & Perks

• 🏖️ Remote flexibility
• 📚 Ongoing learning reimbursement
• 💪 Well-being program
• 🏥 Medical healthcare
• 💰 Referral bonuses

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Offer· 30 min