For one of our clients – we are looking for: Senior Machine Learning Developer – REMOTE
What YOU will 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
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
Your skills:
Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
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
Nice to have
Experience with AWS tools for ML Engineering and ML deployment
Experience with document processing tools (AWS Textract, Azure
Document Intelligence, or similar OCR/layout detection systems
Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
If this sounds like you – Apply now!
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