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Senior Machine Learning Developer

RecruityTalent · Remote — United States

Remote
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Job overview

Location
Remote — United States
Workplace
Remote
Employment type
Full-time
Experience level
Senior
Date posted
Oct 11, 2026
Last checked at the source
Oct 13, 2026
Job source
via Himalayas

Responsibilities

• 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

Skills

Visa and relocation

The posting doesn't mention visa sponsorship. Check the original posting or ask the company.

The posting doesn't mention relocation.

Job description

Category: Research & Development Location: Date: 14 September 2026 RecruityTalentis a Recruitment agency, supporting startups and enterprises in Bulgaria, EMEA and LATAM by connecting them with top talent. RecruityTalent is your trusted hiring partner. For one of our clients - we are looking foraSenior Machine Learning Developer. Work model: Remote, Bulgaria 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 • 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 What You Bring: • 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 ability 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! You can trust that as a GDPR-compliant agency, we uphold the highest standards of data confidentiality, ensuring all candidate information is securely stored and managed in full accordance with local GDPR regulations. Protecting privacy remains our top priority throughout the recruitment process. RecruityTalent holds Recruitment License No. No. 3836, guaranteeing full compliance with industry standards and legal requirements. Details Originally posted on Himalayas Machine-Learning-Developer, Machine-Learning-Engineer, AI-Engineer, Data-Engineer, Senior-AI-ML-Developer, Senior-ML-Engineer, Senior-Machine-Learning, Senior-Python-Developer-AI-ML, Senior-AI-ML-Engineer
Apply on the original site ↗Job source: via Himalayas

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