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This listing was closed on Jul 17, 2026.
Browse Open JobsMachine Learning Engineer
Summary by AIEngineer.careers
Machine Learning Engineer is a Machine Learning Engineer role (contract). with Filevine. in PRAHA, CZ. Imported listing (source: cz.linkedin.com). Apply on the employer's site (cz.linkedin.com).
Imported listing (source: cz.linkedin.com) · Apply on cz.linkedin.com
PRAHA · CZ
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Contract
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from cz.linkedin.com
Filevine, a Legal AI company, seeks a Machine Learning Engineer to design and deploy NLP models for medical summarization, credibility analysis, and contradiction detection. You will improve transcription pipelines, collaborate with full-stack engineers, and drive innovation in NLP within legal and medical domains.
Responsibilities
- Develop and improve NLP models for tasks such as medical summarization, credibility analysis, and contradiction detection
- Continuous improvement of our automatic transcription pipeline and automation of internal processes using AI
- Ensure high accuracy, stable processes, and optimized infrastructure/monitoring around the models
- Effectively communicate technical machine learning results in a business context
- Collaborate with our full-stack engineering team to ensure seamless implementation of ML models in production
- Promote excellence and best practices across the machine learning team in research, implementation, tooling, and system design
- Conceptualize and implement new ML ideas in the NLP domain, from validation to production
Requirements
- Good communication and writing skills in English
- At least 3 years of experience in machine learning roles involving end-to-end ownership of projects
Filevine
Salt Lake City · US · 850+ employees
Filevine is a legal technology platform that provides case management, AI-driven document management, and workflow automation for law firms and legal teams. It serves as a central system of record for legal professionals.
