Machine Learning Engineer at Filevine | Prague
FilevinePrague
On-site Contract
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Experience Level
Experience
Qualifications
Qualifications:Experience with NLP model development and implementation. Proficiency in Python and familiarity with frameworks such as PyTorch. Knowledge of cloud services, particularly AWS. Strong analytical skills and a proactive approach to problem-solving. Ability to work collaboratively in a fast-paced environment.
Join Filevine, a pioneering Legal AI company redefining the future landscape of legal work through our innovative Legal Operating Intelligence (LOIS) platform. Our unique system integrates data, documents, workflows, and teams into a cohesive environment where legal professionals can operate with exceptional clarity and efficiency.
With LOIS at its core, Filevine empowers legal professionals by transforming operations from reactive to proactive, utilizing advanced capabilities to comprehend and analyze data. Our award-winning technology, recognized by Deloitte and Inc., continues to earn accolades for innovation and rapid growth. Collaborate with a dynamic team of visionaries and innovators dedicated to reshaping the legal field.
Role Overview:
As a Machine Learning Engineer at Filevine, you will spearhead the design and implementation of advanced NLP models for applications such as medical summarization, credibility assessment, and contradiction detection. Your role will also involve enhancing our transcription pipelines and automating internal AI processes. Collaborate closely with engineering teams to integrate these models into production, ensuring optimal system stability and accuracy while driving forward-thinking advancements in NLP, particularly in the legal and medical sectors, utilizing tools such as Python, PyTorch, and AWS.
About Filevine
Filevine is at the forefront of Legal AI innovation, providing a comprehensive platform that enhances the efficiency and effectiveness of legal workflows. Our mission is to empower legal professionals with insights and tools that simplify complex processes and enhance decision-making.
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