Remoteville

Remote Machine Learning Engineer Job in Indiana, United States Docsumo 📄

Machine Learning Engineer Docsumo 📄
Computer ScienceData ScienceDatabasesDatasetsMathematicsNosqlNumpyPattern RecognitionStatistical LearningStatistics
Junior (1-2 years) - Mid-level (3-4 years)
IndianaUnited States


Document AI software to make accurate decisions from unstructured documents.
90+ employees
Artificial IntelligenceData AnalysisSaaSProductivity


Role


Who you are

  • Minimum 2 years experience in machine learning or related fields such as data science or information retrieval.
  • Proficiency in Python and experience with ML libraries like TensorFlow Keras and Numpy.
  • Hands-on experience with at least one database system and practical knowledge of SQL/NoSQL databases.
  • Ability to work cooperatively within a team and make quick decisions in high-pressure environments.

Desirables

  • TensorFlow
  • Keras
  • Numpy
  • Git
  • OpenCV



What the job involves

  • Deploy state-of-the-art machine learning models developed by our Data Scientists.
  • Work directly with the CTO to create end-to-end API products targeting the US market.
  • Collaborate with our Machine Intelligence team to incubate and develop new capabilities from initial concept to fully functional applications.
  • Design and build systems processing visual data such as PDFs and images of documents.


Application process

  • Submit application
  • Initial screening
  • Technical interview
  • Final interview with CTO

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Company


Company mission

Docsumo is dedicated to transforming unstructured documents into structured, actionable data using cutting-edge Document AI technology. By leveraging advanced machine learning algorithms, we empower enterprises to efficiently capture and analyze vital information from documents like invoices, ID cards, and bank statements, enhancing their decision-making and operational efficiency.




Company benefits

  • Opportunity to learn and develop new skills
  • Collaborative and innovative team environment
  • Flexible work policies
  • Global scalability opportunities



Company values

  • Innovation
  • Collaboration
  • Integrity
  • Customer-centric



Company HQ

New York
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