Senior Machine Learning Engineer

Company: ProArch Consulting Services Private Limited
Location: Washington, Washington DC, United States
Type: Full-time
Posted: 23.MAY.2021
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Summary

We are a fintech infrastructure company that transforms documents into actionable data with over 99% accuracy. Powered by Artificial Intelli...

Description

We are a fintech infrastructure company that transforms documents into actionable data with over 99% accuracy. Powered by Artificial Intelligence and a unique, human-in-the-loop data validation process, We plugs directly into customer workflows via API, eliminating the need for manual data work. The solution includes built-in fraud detection and analytics, enabling customers to make smarter and faster business decisions with unprecedented precision.


Job Description:


We're looking for a senior ML and AI Engineer who is an expert with backend technologies but can operate at full-stack capacity if needed. We need someone with a strong and successful track record of solving hard problems using out-of-the-box thinking.


Job Location: New York


Responsibilities:


  • Build elegant solutions to challenges associated with analyzing financial documents
  • Improve our verification platform and use machine learning and other techniques to automate and intelligently default crowd/user tasks
  • Deploy new features on our core product and iterate on improvements
  • Give and receive constructive code reviews
  • Being a strong problem-solver with good communication and collaboration skills
  • Optimize applications for maximum speed and scalability
  • Be flexible, a self-starter, and a fast-learner


Requirements:


  • Masters degree in Computer Science or Electrical Engineering with a focus on Machine Learning and at least 3 years of related experience
  • Strong background in deploying machine learning models in large-scale production environments. Evidenced by relevant experience in one or more MLops specific areas: scalable systems (e.g. Spark, Hadoop), active learning/ self-learning systems.
  • Experience with computer vision and natural language processing in production environments.
  • Significant experience with Python or Java


Extra Credit:


  • Ph.D. or published research in machine learning
  • Active participation in ML meetups / professional groups
  • Contributions to OSS / Github profile
  • Experience with OCR engines

 
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