Capsilon is the leader in cloud-based intelligent process automation for the mortgage industry and our technology transforms the speed and economics of the mortgage production process. Capsilon gives mortgage originators, servicers and correspondents a disruptive advantage by making it possible to deliver mortgages at the highest velocity and at a new cost structure with the utmost integrity. Headquartered in San Francisco, Capsilon serves many of the mortgage industry’s most innovative companies, including two of the 10 largest residential mortgage lenders in the United States. For more information, visit www. capsilon.com. We are looking for smart, ambitious people who are passionate about revolutionizing the mortgage industry.

We are looking for Senior Software Engineer with Machine Learning experience to build self-learning applications in area of document imaging.

A Senior Software Engineer should have the ability to prioritize well, communicate clearly, have a consistent track record of delivery, mentoring and excellent software engineering skills. Creative engineering balanced with high quality and a customer focus. Must be able to work across multiple facets of the product. Strong analytical capability and the ability to create innovative solutions. We are looking for a highly motivated individual who is looking to grow their career in an agile environment.

Responsibilities

  • Drive/Actively participate in design discussions around business requirements with, Product Owners and Business Owner.  Own a fairly undefined/ unbounded problem, research and build  appropriate  machine learning models to meet business requirements
  • Prototype various Deep learning models, run tests and experiments. Perform statistical analysis on results, fine-tune system based on results
  • Train, re-train systems as required
  • Be updated on the developments in ML frameworks
  • An Agile developer, focusing on sustainable development by exercising good estimation, effective branching strategies for managing code, and continuous deployment to get fast feedback from users
  • Provide recommendations for continuous improvement, across product, architecture and implementation
  • Prepare design artifacts  including  interface specification, persistence model, screen mockups where required
  • Collaborate cross-functionally with Technical Owners, Product managers and other engineers to achieve elegant solutions
  • Advocate of TDD practice
  • Implement modules ensuring best coding practice
  • Resolving technical issues of the Product implementation
  • Assist Operations / Support team in resolving Production Issues
  • Provide technical guidance to young smart Software Engineers

Education & Experience

  • Degree in Computer Science. Mathematics or equivalent. Master's degree is a plus
  • 7 + years experience as a Software Engineer or Equivalent
  • Minimum 3+ years ( out of 7 years ) of experience as Machine Learning Engineer
  • Good understanding of Data Structures, Data Modeling and Software Architecture
  • Good knowledge of Mathematics, Statistics, Probability and Algorithms
  • Good knowledge of Image Processing. Working experience on OpenCV libraries ( Nice to have )
  • Experience of coding in Python and/ or C++
  • Experience of working on Machine Learning Frameworks like Tensor Flow, Keras, PyTorch and libraries like sci-kit, Natural Language Tool Kit
  • Analytical and problem solving skills
  • Good experience with Docker, Kubernetes etc (nice to have)
  • Good knowledge of Product Engineering Processes

General Business Skills

  • Good communication skills both spoken and written ,to articulate problems and propose solutions with stakeholders (must have)
  • Good interpersonal skills (must have)
  • Understanding of US Mortgage processes and/or similar financial industry is an added advantage (nice to have)

Other Requirements:

  • Valid Passport
  • Open to work in shifts and weekends, when circumstances warrant

 

To apply for this position, please send your resume and brief cover letter to careers@capsilon.com.  Please use the job title as the subject line.