Data Engineer- Machine Learning

Information Technology
in Reston
, VA
Reference: 19-02811
You’ll be responsible for leading development teams’ Machine Learning and Data Science efforts. You’ll also participate in or review all of the steps in the software development life cycle to create and modify the software.
  • Work with product owners and other development team members to determine new features and user stories needed in new/revised applications or large/complex development projects
  • Create or Update documentation in support of development efforts (documents may include detailed specifications, implementation guides, architecture diagrams or design documents)
  • Participate in code reviews with peers and managers to ensure that each increment adheres to original vision as described in the user story and all standard resource libraries and architecture patterns as appropriate
  • Respond to trouble/support calls for applications in production in order to make quick repair to keep application in production
  • Serve as a technical lead for an Agile team and actively participate in all Agile ceremonies
  • Participate in all team ceremonies including planning, grooming, product demonstration and team retrospectives
  • Mentor less experienced technical staff; may use high end development tools to assist or facilitate development process
  • Leverage DevOps tool stack to build, inspect, deploy, test and promote new or updated features
  • Set up and configure a continuous integration environment
  • Bachelor’s Degree or equivalent required
 Minimum Experience:
  • 6+ years of related experience
Knowledge and Skills:
  • Strong programming ability in at least two of R, Python, C/C++, Java
  • Knowledge of Machine Learning, Cognitive Computing, and/or other emerging analytical trends
  • Experience in developing and support large scale numerical simulation applications
  • Cloud computing, Big Data and machine learning experience is highly desirable
  • Must have working experience using Machine Learning (ML), Artificial Intelligence (AI) and Advanced Data Analytics best practices
  • Must be able to support integration of Predictive and Prescriptive Analytics in applications to develop insights and illuminate future courses of action
  • Must have experience investigating, proposing, and implementing new algorithms and technologies to enhance analytics capabilities