Software/Machine Learning Engineer

Expedition TechnologyHerndon, VA

About The Position

Expedition Technology (EXP) is seeking a Software Engineer who thrives on backend development and has a passion for learning new things. The role involves working with and supporting the latest in computer vision related application development, with a focus on security, performance, maintainability, scalability, usability, and reliability. EXP hires individuals who excel and empowers them with flexibility and autonomy.

Requirements

  • United States Citizenship: Due to clearance and contractual requirements, all candidates must be able to obtain and maintain a US Government issued security clearance
  • Active Top Secret security clearance
  • BA/BS or higher in Computer Science, Computer Engineering or closely related field
  • At least 3 years + experience with backend development, ideally in AWS Cloud environments
  • Fundamental understanding of cloud computing concepts (serverless, scalability, microservices, high availability, and durability)
  • Some experience with integrating Kubernetes, Docker or other containerized ecosystems
  • Familiarity with object-oriented design and languages – emphasis on Python and Javascript
  • Some experience or interest in designing and implementing machine learning pipelines to deploy machine learning models in a containerized environment
  • Comfortable working with Linux (Ubuntu) based operating systems (command line operations, scripting)
  • Configuration Management (CM) experience using Git and familiarity with branching strategies
  • Enjoy learning new technologies and creating compelling software
  • Work with minimum supervision as part of a collaborative, agile team

Nice To Haves

  • TS/SCI preferred

Responsibilities

  • work with an extremely talented, motivated, supportive and welcoming team in an Agile ecosystem to develop new capabilities using the latest open-source frameworks
  • develop features, automated workflows and bug fixes for the system using Python 3, Docker, Kubernetes and AWS services
  • collaborate with a team to develop deep learning architectures and pipelines for novel applications
  • contribute to SDLC and coding best practices
  • develop and design RESTful APIs and streaming services
  • identify and resolve performance bottlenecks
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