Software/Machine Learning Engineer - R123

Location: Herndon, VA

Department: Computer Vision - Deep Learning/AI

Location Type: IN_OFFICE

Employment Type: FULL_TIME

• 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. 

• 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 or higher security clearance (TS/SCI preferred) 
• 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 deply 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 

Clearance Required:  Top Secret/SCI