Software/Machine Learning Engineer

• 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 deploy machine learning models in a containerized environment
• Comfortable working with Linux (Ubuntu) based operating systems (command line operations, scripting)

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