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Software/Machine Learning Engineer - R123
- Herndon, Virginia, United States
- Herndon, Virginia, United States
À propos
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.
Does this sound like a challenge you'd like to embrace? Here are some of the skills we are looking for: 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)
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
Compétences linguistiques
- English
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