$81,499.00 - $138,549.00; not specified; not speci...
Python and git experience
Containerized application deployment
Database interaction
This role will support development and evaluation of machine learning (ML) algorithms for resource constrained devices such as Unmanned Air/Ground Vehicles (UAV/UGV) toward realizing efficient and effective Intelligence, Surveillance, Reconnaissance (ISR) in tactical environments
Job Summary
This role will support development and evaluation of machine learning (ML) algorithms for resource constrained devices such as Unmanned Air/Ground Vehicles (UAV/UGV) toward realizing efficient and effective Intelligence, Surveillance, Reconnaissance (ISR) in tactical environments.
Key Responsibilities: Development of software using DevOps best practices within a team of software and hardware engineers.
The pay range for this position based on full-time employment is : $81,499.00 - $138,549.00 Maryland Client Office (MD88)
Matching Summary
This role will support development and evaluation of machine learning (ML) algorithms for resource constrained devices such as Unmanned Air/Ground Vehicles (UAV/UGV) toward realizing efficient and effective Intelligence, Surveillance, Reconnaissance (ISR) in tactical environments.
Salary
$81,499.00 - $138,549.00; Not specified; Not specified
Skills & Requirements
Must-have
Python and Git experience
containerized application deployment
database interaction
Linux Environments
software development best practices
parallel, distributed and multi-threaded programming
Nice-to-have
agile programming techniques
code reviews
network and CPU/GPU technologies
Key Requirements
Active US Government issued Security clearance
DoD 8570 compliant and maintain required certification for an IAT I level
BS degree in Computer Science, Engineering, Physical Science, Information Science, or Mathematics
Minimum of 6 years of research or technical experience
2 years of experience using Python and Git
At least 1 year of experience with containerized application deployment using Kubernetes or Docker
Minimum of 1 year of experience writing code to interact with databases
1 year of experience working inside Linux Environments
Ability to analyze, document, and publish technical reports