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As a Data Software Engineer, you will leverage your skills in data science, machine learning, and software development to operationalize advanced statistical machine learning algorithms and support production-level systems. You will closely work with other software engineers and researchers to design cutting-edge solutions to challenging problems impacting national security including classification, anomaly detection, forecasting, and much more. This role combines proficiency in programming languages such as Python and developing advanced machine learning solutions against disparate data feeds to craft cutting-edge solutions that address real-world challenges in national security.
Job Responsibility:
Explore a variety of data sources to build and integrate machine learning models into software
Develop machine learning and deep learning algorithms for large-scale multi-modal problems
Work with large data sets and develop software solutions for scalable analysis
Collaborate to create and maintain software for data pipelines, algorithms, storage, and access
Monitor software deployments, create logging frameworks, and design APIs
Build analytic tools that utilize data pipelines to provide actionable insights into customer requests
Develop and execute plans to improve software robustness and ensure system performance
Requirements:
Ability to obtain a Top Secret (TS) security clearance, for which U.S citizenship is needed by the U.S government
5+ years of experience in one or more high level programming languages, like Python
Experience working with large datasets for machine learning applications
Experience in navigating and contributing to complex, large code bases
Experience with containerization practices and CI/CD workflows
BS, MS, or PhD in a related field or equivalent experience
Nice to have:
Active Top Secret (TS) security clearance
Experience with probabilistic and statistical methods
Experience with mathematical concepts such as linear algebra and optimization
Experience with container orchestration systems, such as Kubernetes
Experience using databases including SQL and NoSQL databases
Experience developing parallel processing and distributed software workflows
Experience with dashboard frontends, such as Grafana or Kibana
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