2 дня назад
Software Engineer (AI/ML)
140 000 - 175 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (AI/ML): Developing enterprise software, cloud solutions, and AI/ML capabilities for Naval Acoustics with an accent on machine learning architecture, modern programming languages, and enterprise application integration. Focus on rapidly prototyping and deploying cloud-based solutions, designing data flows, and solving complex operational problems in a multidisciplinary environment.
Location: Manassas, Virginia, United States office; telework opportunities are available. Ability to travel 15% to CONUS/OCONUS locations is required.
Salary: $140,000–$175,000 per year
Company
is the federal segment of Everforth, delivering advanced technology solutions in data and AI, cybersecurity, and enterprise transformation for defense, intelligence, and federal civilian agencies.
What you will do
- Develop software solutions by analyzing information needs, system flows, data usage, and user requirements.
- Prototype and develop AI/ML, big data, and cloud solutions supporting Naval Acoustics.
- Deploy capabilities to cloud environments and operational end users.
- Evaluate solution feasibility, define requirements, and recommend improvements to systems and processes.
- Collect, analyze, and summarize development and service issues while meeting project timelines.
- Collaborate with project and technical teams in an agile, multidisciplinary environment.
Requirements
- BA/BS degree in engineering, computer science, information technology, or equivalent experience.
- Secret Clearance with the ability to obtain TS/SCI.
- Five years of experience coding, designing, deploying, and supporting enterprise-level systems.
- Proficiency in modern programming languages such as Python, Java, and JavaScript.
- Experience with Docker, Kubernetes, Windows, Linux, enterprise application integration, and architecture and data flow diagrams.
- Strong analytical, communication, technical writing, presentation, and collaboration skills.
Nice to have
- Master's degree in computer engineering, electrical engineering, or a related technical field.
- Experience with acoustic data, sonar systems, acoustic engineering, computer vision, computer graphics, and homography.
- Experience with machine learning algorithms, DevSecOps, big data, and cloud technologies including Azure, GCP, or AWS.
- Experience supporting Department of Defense organizations or performers.
Culture & Benefits
- Opportunities for professional growth in a rapidly growing organization.
- Team-oriented office environment designed to support collaboration.
- Telework opportunities.
- Competitive compensation and benefits package.
- Work with advanced technology and federal customers in the AI/ML domain.
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