AI Engineer
Omni Federal
Job Description Job Title: AI Engineer Location: Lackland AFB (5x per week) Security Clearance: TS/SCI We question. We listen. We adapt. Be honest. Be pragmatic. Omni Federal , founded in 2017 and headquartered in Washington, DC, is a highly specialized software solutions provider with a robust presence in key locations across the United States, including Boston, MA, Colorado Springs, CO, San Antonio, TX, and St. Louis, MO. Born out of the Department of Defense's software factory ecosystem, Omni has rapidly distinguished itself by delivering both mission-critical and enterprise solutions that enhance the technological capabilities of the federal government. With a focus on areas such as Command and Control, Cybersecurity, Space, Geospatial, and Modeling & Simulation, Omni leverages cutting-edge commercial technology tailored to government objectives, improving mission performance and delivering transformative outcomes for the Department of Defense (DoD), Intelligence Community (IC), and their end-users. The company's innovative approach is backed by its Omni Labs and SBIR Innovation centers, where they develop advanced platforms and tools in data mesh, secure connectivity, and intelligent automation. Why Omni?
- Environment of Autonomy
- Innovative Commercial Approach
- People over process
- Building, testing, and deploying production-grade artificial intelligence (AI) models
- Developing and maintaining the underlying AI infrastructure required for model training and inference
- Navigating between traditional software development and machine learning implementations to solve complex problems
- Developing minimum viable products (MVPs) based on established AI/ML best practices and standards of design
- Integrating AI and ML models and processes into Continuous Integration/Continuous Delivery (CI/CD) pipelines
- Performing data processing, featuring engineering, and post-deployment model monitoring to ensure performance and reliability
- 5+ years of experience with the following:
- Proficiency in Python and common data science/ML libraries (e.g., scikit-learn, Pandas, NumPy)
- Experience with one or more major machine learning frameworks (e.g., TensorFlow, PyTorch)
- Knowledge of CI/CD pipelines and experience integrating ML models into automated pipelines (e.g., using GitLab CI, Jenkins)
- Familiarity with containerization (Docker) and orchestration (Kubernetes) for deploying and managing ML services
- Experience with cloud platforms and their associated AI/ML services (e.g., AWS, Azure)
- Strong software development fundamentals, including version control (Git), testing, and debugging
- BS in Computer Science, Information Technology, Engineering, or a related technical discipline (A degree may be substituted with 8 yrs of general IT experience and at least 4 years of specialized AI/ML experience)
Vacancy posted 20 hours ago
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