FANTOM CORPORATION · 8 hours ago
Machine Learning Engineer
Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community. They are seeking a skilled Machine Learning Engineer to lead the development of innovative tools and enhance signature management capabilities through advanced AI/ML solutions.
Human ResourcesEmployment
Responsibilities
Design and develop scalable tools to enhance signature management capabilities
Integrate multiple, diverse data sources into a cohesive cloud-based architecture
Expand and strengthen AI/ML infrastructure and capabilities
Develop and deploy analytics-driven user interfaces to support operational users
Implement and manage Machine Learning Operations (MLOps) processes, including model deployment, monitoring, and lifecycle management
Support and optimize large-scale data environments for performance, reliability, and security
Collaborate with cross-functional stakeholders including engineers, leadership, and operational personnel
Communicate complex technical concepts clearly to both technical and non-technical audiences
Qualification
Required
Demonstrated experience working in cloud computing environments
Experience with containerization concepts and technologies
Hands-on experience with Machine Learning Operations (MLOps)
Strong background in software engineering, cloud architecture, and user interface design
Experience supporting and working within big data environments
Excellent written and verbal communication skills
Proficiency in Python and SQL
Experience with Docker
Experience with frameworks such as Flask, Gradio, or Streamlit
Experience developing or expanding AI/ML architectures within secure or enterprise environments
Must be fully cleared with a recent polygraph
Must be willing and able to work fully onsite at the location listed in this posting
Company
FANTOM CORPORATION
Fantom Corporation provides Podcasting Media and Information Technology (IT) Services to customers in defense and intelligence agencies.