Machine Learning Engineer
About The Position
Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community. We partner with our customers to deliver high-impact technical solutions while fostering a culture built on trust, expertise, and long-term career growth. We are seeking a skilled Machine Learning Engineer to join our team and contribute to meaningful, mission-driven work for our customer. We are seeking a highly experienced technical professional to support mission-critical initiatives focused on enhancing signature management capabilities. This role will lead the development of innovative tools, integrate diverse data sources, and leverage advanced AI/ML solutions to support operational objectives. The ideal candidate brings strong expertise in cloud computing, software engineering, machine learning operations, and big data systems, along with the ability to collaborate effectively across technical and non-technical teams.
Requirements
- 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
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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
