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Machine Learning Engineer
Machine Learning EngineerFantom Corporation • McLean, VA, US
Machine Learning Engineer

Machine Learning Engineer

Fantom Corporation • McLean, VA, US
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Job Description

Job Description

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.

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.

Qualifications

  • 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.
  • Requirements

  • Must be fully cleared with a recent polygraph
  • Must be willing and able to work fully onsite at the location listed in this posting
  • Fantom Corp is a Software Development, Agile Cloud, Software Development, Cyber Security (Risk Management, Assessments & Authorization (A&A)), Data, AI Platform (Computer Vision Models), Podcasting Media Services, and IT Services provider. Established in 2015, Fantom Corp serves Federal customers with top-notch Cybersecurity Architects, Data Scientists / Analysts, Software Engineers / Developers, DevSecOps Engineers, Project Managers, Identity, Credential Access Management (ICAM) services , and Cloud-certified practitioners. We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML) with a focus on identifying trends, object detection, and classification of structured and unstructured data. Fantom Corp possesses mastery in all aspects of digital audio production. We lead in the ideation and creation of efforts for clients who want to harness the power of podcasting. We guide them in selecting the right show format for their needs and goals. As a Small Business, we possess the innovation, speed and flexibility to meet your requirements.

    We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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