AI/ML Engineer

Posted 18 Days Ago
Chantilly, VA, USA
In-Office
71K-147K Annually
Entry level
Aerospace • Information Technology • Professional Services • Defense
The Role
Design, develop, test, evaluate, deploy, and maintain AI/ML models across generative AI, classification, prediction, computer vision, NLP, and reinforcement learning. Process structured and unstructured data, build ETL pipelines, conduct experiments, measure performance, deploy models in cloud environments, document findings, brief stakeholders, educate staff, and provide AI/ML subject matter expertise.
Summary Generated by Built In
Company Description

Founded in 1989 and headquartered in Reston, Virginia, SOSi is a private defense and government solutions business specializing in advanced technology systems and mission support. Its capabilities include data science, software development, network engineering, intelligence, surveillance, and reconnaissance (ISR), and logistics.

Job Description

*Position is contingent upon contract award*

SOSi is seeking an Artificial Intelligence/Machine Learning (Al/ML) Engineer. The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles across various domains, including generative Al, classification, prediction, computer vision, natural language processing (NLP), and reinforcement learning. Al/ML engineering services will be provided to support Sponsor's initiatives, leveraging expertise in Al/ML algorithms, software development, and cloud computing.

Essential Job Duties

  • Design and develop Al/ML models and ensembles using Sponsor's data and requirements.
  • Preprocess, clean, and analyze large volumes of structured and unstructured Sponsor data to assess utility for Al model training and testing.
  • Collaborate with staff officers to conceptualize, design, develop, and execute experiments verifying model performance and system soundness.
  • Deploy and maintain Al/ML models and ensembles in cloud-based environments, ensuring scalability, reliability, and security.
  • Develop and maintain extract, transform, and load (ETL) pipelines, SQL configurations, and
  • performance metrics to support Al/ML applications.
  • Document and communicate methods and findings using Sponsor's formats and templates, which could include authoring analytic publications, producing ad-hoc reports, creating data visualizations, delivering slideshow presentations or briefings, or documenting methods in GitHub repositories.
  • Provide technical education to staff on an ad-hoc basis on AI/ML related topics.
  • Provide subject matter expertise in Al/ML to support Sponsor's initiatives.

Qualifications

Minimum Requirements

  • Active TS/SCI w/ Poly. 
  • Demonstrated professional experience with the following required tools, systems, services, and data types:
    • Python or R programming languages for AI/ML development.
    • Deep learning frameworks, such as PyTorch, TensorFlow, or Keras.
    • Version control systems, such as GitHub.
    • Cloud computing services from major providers, including experience with cloud-based AI/ML development and deployment.
    • AI/ML model development and deployment, including model turning, experimentation, validation, and benchmarking.

Preferred Qualifications

  • Experience with AI/ML model explainability and interpretability techniques.
  • Familiarity with Sponsor’s enterprise services, security controls, and data management practices.
  • Experience with front-end web development frameworks, such as Flask.
  • Experience with Tableau to produce visualizations and dashboards.
  • Experience with verification and validation test benches.

Additional Information

Work Environment

  • Working conditions are normal for an office environment.
  • Fast paced, deadline-oriented environment.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.

Skills Required

  • Active TS/SCI with Polygraph security clearance
  • Professional experience using Python or R for AI/ML development
  • Experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras
  • Experience with version control systems such as GitHub
  • Experience with cloud computing services and cloud-based AI/ML development and deployment
  • Experience with AI/ML model development and deployment, including model tuning, experimentation, validation, and benchmarking
  • Experience with AI/ML model explainability and interpretability techniques
  • Familiarity with enterprise services, security controls, and data management practices
  • Experience with front-end web development frameworks such as Flask
  • Experience with Tableau for visualizations and dashboards
  • Experience with verification and validation test benches

SOSi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SOSi and has not been reviewed or approved by SOSi.

  • Healthcare Strength — Health coverage is considered a relative strength, with international plan options and substantial employer contribution that support OCONUS and travel-heavy work. Company materials also highlight a comprehensive medical offering alongside wellness support.
  • Retirement Support — A 401(k) program is available, with indications of employer matching though specifics are not publicly detailed. This suggests foundational retirement support for eligible employees.
  • Career-Linked Recognition & Rewards — Compensation is often characterized as competitive for cleared, hard‑to‑hire, and certain overseas or mission‑critical roles. Pay levels appear closely tied to contract demands, clearance, and location.

SOSi Insights

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The Company
HQ: Reston, VA
2,460 Employees
Year Founded: 1989

What We Do

SOSi is a technology and services integrator focused on the aerospace, defense, and government services industry, described as one of the largest private, founder-owned companies in its sector.

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