AI/ML Engineer

SOS International LLC (SOSi); Chantilly (VA); On-site; USD 120,000 - 170,000; Full time

Job summary

SOS International LLC (SOSi) is seeking an Artificial Intelligence/Machine Learning Engineer to design, develop, test, evaluate, and deploy AI/ML models across domains including NLP, CV, and generative AI. The role emphasizes collaboration with staff to run experiments and validate performance, with cloud-based deployment and emphasis on security.

Required are Python/R programming, DL frameworks (PyTorch, TensorFlow, Keras), GitHub, and cloud AI/ML experience.

Qualifications

• Proficient in Python or R for AI/ML development.
• Deep learning frameworks such as PyTorch, TensorFlow, or Keras.
• Experience with GitHub version control for code collaboration.
• Cloud computing services for AI/ML development and deployment.
• Active TS/SCI w/ Poly security clearance.

Responsibilities

• Design, develop, test, evaluate, and deploy AI/ML models and ensembles.
• Preprocess, clean, and analyze large data volumes for model training and testing.
• Collaborate with staff officers to design experiments and verify model performance.
• Deploy and maintain AI/ML models in cloud environments with scalability and security.
• Develop ETL pipelines, SQL configurations, and performance metrics.

Skills

Python

R

Deep learning

NLP

Computer vision

Reinforcement learning

Tools

PyTorch

TensorFlow

Keras

GitHub

Cloud platforms

Job description

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.