AIML Engineer

SOSi; Chantilly (VA); Presencial; USD 64.000 - 78.000; Jornada completa

Descripción de la vacante

SOSi in Chantilly, VA is seeking an AI/ML Engineer to design, develop, test, and deploy AI/ML models across domains such as NLP, computer vision, and reinforcement learning. You will preprocess data, build experiments, and deploy scalable cloud-based solutions while ensuring security and compliance.

The role requires an active Top Secret Clearance and hands-on experience with Python, PyTorch, TensorFlow/Keras, cloud services, and model deployment.

Formación

• Active Top Secret Clearance required.
• Proficient in Python or R for AI/ML development.
• Experience with deep learning frameworks (PyTorch, TensorFlow, Keras).
• Experience with cloud-based AI/ML development and deployment.

Responsabilidades

• Design and develop AI/ML models and ensembles using Sponsor data.
• Preprocess and analyze large structured/unstructured data for model training.
• Collaborate to design experiments to verify model performance.
• Deploy and maintain AI/ML models in cloud environments with scalability and security.
• Develop ETL pipelines and SQL configurations for AI/ML apps.
• Document methods and findings; create visualizations and reports.
• Provide technical education on AI/ML topics to staff.
• Provide subject matter expertise to support Sponsor's initiatives.

Conocimientos

Python

PyTorch

TensorFlow/Keras

GitHub

Cloud computing

Model deployment

Herramientas

Flask

Tableau

SQL

Descripción del empleo

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

Qualifications

Minimum Requirements

• Active Top Secret Clearance.
• 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.

Compensation

$70,562-$70,562 per year