AI/ML Engineer

SOSi; Washington (District of Columbia); On-site; USD 71,000 - 147,000; Full time

Job summary

SOSI is seeking an Artificial Intelligence/Machine Learning Engineer to design, develop, test, evaluate, and deploy AI/ML models across domains such as generative AI, NLP, computer vision, and reinforcement learning.

Responsibilities include preprocessing large Sponsor datasets, building ETL pipelines, and deploying models in cloud environments with a focus on scalability, reliability, and security. Collaboration with staff officers is required.

Qualifications

• 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.
• Familiarity with model development, evaluation, and benchmarking.

Responsibilities

• Design and develop AI/ML models and ensembles using Sponsor data.
• Preprocess and analyze large structured and unstructured data for model training.
• Collaborate with officers to design experiments and verify model performance.
• Deploy and maintain AI/ML models in cloud environments for scalability and security.
• Develop ETL pipelines, SQL configurations, and performance metrics.
• Document methods and findings and prepare reports/publications.
• Provide technical education on AI/ML topics to staff.

Skills

Python

R programming

AI/ML development

Deep learning

Tools

PyTorch

TensorFlow

Keras

GitHub

Cloud platforms

Job description

• Compensation: USD 70562 - USD 146553 - yearly

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.

• Designand developAl/ML models and ensembles using Sponsor's data and requirements.
• Preprocess, clean, and analyzelarge volumes of structured and unstructured Sponsor data to assess utility for Al model training and testing.
• Collaboratewith staff officers to conceptualize, design, develop, and execute experiments verifying model performance and system soundness.
• Deployand maintainAl/ML models and ensembles in cloud-based environments, ensuring scalability, reliability, and security.
• Developand maintainextract, transform, and load (ETL) pipelines, SQL configurations, and
• performance metrics to support Al/ML applications.
• Documentand 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.
• Providetechnical education to staff on an ad-hoc basis on AI/ML related topics.
• Providesubject matter expertise in Al/ML to support Sponsor's initiatives.

Qualifications

• 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

• 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.