AI/ML Engineer
At a glance
Mid-level Machine Learning Engineering role at SOSi. Chantilly · full-time · $70,562–$146,553 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and assess AI/ML models using Sponsor data, then test how well they perform across relevant tasks
- Prepare structured and unstructured data for model training and testing by cleaning, analyzing and checking its usefulness
- Work with staff officers to plan experiments that check model performance and system soundness
- Deploy and maintain models in cloud environments, and build ETL pipelines, SQL configurations and performance metrics
- Explain your methods and findings through Sponsor-format reports, visualizations, briefings or GitHub documentation
What you bring
- You hold an active TS/SCI clearance with polygraph
- You have professional AI/ML development experience using Python or R and a deep-learning framework such as PyTorch or another listed option
- You have used version control and major-provider cloud services for AI/ML development and deployment
- You have built and deployed models, including tuning, experimentation, validation and benchmarking
Who this fits
This mid-level role suits an AI/ML engineer who can work across model development, data preparation and cloud deployment. The position is contingent on a contract award and is on-site in Chantilly.
From the employer
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.
*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.
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.
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.