AI/ML Engineer
S O S I Inc
Chantilly, VA, United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Cloud Computing
Extract Transform Load (ETL)
Data Visualization
Github
R (Programming Language)
Python (Programming Language)
Machine Learning
Tensorflow
Verification and Validation (Software)
SQL Databases
Tableau (Software)
+6 more
Pytorch
Flask (Web Framework)
Deep Learning
Keras
Data Management
Software Version Control
Job description
- 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.
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., * 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., * Working conditions are normal for an office environment.
- Fast paced, deadline-oriented environment.
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