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. 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.

Requirements

Must-haves

Position is contingent upon contract award*
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.
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.
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.

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningmlaisqlpython

Platform: smartrecruiters
Effort: medium

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