avature
Senior Artificial Machine Learning Operations Engineer
ManTech International
Ashburn, USA
Full-time
Senior · 3+ years experience
Hybrid
USD 116400-194900 yearly / year
Discovered Yesterday
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Description & Requirements
- MANTECH seeks a motivated, career and customer-oriented Senior AI ML Engineer . This is currently a hybrid position with two to three days onsite in Ashburn, VA .
- In this role, you will collaborate within a cross-functional team to develop new Artificial Intelligence/Machine Learning (AI/ML) based solutions into operational pipelines to deliver mission impact for U.S. Customs and Border Protection (CBP). The ideal candidate will have deep expertise and experience with predictive modeling lifecycles, hands-on experience with machine learning tools and frameworks, and a pragmatic, customer-centric approach to applying ML models to solve complex problems.
- Each day CBP oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to aid officers in detecting threats while promoting efficient trade and travel.
Responsibilities include but are not limited to
- Lead the integration and deployment of trained AI/ML models into production environments (e.g., cloud, edge devices) using MLOps best practices.
- Develop and optimize model training & inference pipelines for real-time execution, and efficiently handle large-scale data processing.
- Work with data science teams to structure automated ML model health monitoring and refresh capabilities.
- Implement continuous integration, delivery and training (CI/CD/CT) workflows with commercial and open-source modeling platforms/services.
- Coordinate with Data Science and Engineering teams to build scalable feature stores for optimal model training & execution workflows.
- Research, evaluate and recommend new tools, applications, software packages for MLOps engineering that can be adopted and approved for use in the CBP environment.
- Collaborate with cross-functional teams (e.g., Software Engineering, Data Science) to integrate and test multiple candidate AI/ML models and applications for operational assessment.
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