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Junior AI/ML Engineer with Security Clearance
MANTECHArlington, VA🇺🇸United StatesPosted 13 Jul 2026
Quick Overview
Work Type
On Site
Schedule
Employee
Level
Junior
Job Description
MANTECH seeks a motivated, career and customer-oriented Junior AI/ML Engineer to join our team. On site at the Pentagon. Responsibilities include, but are not limited to: * Design, build, and maintain AI/ML lifecycle core services and products
* Create utilities and ensure seamless function of orchestration capabilities to support the AI/ML environment
* Develop and implement infrastructure for training, validating, and deploying machine learning models
* Create reusable components and libraries to accelerate AI/ML development and use of Generative AI capabilities
* Build model serving platforms for efficient inference
* Implement automated machine learning pipelines and MLOps practices for continuous integration and deployment (CI/CD) of models
* Implement version control for models and datasets, and develop robust testing frameworks for AI/ML components Minimum Qualifications: * Bachelor's degree in Computer Science, Statistics, Engineering or other related discipline
* 3+ years of software engineering experience with deep proficiency in Python
* Proven experience operationalizing Machine Learning models in production environments
* Familiarity with MLOps frameworks such as AWS SageMake, MLflow, Kubeflow, or Airflow.
* Expertise in scalable model serving platforms such as TensorFlow Serving, TorchServe, or ONNX runtime.
* Advanced knowledge of cloud platforms (e.g., AWS, Azure, or GCP) and DevOps practices including Terraform or Helm.
Preferred Qualifications: * Hands-on experience with Kubernetes and deploying containerized ML services
* Experience working with feature stores
* Experience utilizing Databricks or similar cloud-native ML tooling
* Experience working with feature stores and distributed data frameworks (e.g., Spark).
* Proficiency in model interpretation tools like SHAP or LIME.
* Foundational understanding of linear algebra, calculus, and numerical computation to support algorithm optimization. Clearance Requirements: * US Citizenship with a DoD Secret clearance. Physical Requirements: * Must be able to remain in a stationary position 50%
* Frequently communicates with co-workers, management, and customers, which may involve delivering presentations
* Create utilities and ensure seamless function of orchestration capabilities to support the AI/ML environment
* Develop and implement infrastructure for training, validating, and deploying machine learning models
* Create reusable components and libraries to accelerate AI/ML development and use of Generative AI capabilities
* Build model serving platforms for efficient inference
* Implement automated machine learning pipelines and MLOps practices for continuous integration and deployment (CI/CD) of models
* Implement version control for models and datasets, and develop robust testing frameworks for AI/ML components Minimum Qualifications: * Bachelor's degree in Computer Science, Statistics, Engineering or other related discipline
* 3+ years of software engineering experience with deep proficiency in Python
* Proven experience operationalizing Machine Learning models in production environments
* Familiarity with MLOps frameworks such as AWS SageMake, MLflow, Kubeflow, or Airflow.
* Expertise in scalable model serving platforms such as TensorFlow Serving, TorchServe, or ONNX runtime.
* Advanced knowledge of cloud platforms (e.g., AWS, Azure, or GCP) and DevOps practices including Terraform or Helm.
Preferred Qualifications: * Hands-on experience with Kubernetes and deploying containerized ML services
* Experience working with feature stores
* Experience utilizing Databricks or similar cloud-native ML tooling
* Experience working with feature stores and distributed data frameworks (e.g., Spark).
* Proficiency in model interpretation tools like SHAP or LIME.
* Foundational understanding of linear algebra, calculus, and numerical computation to support algorithm optimization. Clearance Requirements: * US Citizenship with a DoD Secret clearance. Physical Requirements: * Must be able to remain in a stationary position 50%
* Frequently communicates with co-workers, management, and customers, which may involve delivering presentations
Skills
GCP
AWS
Linear
MLOps
MLflow
Machine Learning
Airflow
Azure
Databricks
Generative AI
Helm
Kubernetes
Python
TensorFlow
Terraform
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