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Junior AI​/ML Engineer

Job in Arlington, Arlington County, Virginia, 22201, USA
Listing for: MANTECH
Full Time position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

MANTECH seeks a motivated, career and customer-oriented Junior AI/ML Engineer to join our team. On site at the Pentagon.

Responsibilities
  • 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
  • 2+ years of experience
  • 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 Sage Make, MLflow, Kubeflow, or Airflow.
  • Expertise in scalable model serving platforms such as Tensor Flow Serving, Torch Serve, or ONNX runtime.
  • Advanced knowledge of cloud platforms (e.g., AWS, Azure, or GCP) and Dev Ops 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
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