Senior AI​/ML Engineer Security Clearance

Position: Senior AI/ML Engineer with Security Clearance
MANTECH seeks a motivated, career and customer-oriented Senior AI/ML Engineer to join our team. Onsite at the Pentagon.

Summary:

Join a dynamic and diverse team at an industry-leading organization where our employees are our top priority. At Man Tech, you'll contribute to protecting national security while working on cutting-edge AI/ML projects. You'll have the opportunity to push the boundaries of AI/ML innovation in support of our government clients. Man Tech also provides excellent opportunities for career growth and advancement. We are currently seeking a motivated, career-oriented, and customer-focused Senior AI/ML Engineer to join our team full-time.

Responsibilities include but are not limited to:
* Evaluates performance results and recommends major changes affecting short-term project growth and success.

* Functions as a technical expert across multiple project assignments.

* 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

* Optimize AI/ML algorithms for performance and scalability

* Troubleshoot complex issues in AI/ML systems

Minimum Qualifications:

* Bachelor's degree in Computer Science, Statistics, Engineering or other related discipline

* 8+ years of experience

* 3+ years of software engineering experience with deep proficiency in Python

* Proven experience operationalizing Machine Learning models in production environments

* Hands-on experience with model evaluation, versioning, and CI/CD integration

* Strong API development skills

* 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:

* 10+ years of experience

* 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 active 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

* Must be able to exchange accurate information in these situations