Remote Ceramic Engineer Jobs in Virginia (NOW HIRING)

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

Summary:
Join a dynamic and diverse team at an industry-leading organization where our employees are our top priority. At MANTECH, 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. ManTech 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:

• Provides technical/management leadership on major tasks or technology assignments. Establishes goals and plans that meet project objectives.

• Directs and controls activities for a client, having overall responsibility for financial management, methods, and staffing to ensure that technical requirements are met.

• Interactions involve client negotiations and interfacing with senior management.

• Decision making and domain knowledge may have a critical impact on overall project implementation.

• 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

• Design systems for model monitoring and performance tracking

• Develop tools for model explainability and interpretability

• Optimize AI/ML algorithms for performance and scalability

Minimum Qualifications:

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

• 12+ 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 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:

• Master's degree in Computer Science, Statistics, Engineering or other related discipline

• 14+ years of experience

• 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 Top 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