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
- 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 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
