***This is for a future opportunity***
MANTECH seeks a motivated, career and customer-oriented Subject Matter Expert (SME) AI/ML Engineer t o 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:
- Masters 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 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
MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at ... and provide your name and contact information.