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 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:
- Evaluates performance results and recommends major changes affecting short-term project growth and success.
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Functions as a technical expert across multiple project assignments.
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Design, build, and maintain AI/ML lifecycle core services and products
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Create utilities and ensure seamless function of orchestration capabilities to support the AI/ML environment
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Develop and implement infrastructure for training, validating, and deploying machine learning models
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Create reusable components and libraries to accelerate AI/ML development and use of Generative AI capabilities
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Build model serving platforms for efficient inference
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Implement automated machine learning pipelines and MLOps practices for continuous integration and deployment (CI/CD) of models
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Optimize AI/ML algorithms for performance and scalability
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Troubleshoot complex issues in AI/ML systems
Minimum Qualifications:
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Bachelor's degree in Computer Science, Statistics, Engineering or other related discipline
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8+ years of experience
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3+ years of software engineering experience with deep proficiency in Python
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Proven experience operationalizing Machine Learning models in production environments
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Hands-on experience with model evaluation, versioning, and CI/CD integration
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Strong API development skills
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Familiarity with MLOps frameworks such as AWS SageMake, MLflow, Kubeflow, or Airflow.
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Expertise in scalable model serving platforms such as TensorFlow Serving, TorchServe, or ONNX runtime.
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Advanced knowledge of cloud platforms (e.g., AWS, Azure, or GCP) and DevOps practices including Terraform or Helm.
Preferred Qualifications:
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10+ years of experience
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Hands-on experience with Kubernetes and deploying containerized ML services
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Experience working with feature stores
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Experience utilizing Databricks or similar cloud-native ML tooling
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Experience working with feature stores and distributed data frameworks (e.g., Spark).
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Proficiency in model interpretation tools like SHAP or LIME.
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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%
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Frequently communicates with co-workers, management, and customers, which may involve delivering presentations
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Must be able to exchange accurate information in these situations
