Junior AI/ML Engineer

Description & Requirements

Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!


***This is for a future opportunity***


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

The projected compensation range for this position is $83,300.00-$139,800.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, MANTECH invests in its employees beyond just compensation. MANTECH’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.

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 View email address on click.appcast.io and provide your name and contact information.