Qualifications

• Bachelor's degree in Computer Science, Statistics, Engineering or related discipline
• 2+ years of experience in AI/ML engineering
• 3+ years of strong software engineering experience, particularly in Python
• Experience operationalizing ML models in production
• Familiarity with MLOps frameworks like AWS SageMaker, MLflow, or Kubeflow
• Expertise in using scalable model serving platforms like TensorFlow Serving or TorchServe
• Advanced knowledge of cloud platforms (AWS, Azure, GCP) and DevOps tools like Terraform.

Responsibilities

• Design, build, and maintain AI/ML lifecycle core services
• Create utilities to ensure optimal orchestration in the AI/ML environment
• Develop infrastructure for training and deploying machine learning models
• Create reusable components to accelerate AI/ML development
• Build model serving platforms for efficient inference
• Implement automated machine learning pipelines and MLOps practices
• Establish version control and robust testing frameworks for AI/ML components

Benefits

• On-site work at the Pentagon, providing high-security and impactful experience
• Opportunity to work in a cutting-edge field of AI/ML technology
• Collaborative work environment with a diverse team of experts
• Potential career growth within a premier defense contractor
• Engagement in projects that have significant national implications.