Senior AI-ML Engineer

Job Summary

We are seeking a Senior-level AI/ML Engineer to design, develop, and deploy advanced artificial intelligence and machine learning solutions in support of mission-critical government programs. This role requires deep expertise in architecting scalable, high-performing AI systems on cloud platforms, integrating AI/ML models with enterprise systems, and leveraging big data processing to drive intelligent outcomes.

The ideal candidate brings hands-on experience with cloud-based AI platforms, advanced machine learning techniques, and Responsible AI practices, and thrives in a collaborative, fast-paced technical environment.

Responsibilities

• Design, develop, and deploy scalable AI/ML solutions on cloud platforms.

• Architect high-performing AI systems for predictive analytics, natural language processing, and computer vision applications.

• Implement and manage AI/ML pipelines and tooling in cloud environments.

• Integrate AI/ML models with existing enterprise and cloud-based systems to ensure seamless operations.

• Apply advanced machine learning techniques and big data processing to enhance model performance.

• Adhere to Responsible AI (RAI) policies and develop metrics to evaluate AI solution effectiveness.

• Collaborate with cross-functional teams to identify opportunities for AI/ML adoption and integration.

• Stay current with emerging AI/ML technologies, tools, and industry best practices.

Qualifications

Required

• Active TS/SCI clearance.

• Bachelors or Masters degree in Computer Science, Information Technology, Management Information Systems, or a related STEM field.

• 6–10 years of experience in AI/ML development and deployment.

• Proven experience in designing and implementing AI/ML solutions and cloud-based pipeline tools.

• Advanced expertise in architecting scalable, high-performing AI systems for NLP, computer vision, and predictive analytics.

• Extensive experience with cloud AI platforms such as Azure Machine Learning, AWS SageMaker, or Google Vertex AI.

• Strong background in big data processing and advanced ML techniques.

• Demonstrated ability to integrate AI/ML models with enterprise systems and cloud environments.

• Deep proficiency in machine learning programming languages such as Python or R.

• In-depth knowledge of AI cloud tools and capabilities.

• Understanding of Responsible AI (RAI) principles, metrics, and evaluation methodologies.

• Relevant certifications such as:

  • Azure Solutions Architect

  • AI Engineer Associate (or equivalent)

  • AWS Certified Machine Learning

  • Security+

Desired

• Experience with containerization and orchestration technologies (Docker, Kubernetes).

• Knowledge of DevOps practices and CI/CD pipelines.

• Familiarity with data visualization tools and techniques.

• Strong problem-solving skills and ability to perform effectively in a fast-paced environment.

Suitland, Maryland, United States

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