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Open nowFirst seen 3 days ago

Senior AI-ML Engineer

Vets Hired787 open roles

Where
Suitland, Maryland, United States
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Your applicationOpen nowSenior AI-ML EngineerVets Hired · Suitland, Maryland, United States

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 3 days ago

The posting

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.
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